React web UI with flask-socketio API (#429)

* Implements rudimentary api
* Fixes blocking in API
* Adds UI to monorepo > src/frontend/
* Updates frontend/README
* Reverts conda env name to `ldm`
* Fixes environment yamls
* CORS config for testing
* Fixes LogViewer position
* API WID
* Adds actions to image viewer
* Increases vite chunkSizeWarningLimit to 1500
* Implements init image
* Implements state persistence in localStorage
* Improve progress data handling
* Final build
* Fixes mimetypes error on windows
* Adds error logging
* Fixes bugged img2img strength component
* Adds sourcemaps to dev build
* Fixes missing key
* Changes connection status indicator to text
* Adds ability to serve other hosts than localhost
* Adding Flask API server
* Removes source maps from config
* Fixes prop transfer
* Add missing packages and add CORS support
* Adding API doc
* Remove defaults from openapi doc
* Adds basic error handling for server config query
* Mostly working socket.io implementation.
* Fixes bug preventing mask upload
* Fixes bug with sampler name not written to metadata
* UI Overhaul, numerous fixes

Co-authored-by: Kyle Schouviller <kyle0654@hotmail.com>
Co-authored-by: Lincoln Stein <lincoln.stein@gmail.com>

.gitignore

@@ -77,9 +77,6 @@ db.sqlite3-journal
 instance/
 .webassets-cache
 
-# WebUI temp files:
-img2img-tmp.png
-
 # Scrapy stuff:
 .scrapy
 
@@ -186,3 +183,11 @@ testtube
 checkpoints
 # If it's a Mac
 .DS_Store
+
+# Let the frontend manage its own gitignore
+!frontend/*
+
+# Scratch folder
+.scratch/
+.vscode/
+gfpgan/

backend/modules/parameters.py

@@ -0,0 +1,206 @@
+from modules.parse_seed_weights import parse_seed_weights
+import argparse
+
+SAMPLER_CHOICES = [
+    'ddim',
+    'k_dpm_2_a',
+    'k_dpm_2',
+    'k_euler_a',
+    'k_euler',
+    'k_heun',
+    'k_lms',
+    'plms',
+]
+
+
+def parameters_to_command(params):
+    """
+    Converts dict of parameters into a `dream.py` REPL command.
+    """
+
+    switches = list()
+
+    if 'prompt' in params:
+        switches.append(f'"{params["prompt"]}"')
+    if 'steps' in params:
+        switches.append(f'-s {params["steps"]}')
+    if 'seed' in params:
+        switches.append(f'-S {params["seed"]}')
+    if 'width' in params:
+        switches.append(f'-W {params["width"]}')
+    if 'height' in params:
+        switches.append(f'-H {params["height"]}')
+    if 'cfg_scale' in params:
+        switches.append(f'-C {params["cfg_scale"]}')
+    if 'sampler_name' in params:
+        switches.append(f'-A {params["sampler_name"]}')
+    if 'seamless' in params and params["seamless"] == True:
+        switches.append(f'--seamless')
+    if 'init_img' in params and len(params['init_img']) > 0:
+        switches.append(f'-I {params["init_img"]}')
+    if 'init_mask' in params and len(params['init_mask']) > 0:
+        switches.append(f'-M {params["init_mask"]}')
+    if 'strength' in params and 'init_img' in params:
+        switches.append(f'-f {params["strength"]}')
+        if 'fit' in params and params["fit"] == True:
+            switches.append(f'--fit')
+    if 'gfpgan_strength' in params and params["gfpgan_strength"]:
+        switches.append(f'-G {params["gfpgan_strength"]}')
+    if 'upscale' in params and params["upscale"]:
+        switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}')
+    if 'variation_amount' in params and params['variation_amount'] > 0:
+        switches.append(f'-v {params["variation_amount"]}')
+        if 'with_variations' in params:
+            seed_weight_pairs = ','.join(f'{seed}:{weight}' for seed, weight in params["with_variations"])
+            switches.append(f'-V {seed_weight_pairs}')
+
+    return ' '.join(switches)
+
+
+
+def create_cmd_parser():
+    """
+    This is simply a copy of the parser from `dream.py` with a change to give
+    prompt a default value. This is a temporary hack pending merge of #587 which
+    provides a better way to do this.
+    """
+    parser = argparse.ArgumentParser(
+        description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12',
+        exit_on_error=True,
+    )
+    parser.add_argument('prompt', nargs='?', default='')
+    parser.add_argument('-s', '--steps', type=int, help='Number of steps')
+    parser.add_argument(
+        '-S',
+        '--seed',
+        type=int,
+        help='Image seed; a +ve integer, or use -1 for the previous seed, -2 for the one before that, etc',
+    )
+    parser.add_argument(
+        '-n',
+        '--iterations',
+        type=int,
+        default=1,
+        help='Number of samplings to perform (slower, but will provide seeds for individual images)',
+    )
+    parser.add_argument(
+        '-W', '--width', type=int, help='Image width, multiple of 64'
+    )
+    parser.add_argument(
+        '-H', '--height', type=int, help='Image height, multiple of 64'
+    )
+    parser.add_argument(
+        '-C',
+        '--cfg_scale',
+        default=7.5,
+        type=float,
+        help='Classifier free guidance (CFG) scale - higher numbers cause generator to "try" harder.',
+    )
+    parser.add_argument(
+        '-g', '--grid', action='store_true', help='generate a grid'
+    )
+    parser.add_argument(
+        '--outdir',
+        '-o',
+        type=str,
+        default=None,
+        help='Directory to save generated images and a log of prompts and seeds',
+    )
+    parser.add_argument(
+        '--seamless',
+        action='store_true',
+        help='Change the model to seamless tiling (circular) mode',
+    )
+    parser.add_argument(
+        '-i',
+        '--individual',
+        action='store_true',
+        help='Generate individual files (default)',
+    )
+    parser.add_argument(
+        '-I',
+        '--init_img',
+        type=str,
+        help='Path to input image for img2img mode (supersedes width and height)',
+    )
+    parser.add_argument(
+        '-M',
+        '--init_mask',
+        type=str,
+        help='Path to input mask for inpainting mode (supersedes width and height)',
+    )
+    parser.add_argument(
+        '-T',
+        '-fit',
+        '--fit',
+        action='store_true',
+        help='If specified, will resize the input image to fit within the dimensions of width x height (512x512 default)',
+    )
+    parser.add_argument(
+        '-f',
+        '--strength',
+        default=0.75,
+        type=float,
+        help='Strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely',
+    )
+    parser.add_argument(
+        '-G',
+        '--gfpgan_strength',
+        default=0,
+        type=float,
+        help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.',
+    )
+    parser.add_argument(
+        '-U',
+        '--upscale',
+        nargs='+',
+        default=None,
+        type=float,
+        help='Scale factor (2, 4) for upscaling followed by upscaling strength (0-1.0). If strength not specified, defaults to 0.75'
+    )
+    parser.add_argument(
+        '-save_orig',
+        '--save_original',
+        action='store_true',
+        help='Save original. Use it when upscaling to save both versions.',
+    )
+    # variants is going to be superseded by a generalized "prompt-morph" function
+    #    parser.add_argument('-v','--variants',type=int,help="in img2img mode, the first generated image will get passed back to img2img to generate the requested number of variants")
+    parser.add_argument(
+        '-x',
+        '--skip_normalize',
+        action='store_true',
+        help='Skip subprompt weight normalization',
+    )
+    parser.add_argument(
+        '-A',
+        '-m',
+        '--sampler',
+        dest='sampler_name',
+        default=None,
+        type=str,
+        choices=SAMPLER_CHOICES,
+        metavar='SAMPLER_NAME',
+        help=f'Switch to a different sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}',
+    )
+    parser.add_argument(
+        '-t',
+        '--log_tokenization',
+        action='store_true',
+        help='shows how the prompt is split into tokens'
+    )
+    parser.add_argument(
+        '-v',
+        '--variation_amount',
+        default=0.0,
+        type=float,
+        help='If > 0, generates variations on the initial seed instead of random seeds per iteration. Must be between 0 and 1. Higher values will be more different.'
+    )
+    parser.add_argument(
+        '-V',
+        '--with_variations',
+        default=None,
+        type=str,
+        help='list of variations to apply, in the format `seed:weight,seed:weight,...'
+    )
+    return parser

backend/modules/parse_seed_weights.py

@@ -0,0 +1,47 @@
+def parse_seed_weights(seed_weights):
+    """
+    Accepts seed weights as string in "12345:0.1,23456:0.2,3456:0.3" format
+    Validates them
+    If valid: returns as [[12345, 0.1], [23456, 0.2], [3456, 0.3]]
+    If invalid: returns False
+    """
+
+    # Must be a string
+    if not isinstance(seed_weights, str):
+        return False
+    # String must not be empty
+    if len(seed_weights) == 0:
+        return False
+
+    pairs = []
+
+    for pair in seed_weights.split(","):
+        split_values = pair.split(":")
+
+        # Seed and weight are required
+        if len(split_values) != 2:
+            return False
+
+        if len(split_values[0]) == 0 or len(split_values[1]) == 1:
+            return False
+
+        # Try casting the seed to int and weight to float
+        try:
+            seed = int(split_values[0])
+            weight = float(split_values[1])
+        except ValueError:
+            return False
+
+        # Seed must be 0 or above
+        if not seed >= 0:
+            return False
+
+        # Weight must be between 0 and 1
+        if not (weight >= 0 and weight <= 1):
+            return False
+
+        # This pair is valid
+        pairs.append([seed, weight])
+
+    # All pairs are valid
+    return pairs

backend/server.py

@@ -0,0 +1,399 @@
+import mimetypes
+import transformers
+import json
+import os
+import traceback
+import eventlet
+import glob
+import shlex
+import argparse
+
+from flask_socketio import SocketIO
+from flask import Flask, send_from_directory, url_for, jsonify
+from pathlib import Path
+from PIL import Image
+from pytorch_lightning import logging
+from threading import Event
+from uuid import uuid4
+
+from ldm.gfpgan.gfpgan_tools import real_esrgan_upscale
+from ldm.gfpgan.gfpgan_tools import run_gfpgan
+from ldm.generate import Generate
+from ldm.dream.pngwriter import PngWriter, PromptFormatter
+
+from modules.parameters import parameters_to_command, create_cmd_parser
+
+
+"""
+USER CONFIG
+"""
+
+output_dir = "outputs/"  # Base output directory for images
+host = 'localhost'  # Web & socket.io host
+port = 9090  # Web & socket.io port
+verbose = False # enables copious socket.io logging
+additional_allowed_origins = ['http://localhost:5173'] # additional CORS allowed origins
+
+
+"""
+END USER CONFIG
+"""
+
+
+"""
+SERVER SETUP
+"""
+
+
+# fix missing mimetypes on windows due to registry wonkiness
+mimetypes.add_type('application/javascript', '.js')
+mimetypes.add_type('text/css', '.css')
+
+app = Flask(__name__, static_url_path='', static_folder='../frontend/dist/')
+
+
+app.config['OUTPUTS_FOLDER'] = "../outputs"
+
+
+@app.route('/outputs/<path:filename>')
+def outputs(filename):
+    return send_from_directory(
+        app.config['OUTPUTS_FOLDER'],
+        filename
+    )
+
+
+@app.route("/", defaults={'path': ''})
+def serve(path):
+    return send_from_directory(app.static_folder, 'index.html')
+
+
+logger = True if verbose else False
+engineio_logger = True if verbose else False
+
+# default 1,000,000, needs to be higher for socketio to accept larger images
+max_http_buffer_size = 10000000
+
+cors_allowed_origins = [f"http://{host}:{port}"] + additional_allowed_origins
+
+socketio = SocketIO(
+                        app,
+                        logger=logger,
+                        engineio_logger=engineio_logger,
+                        max_http_buffer_size=max_http_buffer_size,
+                        cors_allowed_origins=cors_allowed_origins,
+                    )
+
+
+"""
+END SERVER SETUP
+"""
+
+
+"""
+APP SETUP
+"""
+
+
+class CanceledException(Exception):
+    pass
+
+
+canceled = Event()
+
+# reduce logging outputs to error
+transformers.logging.set_verbosity_error()
+logging.getLogger('pytorch_lightning').setLevel(logging.ERROR)
+
+# Initialize and load model
+model = Generate()
+model.load_model()
+
+
+# location for "finished" images
+result_path = os.path.join(output_dir, 'img-samples/')
+
+# temporary path for intermediates
+intermediate_path = os.path.join(result_path, 'intermediates/')
+
+# path for user-uploaded init images and masks
+init_path = os.path.join(result_path, 'init-images/')
+mask_path = os.path.join(result_path, 'mask-images/')
+
+# txt log
+log_path = os.path.join(result_path, 'dream_log.txt')
+
+# make all output paths
+[os.makedirs(path, exist_ok=True)
+ for path in [result_path, intermediate_path, init_path, mask_path]]
+
+
+"""
+END APP SETUP
+"""
+
+
+"""
+SOCKET.IO LISTENERS
+"""
+
+
+@socketio.on('requestAllImages')
+def handle_request_all_images():
+    print(f'>> All images requested')
+    parser = create_cmd_parser()
+    paths = list(filter(os.path.isfile, glob.glob(result_path + "*.png")))
+    paths.sort(key=lambda x: os.path.getmtime(x))
+    image_array = []
+    for path in paths:
+        image = Image.open(path)
+        metadata = {}
+        if 'Dream' in image.info:
+            try:
+                metadata = vars(parser.parse_args(shlex.split(image.info['Dream'])))
+            except SystemExit:
+                # TODO: Unable to parse metadata, ignore it for now,
+                # this can happen when metadata is missing a prompt
+                pass
+        image_array.append({'path': path, 'metadata': metadata})
+    return make_response("OK", data=image_array)
+
+
+@socketio.on('generateImage')
+def handle_generate_image_event(generation_parameters, esrgan_parameters, gfpgan_parameters):
+    print(f'>> Image generation requested: {generation_parameters}\nESRGAN parameters: {esrgan_parameters}\nGFPGAN parameters: {gfpgan_parameters}')
+    generate_images(
+        generation_parameters,
+        esrgan_parameters,
+        gfpgan_parameters
+    )
+    return make_response("OK")
+
+
+@socketio.on('runESRGAN')
+def handle_run_esrgan_event(original_image, esrgan_parameters):
+    print(f'>> ESRGAN upscale requested for "{original_image["url"]}": {esrgan_parameters}')
+    image = Image.open(original_image["url"])
+
+    seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
+
+    image = real_esrgan_upscale(
+        image=image,
+        upsampler_scale=esrgan_parameters['upscale'][0],
+        strength=esrgan_parameters['upscale'][1],
+        seed=seed
+    )
+
+    esrgan_parameters['seed'] = seed
+    path = save_image(image, esrgan_parameters, result_path, postprocessing='esrgan')
+    command = parameters_to_command(esrgan_parameters)
+
+    write_log_message(f'[Upscaled] "{original_image["url"]}" > "{path}": {command}')
+
+    socketio.emit(
+            'result', {'url': os.path.relpath(path), 'type': 'esrgan', 'uuid': original_image['uuid'],'metadata': esrgan_parameters})
+
+
+
+@socketio.on('runGFPGAN')
+def handle_run_gfpgan_event(original_image, gfpgan_parameters):
+    print(f'>> GFPGAN face fix requested for "{original_image["url"]}": {gfpgan_parameters}')
+    image = Image.open(original_image["url"])
+
+    seed = original_image['metadata']['seed'] if 'seed' in original_image['metadata'] else 'unknown_seed'
+
+    image = run_gfpgan(
+        image=image,
+        strength=gfpgan_parameters['gfpgan_strength'],
+        seed=seed,
+        upsampler_scale=1
+    )
+
+    gfpgan_parameters['seed'] = seed
+    path = save_image(image, gfpgan_parameters, result_path, postprocessing='gfpgan')
+    command = parameters_to_command(gfpgan_parameters)
+
+    write_log_message(f'[Fixed faces] "{original_image["url"]}" > "{path}": {command}')
+
+    socketio.emit(
+            'result', {'url': os.path.relpath(path), 'type': 'gfpgan', 'uuid': original_image['uuid'],'metadata': gfpgan_parameters})
+
+
+@socketio.on('cancel')
+def handle_cancel():
+    print(f'>> Cancel processing requested')
+    canceled.set()
+    return make_response("OK")
+
+
+# TODO: I think this needs a safety mechanism.
+@socketio.on('deleteImage')
+def handle_delete_image(path):
+    print(f'>> Delete requested "{path}"')
+    Path(path).unlink()
+    return make_response("OK")
+
+
+# TODO: I think this needs a safety mechanism.
+@socketio.on('uploadInitialImage')
+def handle_upload_initial_image(bytes, name):
+    print(f'>> Init image upload requested "{name}"')
+    uuid = uuid4().hex
+    split = os.path.splitext(name)
+    name = f'{split[0]}.{uuid}{split[1]}'
+    file_path = os.path.join(init_path, name)
+    os.makedirs(os.path.dirname(file_path), exist_ok=True)
+    newFile = open(file_path, "wb")
+    newFile.write(bytes)
+    return make_response("OK", data=file_path)
+
+
+# TODO: I think this needs a safety mechanism.
+@socketio.on('uploadMaskImage')
+def handle_upload_mask_image(bytes, name):
+    print(f'>> Mask image upload requested "{name}"')
+    uuid = uuid4().hex
+    split = os.path.splitext(name)
+    name = f'{split[0]}.{uuid}{split[1]}'
+    file_path = os.path.join(mask_path, name)
+    os.makedirs(os.path.dirname(file_path), exist_ok=True)
+    newFile = open(file_path, "wb")
+    newFile.write(bytes)
+    return make_response("OK", data=file_path)
+
+
+
+"""
+END SOCKET.IO LISTENERS
+"""
+
+
+
+"""
+ADDITIONAL FUNCTIONS
+"""
+
+
+def write_log_message(message, log_path=log_path):
+    """Logs the filename and parameters used to generate or process that image to log file"""
+    message = f'{message}\n'
+    with open(log_path, 'a', encoding='utf-8') as file:
+        file.writelines(message)
+
+
+def make_response(status, message=None, data=None):
+    response = {'status': status}
+    if message is not None:
+        response['message'] = message
+    if data is not None:
+        response['data'] = data
+    return response
+
+
+def save_image(image, parameters, output_dir, step_index=None, postprocessing=False):
+    seed = parameters['seed'] if 'seed' in parameters else 'unknown_seed'
+
+    pngwriter = PngWriter(output_dir)
+    prefix = pngwriter.unique_prefix()
+
+    filename = f'{prefix}.{seed}'
+
+    if step_index:
+        filename += f'.{step_index}'
+    if postprocessing:
+        filename += f'.postprocessed'
+
+    filename += '.png'
+
+    command = parameters_to_command(parameters)
+
+    path = pngwriter.save_image_and_prompt_to_png(image, command, filename)
+
+    return path
+
+def generate_images(generation_parameters, esrgan_parameters, gfpgan_parameters):
+    canceled.clear()
+
+    step_index = 1
+
+    def image_progress(sample, step):
+        if canceled.is_set():
+            raise CanceledException
+        nonlocal step_index
+        nonlocal generation_parameters
+        if generation_parameters["progress_images"] and step % 5 == 0 and step < generation_parameters['steps'] - 1:
+            image = model.sample_to_image(sample)
+            path = save_image(image, generation_parameters, intermediate_path, step_index)
+
+            step_index += 1
+            socketio.emit('intermediateResult', {
+                          'url': os.path.relpath(path), 'metadata': generation_parameters})
+        socketio.emit('progress', {'step': step + 1})
+        eventlet.sleep(0)
+
+    def image_done(image, seed):
+        nonlocal generation_parameters
+        nonlocal esrgan_parameters
+        nonlocal gfpgan_parameters
+
+        all_parameters = generation_parameters
+        postprocessing = False
+
+        if esrgan_parameters:
+            image = real_esrgan_upscale(
+                image=image,
+                strength=esrgan_parameters['strength'],
+                upsampler_scale=esrgan_parameters['level'],
+                seed=seed
+            )
+            postprocessing = True
+            all_parameters["upscale"] = [esrgan_parameters['level'], esrgan_parameters['strength']]
+
+        if gfpgan_parameters:
+            image = run_gfpgan(
+                image=image,
+                strength=gfpgan_parameters['strength'],
+                seed=seed,
+                upsampler_scale=1,
+            )
+            postprocessing = True
+            all_parameters["gfpgan_strength"] = gfpgan_parameters['strength']
+
+        all_parameters['seed'] = seed
+
+        path = save_image(image, all_parameters, result_path, postprocessing=postprocessing)
+        command = parameters_to_command(all_parameters)
+
+        print(f'Image generated: "{path}"')
+        write_log_message(f'[Generated] "{path}": {command}')
+
+        socketio.emit(
+            'result', {'url': os.path.relpath(path), 'type': 'generation', 'metadata': all_parameters})
+        eventlet.sleep(0)
+
+    try:
+        model.prompt2image(
+            **generation_parameters,
+            step_callback=image_progress,
+            image_callback=image_done
+        )
+
+    except KeyboardInterrupt:
+        raise
+    except CanceledException:
+        pass
+    except Exception as e:
+        socketio.emit('error', (str(e)))
+        print("\n")
+        traceback.print_exc()
+        print("\n")
+
+
+"""
+END ADDITIONAL FUNCTIONS
+"""
+
+
+if __name__ == '__main__':
+    print(f'Starting server at http://{host}:{port}')
+    socketio.run(app, host=host, port=port)

docs/index.html

@@ -0,0 +1,19 @@
+<!-- HTML for static distribution bundle build -->
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8">
+    <title>Swagger UI</title>
+    <link rel="stylesheet" type="text/css" href="swagger-ui/swagger-ui.css" />
+    <link rel="stylesheet" type="text/css" href="swagger-ui/index.css" />
+    <link rel="icon" type="image/png" href="swagger-ui/favicon-32x32.png" sizes="32x32" />
+    <link rel="icon" type="image/png" href="swagger-ui/favicon-16x16.png" sizes="16x16" />
+  </head>
+
+  <body>
+    <div id="swagger-ui"></div>
+    <script src="swagger-ui/swagger-ui-bundle.js" charset="UTF-8"> </script>
+    <script src="swagger-ui/swagger-ui-standalone-preset.js" charset="UTF-8"> </script>
+    <script src="swagger-ui/swagger-initializer.js" charset="UTF-8"> </script>
+  </body>
+</html>

docs/openapi3_0.yaml

@@ -0,0 +1,73 @@
+openapi: 3.0.3
+info:
+  title: Stable Diffusion
+  description: |-
+    TODO: Description Here
+    
+    Some useful links:
+    - [Stable Diffusion Dream Server](https://github.com/lstein/stable-diffusion)
+    
+  license:
+    name: MIT License
+    url: https://github.com/lstein/stable-diffusion/blob/main/LICENSE
+  version: 1.0.0
+servers:
+  - url: http://localhost:9090/api
+tags:
+  - name: images
+    description: Retrieve and manage generated images
+paths:
+  /images/{imageId}:
+    get:
+      tags:
+        - images
+      summary: Get image by ID
+      description: Returns a single image
+      operationId: getImageById
+      parameters:
+        - name: imageId
+          in: path
+          description: ID of image to return
+          required: true
+          schema:
+            type: string
+      responses:
+        '200':
+          description: successful operation
+          content:
+            image/png:
+              schema: 
+                type: string
+                format: binary
+        '404':
+          description: Image not found
+  /intermediates/{intermediateId}/{step}:
+    get:
+      tags:
+        - images
+      summary: Get intermediate image by ID
+      description: Returns a single intermediate image
+      operationId: getIntermediateById
+      parameters:
+        - name: intermediateId
+          in: path
+          description: ID of intermediate to return
+          required: true
+          schema:
+            type: string
+        - name: step
+          in: path
+          description: The generation step of the intermediate
+          required: true
+          schema:
+            type: string
+      responses:
+        '200':
+          description: successful operation
+          content:
+            image/png:
+              schema: 
+                type: string
+                format: binary
+        '404':
+          description: Intermediate not found

docs/swagger-ui/index.css

@@ -0,0 +1,16 @@
+html {
+    box-sizing: border-box;
+    overflow: -moz-scrollbars-vertical;
+    overflow-y: scroll;
+}
+
+*,
+*:before,
+*:after {
+    box-sizing: inherit;
+}
+
+body {
+    margin: 0;
+    background: #fafafa;
+}

docs/swagger-ui/oauth2-redirect.html

@@ -0,0 +1,79 @@
+<!doctype html>
+<html lang="en-US">
+<head>
+    <title>Swagger UI: OAuth2 Redirect</title>
+</head>
+<body>
+<script>
+    'use strict';
+    function run () {
+        var oauth2 = window.opener.swaggerUIRedirectOauth2;
+        var sentState = oauth2.state;
+        var redirectUrl = oauth2.redirectUrl;
+        var isValid, qp, arr;
+
+        if (/code|token|error/.test(window.location.hash)) {
+            qp = window.location.hash.substring(1).replace('?', '&');
+        } else {
+            qp = location.search.substring(1);
+        }
+
+        arr = qp.split("&");
+        arr.forEach(function (v,i,_arr) { _arr[i] = '"' + v.replace('=', '":"') + '"';});
+        qp = qp ? JSON.parse('{' + arr.join() + '}',
+                function (key, value) {
+                    return key === "" ? value : decodeURIComponent(value);
+                }
+        ) : {};
+
+        isValid = qp.state === sentState;
+
+        if ((
+          oauth2.auth.schema.get("flow") === "accessCode" ||
+          oauth2.auth.schema.get("flow") === "authorizationCode" ||
+          oauth2.auth.schema.get("flow") === "authorization_code"
+        ) && !oauth2.auth.code) {
+            if (!isValid) {
+                oauth2.errCb({
+                    authId: oauth2.auth.name,
+                    source: "auth",
+                    level: "warning",
+                    message: "Authorization may be unsafe, passed state was changed in server. The passed state wasn't returned from auth server."
+                });
+            }
+
+            if (qp.code) {
+                delete oauth2.state;
+                oauth2.auth.code = qp.code;
+                oauth2.callback({auth: oauth2.auth, redirectUrl: redirectUrl});
+            } else {
+                let oauthErrorMsg;
+                if (qp.error) {
+                    oauthErrorMsg = "["+qp.error+"]: " +
+                        (qp.error_description ? qp.error_description+ ". " : "no accessCode received from the server. ") +
+                        (qp.error_uri ? "More info: "+qp.error_uri : "");
+                }
+
+                oauth2.errCb({
+                    authId: oauth2.auth.name,
+                    source: "auth",
+                    level: "error",
+                    message: oauthErrorMsg || "[Authorization failed]: no accessCode received from the server."
+                });
+            }
+        } else {
+            oauth2.callback({auth: oauth2.auth, token: qp, isValid: isValid, redirectUrl: redirectUrl});
+        }
+        window.close();
+    }
+
+    if (document.readyState !== 'loading') {
+        run();
+    } else {
+        document.addEventListener('DOMContentLoaded', function () {
+            run();
+        });
+    }
+</script>
+</body>
+</html>

docs/swagger-ui/swagger-initializer.js

@@ -0,0 +1,20 @@
+window.onload = function() {
+  //<editor-fold desc="Changeable Configuration Block">
+
+  // the following lines will be replaced by docker/configurator, when it runs in a docker-container
+  window.ui = SwaggerUIBundle({
+    url: "openapi3_0.yaml",
+    dom_id: '#swagger-ui',
+    deepLinking: true,
+    presets: [
+      SwaggerUIBundle.presets.apis,
+      SwaggerUIStandalonePreset
+    ],
+    plugins: [
+      SwaggerUIBundle.plugins.DownloadUrl
+    ],
+    layout: "StandaloneLayout"
+  });
+
+  //</editor-fold>
+};

environment-mac.yaml

@@ -40,6 +40,11 @@ dependencies:
   - tensorboard==2.9.0
   - torchmetrics==0.9.3
   - pip:
+    - flask==2.1.3
+    - flask_socketio==5.3.0
+    - flask_cors==3.0.10
+    - dependency_injector==4.40.0
+    - eventlet
     - opencv-python==4.6.0
     - protobuf==3.20.1
     - realesrgan==0.2.5.0

environment.yaml

@@ -25,6 +25,11 @@ dependencies:
     - torch-fidelity==0.3.0
     - transformers==4.19.2
     - torchmetrics==0.6.0
+    - flask==2.1.3
+    - flask_socketio==5.3.0
+    - flask_cors==3.0.10
+    - dependency_injector==4.40.0
+    - eventlet
     - kornia==0.6.0
     - -e git+https://github.com/openai/CLIP.git@main#egg=clip
     - -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers

frontend/.eslintrc.cjs

@@ -0,0 +1,6 @@
+module.exports = {
+  extends: ['eslint:recommended', 'plugin:@typescript-eslint/recommended', 'plugin:react-hooks/recommended'],
+  parser: '@typescript-eslint/parser',
+  plugins: ['@typescript-eslint', 'eslint-plugin-react-hooks'],
+  root: true,
+};

frontend/.gitignore

@@ -0,0 +1,25 @@
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+pnpm-debug.log*
+lerna-debug.log*
+
+node_modules
+# We want to distribute the repo
+# dist
+dist-ssr
+*.local
+
+# Editor directories and files
+.vscode/*
+!.vscode/extensions.json
+.idea
+.DS_Store
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+*.sw?

frontend/README.md

@@ -0,0 +1,85 @@
+# Stable Diffusion Web UI
+
+Demo at https://peaceful-otter-7a427f.netlify.app/ (not connected to back end)
+
+much of this readme is just notes for myself during dev work
+
+numpy rand: 0 to 4294967295
+
+## Test and Build
+
+from `frontend/`:
+
+-   `yarn dev` runs `tsc-watch`, which runs `vite build` on successful `tsc` transpilation
+
+from `.`:
+
+-   `python backend/server.py` serves both frontend and backend at http://localhost:9090
+
+## API
+
+`backend/server.py` serves the UI and provides a [socket.io](https://github.com/socketio/socket.io) API via [flask-socketio](https://github.com/miguelgrinberg/flask-socketio).
+
+### Server Listeners
+
+The server listens for these socket.io events:
+
+`cancel`
+
+-   Cancels in-progress image generation
+-   Returns ack only
+
+`generateImage`
+
+-   Accepts object of image parameters
+-   Generates an image
+-   Returns ack only (image generation function sends progress and result via separate events)
+
+`deleteImage`
+
+-   Accepts file path to image
+-   Deletes image
+-   Returns ack only
+
+`deleteAllImages` WIP
+
+-   Deletes all images in `outputs/`
+-   Returns ack only
+
+`requestAllImages`
+
+-   Returns array of all images in `outputs/`
+
+`requestCapabilities` WIP
+
+-   Returns capabilities of server (torch device, GFPGAN and ESRGAN availability, ???)
+
+`sendImage` WIP
+
+-   Accepts a File and attributes
+-   Saves image
+-   Used to save init images which are not generated images
+
+### Server Emitters
+
+`progress`
+
+-   Emitted during each step in generation
+-   Sends a number from 0 to 1 representing percentage of steps completed
+
+`result` WIP
+
+-   Emitted when an image generation has completed
+-   Sends a object:
+
+```
+{
+    url: relative_file_path,
+    metadata: image_metadata_object
+}
+```
+
+## TODO
+
+-   Search repo for "TODO"
+-   My one gripe with Chakra: no way to disable all animations right now and drop the dependence on `framer-motion`. I would prefer to save the ~30kb on bundle and have zero animations. This is on the Chakra roadmap. See https://github.com/chakra-ui/chakra-ui/pull/6368 for last discussion on this. Need to check in on this issue periodically.

frontend/dist/assets/index.447eb2a9.css

@@ -0,0 +1 @@
+.checkerboard{background-position:0px 0px,10px 10px;background-size:20px 20px;background-image:linear-gradient(45deg,#eee 25%,transparent 25%,transparent 75%,#eee 75%,#eee 100%),linear-gradient(45deg,#eee 25%,white 25%,white 75%,#eee 75%,#eee 100%)}

frontend/dist/index.html

@@ -0,0 +1,14 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Stable Diffusion Dream Server</title>
+    <script type="module" crossorigin src="/assets/index.cc5cde43.js"></script>
+    <link rel="stylesheet" href="/assets/index.447eb2a9.css">
+  </head>
+  <body>
+    <div id="root"></div>
+    
+  </body>
+</html>

frontend/index.d.ts

@@ -0,0 +1 @@
+declare module 'redux-socket.io-middleware';

frontend/index.html

@@ -0,0 +1,12 @@
+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Stable Diffusion Dream Server</title>
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>

frontend/package.json

@@ -0,0 +1,46 @@
+{
+  "name": "sdui",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "tsc-watch --onSuccess 'yarn run vite build -m development'",
+    "hmr": "vite dev",
+    "build": "tsc && vite build",
+    "build-dev": "tsc && vite build -m development",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "@chakra-ui/react": "^2.3.1",
+    "@emotion/react": "^11.10.4",
+    "@emotion/styled": "^11.10.4",
+    "@reduxjs/toolkit": "^1.8.5",
+    "@types/uuid": "^8.3.4",
+    "dateformat": "^5.0.3",
+    "framer-motion": "^7.2.1",
+    "lodash": "^4.17.21",
+    "react": "^18.2.0",
+    "react-dom": "^18.2.0",
+    "react-dropzone": "^14.2.2",
+    "react-icons": "^4.4.0",
+    "react-redux": "^8.0.2",
+    "redux-persist": "^6.0.0",
+    "socket.io-client": "^4.5.2",
+    "uuid": "^9.0.0"
+  },
+  "devDependencies": {
+    "@types/dateformat": "^5.0.0",
+    "@types/react": "^18.0.17",
+    "@types/react-dom": "^18.0.6",
+    "@typescript-eslint/eslint-plugin": "^5.36.2",
+    "@typescript-eslint/parser": "^5.36.2",
+    "@vitejs/plugin-react": "^2.0.1",
+    "eslint": "^8.23.0",
+    "eslint-plugin-prettier": "^4.2.1",
+    "eslint-plugin-react-hooks": "^4.6.0",
+    "tsc-watch": "^5.0.3",
+    "typescript": "^4.6.4",
+    "vite": "^3.0.7",
+    "vite-plugin-eslint": "^1.8.1"
+  }
+}

frontend/src/App.tsx

@@ -0,0 +1,60 @@
+import { Grid, GridItem } from '@chakra-ui/react';
+import CurrentImage from './features/gallery/CurrentImage';
+import LogViewer from './features/system/LogViewer';
+import PromptInput from './features/sd/PromptInput';
+import ProgressBar from './features/header/ProgressBar';
+import { useEffect } from 'react';
+import { useAppDispatch } from './app/hooks';
+import { requestAllImages } from './app/socketio';
+import ProcessButtons from './features/sd/ProcessButtons';
+import ImageRoll from './features/gallery/ImageRoll';
+import SiteHeader from './features/header/SiteHeader';
+import OptionsAccordion from './features/sd/OptionsAccordion';
+
+const App = () => {
+    const dispatch = useAppDispatch();
+    useEffect(() => {
+        dispatch(requestAllImages());
+    }, [dispatch]);
+    return (
+        <>
+            <Grid
+                width='100vw'
+                height='100vh'
+                templateAreas={`
+                    "header header header header"
+                    "progressBar progressBar progressBar progressBar"
+                    "menu prompt processButtons imageRoll"
+                    "menu currentImage currentImage imageRoll"`}
+                gridTemplateRows={'36px 10px 100px auto'}
+                gridTemplateColumns={'350px auto 100px 388px'}
+                gap={2}
+            >
+                <GridItem area={'header'} pt={1}>
+                    <SiteHeader />
+                </GridItem>
+                <GridItem area={'progressBar'}>
+                    <ProgressBar />
+                </GridItem>
+                <GridItem pl='2' area={'menu'} overflowY='scroll'>
+                    <OptionsAccordion />
+                </GridItem>
+                <GridItem area={'prompt'}>
+                    <PromptInput />
+                </GridItem>
+                <GridItem area={'processButtons'}>
+                    <ProcessButtons />
+                </GridItem>
+                <GridItem area={'currentImage'}>
+                    <CurrentImage />
+                </GridItem>
+                <GridItem pr='2' area={'imageRoll'} overflowY='scroll'>
+                    <ImageRoll />
+                </GridItem>
+            </Grid>
+            <LogViewer />
+        </>
+    );
+};
+
+export default App;

frontend/src/Loading.tsx

@@ -0,0 +1,22 @@
+import { Flex, Spinner } from '@chakra-ui/react';
+
+const Loading = () => {
+    return (
+        <Flex
+            width={'100vw'}
+            height={'100vh'}
+            alignItems='center'
+            justifyContent='center'
+        >
+            <Spinner
+                thickness='2px'
+                speed='1s'
+                emptyColor='gray.200'
+                color='gray.400'
+                size='xl'
+            />
+        </Flex>
+    );
+};
+
+export default Loading;

frontend/src/app/constants.ts

@@ -0,0 +1,55 @@
+// TODO: use Enums?
+
+// Valid samplers
+export const SAMPLERS: Array<string> = [
+    'ddim',
+    'plms',
+    'k_lms',
+    'k_dpm_2',
+    'k_dpm_2_a',
+    'k_euler',
+    'k_euler_a',
+    'k_heun',
+];
+
+// Valid image widths
+export const WIDTHS: Array<number> = [
+    64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
+    1024,
+];
+
+// Valid image heights
+export const HEIGHTS: Array<number> = [
+    64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960,
+    1024,
+];
+
+// Valid upscaling levels
+export const UPSCALING_LEVELS: Array<{ key: string; value: number }> = [
+    { key: '2x', value: 2 },
+    { key: '4x', value: 4 },
+];
+
+// Internal to human-readable parameters
+export const PARAMETERS: { [key: string]: string } = {
+    prompt: 'Prompt',
+    iterations: 'Iterations',
+    steps: 'Steps',
+    cfgScale: 'CFG Scale',
+    height: 'Height',
+    width: 'Width',
+    sampler: 'Sampler',
+    seed: 'Seed',
+    img2imgStrength: 'img2img Strength',
+    gfpganStrength: 'GFPGAN Strength',
+    upscalingLevel: 'Upscaling Level',
+    upscalingStrength: 'Upscaling Strength',
+    initialImagePath: 'Initial Image',
+    maskPath: 'Initial Image Mask',
+    shouldFitToWidthHeight: 'Fit Initial Image',
+    seamless: 'Seamless Tiling',
+};
+
+export const NUMPY_RAND_MIN = 0;
+
+export const NUMPY_RAND_MAX = 4294967295;

frontend/src/app/hooks.ts

@@ -0,0 +1,7 @@
+import { useDispatch, useSelector } from 'react-redux';
+import type { TypedUseSelectorHook } from 'react-redux';
+import type { RootState, AppDispatch } from './store';
+
+// Use throughout your app instead of plain `useDispatch` and `useSelector`
+export const useAppDispatch: () => AppDispatch = useDispatch;
+export const useAppSelector: TypedUseSelectorHook<RootState> = useSelector;

frontend/src/app/parameterTranslation.ts

@@ -0,0 +1,182 @@
+import { SDState } from '../features/sd/sdSlice';
+import randomInt from '../features/sd/util/randomInt';
+import {
+    seedWeightsToString,
+    stringToSeedWeights,
+} from '../features/sd/util/seedWeightPairs';
+import { SystemState } from '../features/system/systemSlice';
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from './constants';
+
+/*
+    These functions translate frontend state into parameters
+    suitable for consumption by the backend, and vice-versa.
+*/
+
+export const frontendToBackendParameters = (
+    sdState: SDState,
+    systemState: SystemState
+): { [key: string]: any } => {
+    const {
+        prompt,
+        iterations,
+        steps,
+        cfgScale,
+        height,
+        width,
+        sampler,
+        seed,
+        seamless,
+        shouldUseInitImage,
+        img2imgStrength,
+        initialImagePath,
+        maskPath,
+        shouldFitToWidthHeight,
+        shouldGenerateVariations,
+        variantAmount,
+        seedWeights,
+        shouldRunESRGAN,
+        upscalingLevel,
+        upscalingStrength,
+        shouldRunGFPGAN,
+        gfpganStrength,
+        shouldRandomizeSeed,
+    } = sdState;
+
+    const { shouldDisplayInProgress } = systemState;
+
+    const generationParameters: { [k: string]: any } = {
+        prompt,
+        iterations,
+        steps,
+        cfg_scale: cfgScale,
+        height,
+        width,
+        sampler_name: sampler,
+        seed,
+        seamless,
+        progress_images: shouldDisplayInProgress,
+    };
+
+    generationParameters.seed = shouldRandomizeSeed
+        ? randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX)
+        : seed;
+
+    if (shouldUseInitImage) {
+        generationParameters.init_img = initialImagePath;
+        generationParameters.strength = img2imgStrength;
+        generationParameters.fit = shouldFitToWidthHeight;
+        if (maskPath) {
+            generationParameters.init_mask = maskPath;
+        }
+    }
+
+    if (shouldGenerateVariations) {
+        generationParameters.variation_amount = variantAmount;
+        if (seedWeights) {
+            generationParameters.with_variations =
+                stringToSeedWeights(seedWeights);
+        }
+    } else {
+        generationParameters.variation_amount = 0;
+    }
+
+    let esrganParameters: false | { [k: string]: any } = false;
+    let gfpganParameters: false | { [k: string]: any } = false;
+
+    if (shouldRunESRGAN) {
+        esrganParameters = {
+            level: upscalingLevel,
+            strength: upscalingStrength,
+        };
+    }
+
+    if (shouldRunGFPGAN) {
+        gfpganParameters = {
+            strength: gfpganStrength,
+        };
+    }
+
+    return {
+        generationParameters,
+        esrganParameters,
+        gfpganParameters,
+    };
+};
+
+export const backendToFrontendParameters = (parameters: {
+    [key: string]: any;
+}) => {
+    const {
+        prompt,
+        iterations,
+        steps,
+        cfg_scale,
+        height,
+        width,
+        sampler_name,
+        seed,
+        seamless,
+        progress_images,
+        variation_amount,
+        with_variations,
+        gfpgan_strength,
+        upscale,
+        init_img,
+        init_mask,
+        strength,
+    } = parameters;
+
+    const sd: { [key: string]: any } = {
+        shouldDisplayInProgress: progress_images,
+        // init
+        shouldGenerateVariations: false,
+        shouldRunESRGAN: false,
+        shouldRunGFPGAN: false,
+        initialImagePath: '',
+        maskPath: '',
+    };
+
+    if (variation_amount > 0) {
+        sd.shouldGenerateVariations = true;
+        sd.variantAmount = variation_amount;
+        if (with_variations) {
+            sd.seedWeights = seedWeightsToString(with_variations);
+        }
+    }
+
+    if (gfpgan_strength > 0) {
+        sd.shouldRunGFPGAN = true;
+        sd.gfpganStrength = gfpgan_strength;
+    }
+
+    if (upscale) {
+        sd.shouldRunESRGAN = true;
+        sd.upscalingLevel = upscale[0];
+        sd.upscalingStrength = upscale[1];
+    }
+
+    if (init_img) {
+        sd.shouldUseInitImage = true
+        sd.initialImagePath = init_img;
+        sd.strength = strength;
+        if (init_mask) {
+            sd.maskPath = init_mask;
+        }
+    }
+
+    // if we had a prompt, add all the metadata, but if we don't have a prompt,
+    // we must have only done ESRGAN or GFPGAN so do not add that metadata
+    if (prompt) {
+        sd.prompt = prompt;
+        sd.iterations = iterations;
+        sd.steps = steps;
+        sd.cfgScale = cfg_scale;
+        sd.height = height;
+        sd.width = width;
+        sd.sampler = sampler_name;
+        sd.seed = seed;
+        sd.seamless = seamless;
+    }
+
+    return sd;
+};

frontend/src/app/socketio.ts

@@ -0,0 +1,393 @@
+import { createAction, Middleware } from '@reduxjs/toolkit';
+import { io } from 'socket.io-client';
+import {
+    addImage,
+    clearIntermediateImage,
+    removeImage,
+    SDImage,
+    SDMetadata,
+    setGalleryImages,
+    setIntermediateImage,
+} from '../features/gallery/gallerySlice';
+import {
+    addLogEntry,
+    setCurrentStep,
+    setIsConnected,
+    setIsProcessing,
+} from '../features/system/systemSlice';
+import { v4 as uuidv4 } from 'uuid';
+import { setInitialImagePath, setMaskPath } from '../features/sd/sdSlice';
+import {
+    backendToFrontendParameters,
+    frontendToBackendParameters,
+} from './parameterTranslation';
+
+export interface SocketIOResponse {
+    status: 'OK' | 'ERROR';
+    message?: string;
+    data?: any;
+}
+
+export const socketioMiddleware = () => {
+    const { hostname, port } = new URL(window.location.href);
+
+    const socketio = io(`http://${hostname}:9090`);
+
+    let areListenersSet = false;
+
+    const middleware: Middleware = (store) => (next) => (action) => {
+        const { dispatch, getState } = store;
+        if (!areListenersSet) {
+            // CONNECT
+            socketio.on('connect', () => {
+                try {
+                    dispatch(setIsConnected(true));
+                } catch (e) {
+                    console.error(e);
+                }
+            });
+
+            // DISCONNECT
+            socketio.on('disconnect', () => {
+                try {
+                    dispatch(setIsConnected(false));
+                    dispatch(setIsProcessing(false));
+                    dispatch(addLogEntry(`Disconnected from server`));
+                } catch (e) {
+                    console.error(e);
+                }
+            });
+
+            // PROCESSING RESULT
+            socketio.on(
+                'result',
+                (data: {
+                    url: string;
+                    type: 'generation' | 'esrgan' | 'gfpgan';
+                    uuid?: string;
+                    metadata: { [key: string]: any };
+                }) => {
+                    try {
+                        const newUuid = uuidv4();
+                        const { type, url, uuid, metadata } = data;
+                        switch (type) {
+                            case 'generation': {
+                                const translatedMetadata =
+                                    backendToFrontendParameters(metadata);
+                                dispatch(
+                                    addImage({
+                                        uuid: newUuid,
+                                        url,
+                                        metadata: translatedMetadata,
+                                    })
+                                );
+                                dispatch(
+                                    addLogEntry(`Image generated: ${url}`)
+                                );
+
+                                break;
+                            }
+                            case 'esrgan': {
+                                const originalImage =
+                                    getState().gallery.images.find(
+                                        (i: SDImage) => i.uuid === uuid
+                                    );
+                                const newMetadata = {
+                                    ...originalImage.metadata,
+                                };
+                                newMetadata.shouldRunESRGAN = true;
+                                newMetadata.upscalingLevel =
+                                    metadata.upscale[0];
+                                newMetadata.upscalingStrength =
+                                    metadata.upscale[1];
+                                dispatch(
+                                    addImage({
+                                        uuid: newUuid,
+                                        url,
+                                        metadata: newMetadata,
+                                    })
+                                );
+                                dispatch(
+                                    addLogEntry(`ESRGAN upscaled: ${url}`)
+                                );
+
+                                break;
+                            }
+                            case 'gfpgan': {
+                                const originalImage =
+                                    getState().gallery.images.find(
+                                        (i: SDImage) => i.uuid === uuid
+                                    );
+                                const newMetadata = {
+                                    ...originalImage.metadata,
+                                };
+                                newMetadata.shouldRunGFPGAN = true;
+                                newMetadata.gfpganStrength =
+                                    metadata.gfpgan_strength;
+                                dispatch(
+                                    addImage({
+                                        uuid: newUuid,
+                                        url,
+                                        metadata: newMetadata,
+                                    })
+                                );
+                                dispatch(
+                                    addLogEntry(`GFPGAN fixed faces: ${url}`)
+                                );
+
+                                break;
+                            }
+                        }
+                        dispatch(setIsProcessing(false));
+                    } catch (e) {
+                        console.error(e);
+                    }
+                }
+            );
+
+            // PROGRESS UPDATE
+            socketio.on('progress', (data: { step: number }) => {
+                try {
+                    dispatch(setIsProcessing(true));
+                    dispatch(setCurrentStep(data.step));
+                } catch (e) {
+                    console.error(e);
+                }
+            });
+
+            // INTERMEDIATE IMAGE
+            socketio.on(
+                'intermediateResult',
+                (data: { url: string; metadata: SDMetadata }) => {
+                    try {
+                        const uuid = uuidv4();
+                        const { url, metadata } = data;
+                        dispatch(
+                            setIntermediateImage({
+                                uuid,
+                                url,
+                                metadata,
+                            })
+                        );
+                        dispatch(
+                            addLogEntry(`Intermediate image generated: ${url}`)
+                        );
+                    } catch (e) {
+                        console.error(e);
+                    }
+                }
+            );
+
+            // ERROR FROM BACKEND
+            socketio.on('error', (message) => {
+                try {
+                    dispatch(addLogEntry(`Server error: ${message}`));
+                    dispatch(setIsProcessing(false));
+                    dispatch(clearIntermediateImage());
+                } catch (e) {
+                    console.error(e);
+                }
+            });
+
+            areListenersSet = true;
+        }
+
+        // HANDLE ACTIONS
+
+        switch (action.type) {
+            // GENERATE IMAGE
+            case 'socketio/generateImage': {
+                dispatch(setIsProcessing(true));
+                dispatch(setCurrentStep(-1));
+
+                const {
+                    generationParameters,
+                    esrganParameters,
+                    gfpganParameters,
+                } = frontendToBackendParameters(
+                    getState().sd,
+                    getState().system
+                );
+
+                socketio.emit(
+                    'generateImage',
+                    generationParameters,
+                    esrganParameters,
+                    gfpganParameters
+                );
+
+                dispatch(
+                    addLogEntry(
+                        `Image generation requested: ${JSON.stringify({
+                            ...generationParameters,
+                            ...esrganParameters,
+                            ...gfpganParameters,
+                        })}`
+                    )
+                );
+                break;
+            }
+
+            // RUN ESRGAN (UPSCALING)
+            case 'socketio/runESRGAN': {
+                const imageToProcess = action.payload;
+                dispatch(setIsProcessing(true));
+                dispatch(setCurrentStep(-1));
+                const { upscalingLevel, upscalingStrength } = getState().sd;
+                const esrganParameters = {
+                    upscale: [upscalingLevel, upscalingStrength],
+                };
+                socketio.emit('runESRGAN', imageToProcess, esrganParameters);
+                dispatch(
+                    addLogEntry(
+                        `ESRGAN upscale requested: ${JSON.stringify({
+                            file: imageToProcess.url,
+                            ...esrganParameters,
+                        })}`
+                    )
+                );
+                break;
+            }
+
+            // RUN GFPGAN (FIX FACES)
+            case 'socketio/runGFPGAN': {
+                const imageToProcess = action.payload;
+                dispatch(setIsProcessing(true));
+                dispatch(setCurrentStep(-1));
+                const { gfpganStrength } = getState().sd;
+
+                const gfpganParameters = {
+                    gfpgan_strength: gfpganStrength,
+                };
+                socketio.emit('runGFPGAN', imageToProcess, gfpganParameters);
+                dispatch(
+                    addLogEntry(
+                        `GFPGAN fix faces requested: ${JSON.stringify({
+                            file: imageToProcess.url,
+                            ...gfpganParameters,
+                        })}`
+                    )
+                );
+                break;
+            }
+
+            // DELETE IMAGE
+            case 'socketio/deleteImage': {
+                const imageToDelete = action.payload;
+                const { url } = imageToDelete;
+                socketio.emit(
+                    'deleteImage',
+                    url,
+                    (response: SocketIOResponse) => {
+                        if (response.status === 'OK') {
+                            dispatch(removeImage(imageToDelete));
+                            dispatch(addLogEntry(`Image deleted: ${url}`));
+                        }
+                    }
+                );
+                break;
+            }
+
+            // GET ALL IMAGES FOR GALLERY
+            case 'socketio/requestAllImages': {
+                socketio.emit(
+                    'requestAllImages',
+                    (response: SocketIOResponse) => {
+                        dispatch(setGalleryImages(response.data));
+                        dispatch(
+                            addLogEntry(`Loaded ${response.data.length} images`)
+                        );
+                    }
+                );
+                break;
+            }
+
+            // CANCEL PROCESSING
+            case 'socketio/cancelProcessing': {
+                socketio.emit('cancel', (response: SocketIOResponse) => {
+                    const { intermediateImage } = getState().gallery;
+                    if (response.status === 'OK') {
+                        dispatch(setIsProcessing(false));
+                        if (intermediateImage) {
+                            dispatch(addImage(intermediateImage));
+                            dispatch(
+                                addLogEntry(
+                                    `Intermediate image saved: ${intermediateImage.url}`
+                                )
+                            );
+
+                            dispatch(clearIntermediateImage());
+                        }
+                        dispatch(addLogEntry(`Processing canceled`));
+                    }
+                });
+                break;
+            }
+
+            // UPLOAD INITIAL IMAGE
+            case 'socketio/uploadInitialImage': {
+                const file = action.payload;
+
+                socketio.emit(
+                    'uploadInitialImage',
+                    file,
+                    file.name,
+                    (response: SocketIOResponse) => {
+                        if (response.status === 'OK') {
+                            dispatch(setInitialImagePath(response.data));
+                            dispatch(
+                                addLogEntry(
+                                    `Initial image uploaded: ${response.data}`
+                                )
+                            );
+                        }
+                    }
+                );
+                break;
+            }
+
+            // UPLOAD MASK IMAGE
+            case 'socketio/uploadMaskImage': {
+                const file = action.payload;
+
+                socketio.emit(
+                    'uploadMaskImage',
+                    file,
+                    file.name,
+                    (response: SocketIOResponse) => {
+                        if (response.status === 'OK') {
+                            dispatch(setMaskPath(response.data));
+                            dispatch(
+                                addLogEntry(
+                                    `Mask image uploaded: ${response.data}`
+                                )
+                            );
+                        }
+                    }
+                );
+                break;
+            }
+        }
+
+        next(action);
+    };
+
+    return middleware;
+};
+
+// Actions to be used by app
+
+export const generateImage = createAction<undefined>('socketio/generateImage');
+export const runESRGAN = createAction<SDImage>('socketio/runESRGAN');
+export const runGFPGAN = createAction<SDImage>('socketio/runGFPGAN');
+export const deleteImage = createAction<SDImage>('socketio/deleteImage');
+export const requestAllImages = createAction<undefined>(
+    'socketio/requestAllImages'
+);
+export const cancelProcessing = createAction<undefined>(
+    'socketio/cancelProcessing'
+);
+export const uploadInitialImage = createAction<File>(
+    'socketio/uploadInitialImage'
+);
+export const uploadMaskImage = createAction<File>('socketio/uploadMaskImage');

frontend/src/app/store.ts

@@ -0,0 +1,53 @@
+import { combineReducers, configureStore } from '@reduxjs/toolkit';
+import { persistReducer } from 'redux-persist';
+import storage from 'redux-persist/lib/storage'; // defaults to localStorage for web
+
+import sdReducer from '../features/sd/sdSlice';
+import galleryReducer from '../features/gallery/gallerySlice';
+import systemReducer from '../features/system/systemSlice';
+import { socketioMiddleware } from './socketio';
+
+const reducers = combineReducers({
+  sd: sdReducer,
+  gallery: galleryReducer,
+  system: systemReducer,
+});
+
+const persistConfig = {
+  key: 'root',
+  storage,
+};
+
+const persistedReducer = persistReducer(persistConfig, reducers);
+
+/*
+  The frontend needs to be distributed as a production build, so
+  we cannot reasonably ask users to edit the JS and specify the
+  host and port on which the socket.io server will run.
+
+  The solution is to allow server script to be run with arguments
+  (or just edited) providing the host and port. Then, the server
+  serves a route `/socketio_config` which responds with the host
+  and port.
+
+  When the frontend loads, it synchronously requests that route
+  and thus gets the host and port. This requires a suspicious
+  fetch somewhere, and the store setup seems like as good a place
+  as any to make this fetch request.
+*/
+
+
+// Continue with store setup
+export const store = configureStore({
+  reducer: persistedReducer,
+  middleware: (getDefaultMiddleware) =>
+    getDefaultMiddleware({
+      // redux-persist sometimes needs to have a function in redux, need to disable this check
+      serializableCheck: false,
+    }).concat(socketioMiddleware()),
+});
+
+// Infer the `RootState` and `AppDispatch` types from the store itself
+export type RootState = ReturnType<typeof store.getState>;
+// Inferred type: {posts: PostsState, comments: CommentsState, users: UsersState}
+export type AppDispatch = typeof store.dispatch;

frontend/src/app/theme.ts

@@ -0,0 +1,37 @@
+import { extendTheme } from '@chakra-ui/react';
+import type { StyleFunctionProps } from '@chakra-ui/styled-system';
+
+export const theme = extendTheme({
+  config: {
+    initialColorMode: 'dark',
+    useSystemColorMode: false,
+  },
+  components: {
+    Tooltip: {
+      baseStyle: (props: StyleFunctionProps) => ({
+        textColor: props.colorMode === 'dark' ? 'gray.800' : 'gray.100',
+      }),
+    },
+    Accordion: {
+      baseStyle: (props: StyleFunctionProps) => ({
+        button: {
+          fontWeight: 'bold',
+          _hover: {
+            bgColor:
+              props.colorMode === 'dark'
+                ? 'rgba(255,255,255,0.05)'
+                : 'rgba(0,0,0,0.05)',
+          },
+        },
+        panel: {
+          paddingBottom: 2,
+        },
+      }),
+    },
+    FormLabel: {
+      baseStyle: {
+        fontWeight: 'light',
+      },
+    },
+  },
+});

frontend/src/components/SDButton.tsx

@@ -0,0 +1,16 @@
+import { Button, ButtonProps } from '@chakra-ui/react';
+
+interface Props extends ButtonProps {
+    label: string;
+}
+
+const SDButton = (props: Props) => {
+    const { label, size = 'sm', ...rest } = props;
+    return (
+        <Button size={size} {...rest}>
+            {label}
+        </Button>
+    );
+};
+
+export default SDButton;

frontend/src/components/SDNumberInput.tsx

@@ -0,0 +1,56 @@
+import {
+  FormControl,
+  NumberInput,
+  NumberInputField,
+  NumberInputStepper,
+  NumberIncrementStepper,
+  NumberDecrementStepper,
+  Text,
+  FormLabel,
+  NumberInputProps,
+  Flex,
+} from '@chakra-ui/react';
+
+interface Props extends NumberInputProps {
+  label?: string;
+  width?: string | number;
+}
+
+const SDNumberInput = (props: Props) => {
+  const {
+    label,
+    isDisabled = false,
+    fontSize = 'md',
+    size = 'sm',
+    width,
+    isInvalid,
+    ...rest
+  } = props;
+  return (
+    <FormControl isDisabled={isDisabled} width={width} isInvalid={isInvalid}>
+      <Flex gap={2} justifyContent={'space-between'} alignItems={'center'}>
+        {label && (
+          <FormLabel marginBottom={1}>
+            <Text fontSize={fontSize} whiteSpace='nowrap'>
+              {label}
+            </Text>
+          </FormLabel>
+        )}
+        <NumberInput
+          size={size}
+          {...rest}
+          keepWithinRange={false}
+          clampValueOnBlur={true}
+        >
+          <NumberInputField fontSize={'md'}/>
+          <NumberInputStepper>
+            <NumberIncrementStepper />
+            <NumberDecrementStepper />
+          </NumberInputStepper>
+        </NumberInput>
+      </Flex>
+    </FormControl>
+  );
+};
+
+export default SDNumberInput;

frontend/src/components/SDSelect.tsx

@@ -0,0 +1,57 @@
+import {
+    Flex,
+    FormControl,
+    FormLabel,
+    Select,
+    SelectProps,
+    Text,
+} from '@chakra-ui/react';
+
+interface Props extends SelectProps {
+    label: string;
+    validValues:
+        | Array<number | string>
+        | Array<{ key: string; value: string | number }>;
+}
+
+const SDSelect = (props: Props) => {
+    const {
+        label,
+        isDisabled,
+        validValues,
+        size = 'sm',
+        fontSize = 'md',
+        marginBottom = 1,
+        whiteSpace = 'nowrap',
+        ...rest
+    } = props;
+    return (
+        <FormControl isDisabled={isDisabled}>
+            <Flex justifyContent={'space-between'} alignItems={'center'}>
+                <FormLabel
+                    marginBottom={marginBottom}
+                >
+                    <Text fontSize={fontSize} whiteSpace={whiteSpace}>
+                        {label}
+                    </Text>
+                </FormLabel>
+                <Select fontSize={fontSize} size={size} {...rest}>
+                    {validValues.map((opt) => {
+                        return typeof opt === 'string' ||
+                            typeof opt === 'number' ? (
+                            <option key={opt} value={opt}>
+                                {opt}
+                            </option>
+                        ) : (
+                            <option key={opt.value} value={opt.value}>
+                                {opt.key}
+                            </option>
+                        );
+                    })}
+                </Select>
+            </Flex>
+        </FormControl>
+    );
+};
+
+export default SDSelect;

frontend/src/components/SDSwitch.tsx

@@ -0,0 +1,42 @@
+import {
+  Flex,
+  FormControl,
+  FormLabel,
+  Switch,
+  SwitchProps,
+} from '@chakra-ui/react';
+
+interface Props extends SwitchProps {
+  label?: string;
+  width?: string | number;
+}
+
+const SDSwitch = (props: Props) => {
+  const {
+    label,
+    isDisabled = false,
+    fontSize = 'md',
+    size = 'md',
+    width,
+    ...rest
+  } = props;
+  return (
+    <FormControl isDisabled={isDisabled} width={width}>
+      <Flex justifyContent={'space-between'} alignItems={'center'}>
+        {label && (
+          <FormLabel
+            fontSize={fontSize}
+            marginBottom={1}
+            flexGrow={2}
+            whiteSpace='nowrap'
+          >
+            {label}
+          </FormLabel>
+        )}
+        <Switch size={size} {...rest} />
+      </Flex>
+    </FormControl>
+  );
+};
+
+export default SDSwitch;

frontend/src/features/gallery/CurrentImage.tsx

@@ -0,0 +1,161 @@
+import { Center, Flex, Image, useColorModeValue } from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { setAllParameters, setInitialImagePath, setSeed } from '../sd/sdSlice';
+import { useState } from 'react';
+import ImageMetadataViewer from './ImageMetadataViewer';
+import DeleteImageModalButton from './DeleteImageModalButton';
+import SDButton from '../../components/SDButton';
+import { runESRGAN, runGFPGAN } from '../../app/socketio';
+import { createSelector } from '@reduxjs/toolkit';
+import { SystemState } from '../system/systemSlice';
+import { isEqual } from 'lodash';
+
+const height = 'calc(100vh - 238px)';
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isProcessing: system.isProcessing,
+            isConnected: system.isConnected,
+            isGFPGANAvailable: system.isGFPGANAvailable,
+            isESRGANAvailable: system.isESRGANAvailable,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const CurrentImage = () => {
+    const { currentImage, intermediateImage } = useAppSelector(
+        (state: RootState) => state.gallery
+    );
+    const { isProcessing, isConnected, isGFPGANAvailable, isESRGANAvailable } =
+        useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    const bgColor = useColorModeValue(
+        'rgba(255, 255, 255, 0.85)',
+        'rgba(0, 0, 0, 0.8)'
+    );
+
+    const [shouldShowImageDetails, setShouldShowImageDetails] =
+        useState<boolean>(false);
+
+    const imageToDisplay = intermediateImage || currentImage;
+
+    return (
+        <Flex direction={'column'} rounded={'md'} borderWidth={1} p={2} gap={2}>
+            {imageToDisplay && (
+                <Flex gap={2}>
+                    <SDButton
+                        label='Use as initial image'
+                        colorScheme={'gray'}
+                        flexGrow={1}
+                        variant={'outline'}
+                        onClick={() =>
+                            dispatch(setInitialImagePath(imageToDisplay.url))
+                        }
+                    />
+
+                    <SDButton
+                        label='Use all'
+                        colorScheme={'gray'}
+                        flexGrow={1}
+                        variant={'outline'}
+                        onClick={() =>
+                            dispatch(setAllParameters(imageToDisplay.metadata))
+                        }
+                    />
+
+                    <SDButton
+                        label='Use seed'
+                        colorScheme={'gray'}
+                        flexGrow={1}
+                        variant={'outline'}
+                        isDisabled={!imageToDisplay.metadata.seed}
+                        onClick={() =>
+                            dispatch(setSeed(imageToDisplay.metadata.seed!))
+                        }
+                    />
+
+                    <SDButton
+                        label='Upscale'
+                        colorScheme={'gray'}
+                        flexGrow={1}
+                        variant={'outline'}
+                        isDisabled={
+                            !isESRGANAvailable ||
+                            Boolean(intermediateImage) ||
+                            !(isConnected && !isProcessing)
+                        }
+                        onClick={() => dispatch(runESRGAN(imageToDisplay))}
+                    />
+                    <SDButton
+                        label='Fix faces'
+                        colorScheme={'gray'}
+                        flexGrow={1}
+                        variant={'outline'}
+                        isDisabled={
+                            !isGFPGANAvailable ||
+                            Boolean(intermediateImage) ||
+                            !(isConnected && !isProcessing)
+                        }
+                        onClick={() => dispatch(runGFPGAN(imageToDisplay))}
+                    />
+                    <SDButton
+                        label='Details'
+                        colorScheme={'gray'}
+                        variant={shouldShowImageDetails ? 'solid' : 'outline'}
+                        borderWidth={1}
+                        flexGrow={1}
+                        onClick={() =>
+                            setShouldShowImageDetails(!shouldShowImageDetails)
+                        }
+                    />
+                    <DeleteImageModalButton image={imageToDisplay}>
+                        <SDButton
+                            label='Delete'
+                            colorScheme={'red'}
+                            flexGrow={1}
+                            variant={'outline'}
+                            isDisabled={Boolean(intermediateImage)}
+                        />
+                    </DeleteImageModalButton>
+                </Flex>
+            )}
+            <Center height={height} position={'relative'}>
+                {imageToDisplay && (
+                    <Image
+                        src={imageToDisplay.url}
+                        fit='contain'
+                        maxWidth={'100%'}
+                        maxHeight={'100%'}
+                    />
+                )}
+                {imageToDisplay && shouldShowImageDetails && (
+                    <Flex
+                        width={'100%'}
+                        height={'100%'}
+                        position={'absolute'}
+                        top={0}
+                        left={0}
+                        p={3}
+                        boxSizing='border-box'
+                        backgroundColor={bgColor}
+                        overflow='scroll'
+                    >
+                        <ImageMetadataViewer image={imageToDisplay} />
+                    </Flex>
+                )}
+            </Center>
+        </Flex>
+    );
+};
+
+export default CurrentImage;

frontend/src/features/gallery/DeleteImageModalButton.tsx

@@ -0,0 +1,94 @@
+import {
+  IconButtonProps,
+  Modal,
+  ModalBody,
+  ModalCloseButton,
+  ModalContent,
+  ModalFooter,
+  ModalHeader,
+  ModalOverlay,
+  Text,
+  useDisclosure,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import {
+  cloneElement,
+  ReactElement,
+  SyntheticEvent,
+} from 'react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { deleteImage } from '../../app/socketio';
+import { RootState } from '../../app/store';
+import SDButton from '../../components/SDButton';
+import { setShouldConfirmOnDelete, SystemState } from '../system/systemSlice';
+import { SDImage } from './gallerySlice';
+
+interface Props extends IconButtonProps {
+  image: SDImage;
+  'aria-label': string;
+  children: ReactElement;
+}
+
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => system.shouldConfirmOnDelete
+);
+
+/*
+TODO: The modal and button to open it should be two different components,
+but their state is closely related and I'm not sure how best to accomplish it.
+*/
+const DeleteImageModalButton = (props: Omit<Props, 'aria-label'>) => {
+  const { isOpen, onOpen, onClose } = useDisclosure();
+  const dispatch = useAppDispatch();
+  const shouldConfirmOnDelete = useAppSelector(systemSelector);
+
+  const handleClickDelete = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    shouldConfirmOnDelete ? onOpen() : handleDelete();
+  };
+
+  const { image, children } = props;
+
+  const handleDelete = () => {
+    dispatch(deleteImage(image));
+    onClose();
+  };
+
+  const handleDeleteAndDontAsk = () => {
+    dispatch(deleteImage(image));
+    dispatch(setShouldConfirmOnDelete(false));
+    onClose();
+  };
+
+  return (
+    <>
+      {cloneElement(children, {
+        onClick: handleClickDelete,
+      })}
+
+      <Modal isOpen={isOpen} onClose={onClose}>
+        <ModalOverlay />
+        <ModalContent>
+          <ModalHeader>Are you sure you want to delete this image?</ModalHeader>
+          <ModalCloseButton />
+          <ModalBody>
+            <Text>It will be deleted forever!</Text>
+          </ModalBody>
+
+          <ModalFooter justifyContent={'space-between'}>
+            <SDButton label={'Yes'} colorScheme='red' onClick={handleDelete} />
+            <SDButton
+              label={"Yes, and don't ask me again"}
+              colorScheme='red'
+              onClick={handleDeleteAndDontAsk}
+            />
+            <SDButton label='Cancel' colorScheme='blue' onClick={onClose} />
+          </ModalFooter>
+        </ModalContent>
+      </Modal>
+    </>
+  );
+};
+
+export default DeleteImageModalButton;

frontend/src/features/gallery/ImageMetadataViewer.tsx

@@ -0,0 +1,124 @@
+import {
+    Center,
+    Flex,
+    IconButton,
+    Link,
+    List,
+    ListItem,
+    Text,
+} from '@chakra-ui/react';
+import { FaPlus } from 'react-icons/fa';
+import { PARAMETERS } from '../../app/constants';
+import { useAppDispatch } from '../../app/hooks';
+import SDButton from '../../components/SDButton';
+import { setAllParameters, setParameter } from '../sd/sdSlice';
+import { SDImage, SDMetadata } from './gallerySlice';
+
+type Props = {
+    image: SDImage;
+};
+
+const ImageMetadataViewer = ({ image }: Props) => {
+    const dispatch = useAppDispatch();
+
+    const keys = Object.keys(PARAMETERS);
+
+    const metadata: Array<{
+        label: string;
+        key: string;
+        value: string | number | boolean;
+    }> = [];
+
+    keys.forEach((key) => {
+        const value = image.metadata[key as keyof SDMetadata];
+        if (value !== undefined) {
+            metadata.push({ label: PARAMETERS[key], key, value });
+        }
+    });
+
+    return (
+        <Flex gap={2} direction={'column'} overflowY={'scroll'} width={'100%'}>
+            <SDButton
+                label='Use all parameters'
+                colorScheme={'gray'}
+                padding={2}
+                isDisabled={metadata.length === 0}
+                onClick={() => dispatch(setAllParameters(image.metadata))}
+            />
+            <Flex gap={2}>
+                <Text fontWeight={'semibold'}>File:</Text>
+                <Link href={image.url} isExternal>
+                    <Text>{image.url}</Text>
+                </Link>
+            </Flex>
+            {metadata.length ? (
+                <>
+                    <List>
+                        {metadata.map((parameter, i) => {
+                            const { label, key, value } = parameter;
+                            return (
+                                <ListItem key={i} pb={1}>
+                                    <Flex gap={2}>
+                                        <IconButton
+                                            aria-label='Use this parameter'
+                                            icon={<FaPlus />}
+                                            size={'xs'}
+                                            onClick={() =>
+                                                dispatch(
+                                                    setParameter({
+                                                        key,
+                                                        value,
+                                                    })
+                                                )
+                                            }
+                                        />
+                                        <Text fontWeight={'semibold'}>
+                                            {label}:
+                                        </Text>
+
+                                        {value === undefined ||
+                                        value === null ||
+                                        value === '' ||
+                                        value === 0 ? (
+                                            <Text
+                                                maxHeight={100}
+                                                fontStyle={'italic'}
+                                            >
+                                                None
+                                            </Text>
+                                        ) : (
+                                            <Text
+                                                maxHeight={100}
+                                                overflowY={'scroll'}
+                                            >
+                                                {value.toString()}
+                                            </Text>
+                                        )}
+                                    </Flex>
+                                </ListItem>
+                            );
+                        })}
+                    </List>
+                    <Flex gap={2}>
+                        <Text fontWeight={'semibold'}>Raw:</Text>
+                        <Text
+                            maxHeight={100}
+                            overflowY={'scroll'}
+                            wordBreak={'break-all'}
+                        >
+                            {JSON.stringify(image.metadata)}
+                        </Text>
+                    </Flex>
+                </>
+            ) : (
+                <Center width={'100%'} pt={10}>
+                    <Text fontSize={'lg'} fontWeight='semibold'>
+                        No metadata available
+                    </Text>
+                </Center>
+            )}
+        </Flex>
+    );
+};
+
+export default ImageMetadataViewer;

frontend/src/features/gallery/ImageRoll.tsx

@@ -0,0 +1,150 @@
+import {
+    Box,
+    Flex,
+    Icon,
+    IconButton,
+    Image,
+    useColorModeValue,
+} from '@chakra-ui/react';
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { SDImage, setCurrentImage } from './gallerySlice';
+import { FaCheck, FaCopy, FaSeedling, FaTrash } from 'react-icons/fa';
+import DeleteImageModalButton from './DeleteImageModalButton';
+import { memo, SyntheticEvent, useState } from 'react';
+import { setAllParameters, setSeed } from '../sd/sdSlice';
+
+interface HoverableImageProps {
+    image: SDImage;
+    isSelected: boolean;
+}
+
+const HoverableImage = memo(
+    (props: HoverableImageProps) => {
+        const [isHovered, setIsHovered] = useState<boolean>(false);
+        const dispatch = useAppDispatch();
+
+        const checkColor = useColorModeValue('green.600', 'green.300');
+        const bgColor = useColorModeValue('gray.200', 'gray.700');
+        const bgGradient = useColorModeValue(
+            'radial-gradient(circle, rgba(255,255,255,0.7) 0%, rgba(255,255,255,0.7) 20%, rgba(0,0,0,0) 100%)',
+            'radial-gradient(circle, rgba(0,0,0,0.7) 0%, rgba(0,0,0,0.7) 20%, rgba(0,0,0,0) 100%)'
+        );
+
+        const { image, isSelected } = props;
+        const { url, uuid, metadata } = image;
+
+        const handleMouseOver = () => setIsHovered(true);
+        const handleMouseOut = () => setIsHovered(false);
+        const handleClickSetAllParameters = (e: SyntheticEvent) => {
+            e.stopPropagation();
+            dispatch(setAllParameters(metadata));
+        };
+        const handleClickSetSeed = (e: SyntheticEvent) => {
+            e.stopPropagation();
+            dispatch(setSeed(image.metadata.seed!)); // component not rendered unless this exists
+        };
+
+        return (
+            <Box position={'relative'} key={uuid}>
+                <Image
+                    width={120}
+                    height={120}
+                    objectFit='cover'
+                    rounded={'md'}
+                    src={url}
+                    loading={'lazy'}
+                    backgroundColor={bgColor}
+                />
+                <Flex
+                    cursor={'pointer'}
+                    position={'absolute'}
+                    top={0}
+                    left={0}
+                    rounded={'md'}
+                    width='100%'
+                    height='100%'
+                    alignItems={'center'}
+                    justifyContent={'center'}
+                    background={isSelected ? bgGradient : undefined}
+                    onClick={() => dispatch(setCurrentImage(image))}
+                    onMouseOver={handleMouseOver}
+                    onMouseOut={handleMouseOut}
+                >
+                    {isSelected && (
+                        <Icon
+                            fill={checkColor}
+                            width={'50%'}
+                            height={'50%'}
+                            as={FaCheck}
+                        />
+                    )}
+                    {isHovered && (
+                        <Flex
+                            direction={'column'}
+                            gap={1}
+                            position={'absolute'}
+                            top={1}
+                            right={1}
+                        >
+                            <DeleteImageModalButton image={image}>
+                                <IconButton
+                                    colorScheme='red'
+                                    aria-label='Delete image'
+                                    icon={<FaTrash />}
+                                    size='xs'
+                                    fontSize={15}
+                                />
+                            </DeleteImageModalButton>
+                            <IconButton
+                                aria-label='Use all parameters'
+                                colorScheme={'blue'}
+                                icon={<FaCopy />}
+                                size='xs'
+                                fontSize={15}
+                                onClickCapture={handleClickSetAllParameters}
+                            />
+                            {image.metadata.seed && (
+                                <IconButton
+                                    aria-label='Use seed'
+                                    colorScheme={'blue'}
+                                    icon={<FaSeedling />}
+                                    size='xs'
+                                    fontSize={16}
+                                    onClickCapture={handleClickSetSeed}
+                                />
+                            )}
+                        </Flex>
+                    )}
+                </Flex>
+            </Box>
+        );
+    },
+    (prev, next) =>
+        prev.image.uuid === next.image.uuid &&
+        prev.isSelected === next.isSelected
+);
+
+const ImageRoll = () => {
+    const { images, currentImageUuid } = useAppSelector(
+        (state: RootState) => state.gallery
+    );
+
+    return (
+        <Flex gap={2} wrap='wrap' pb={2}>
+            {[...images].reverse().map((image) => {
+                const { uuid } = image;
+                const isSelected = currentImageUuid === uuid;
+                return (
+                    <HoverableImage
+                        key={uuid}
+                        image={image}
+                        isSelected={isSelected}
+                    />
+                );
+            })}
+        </Flex>
+    );
+};
+
+export default ImageRoll;

frontend/src/features/gallery/gallerySlice.ts

@@ -0,0 +1,144 @@
+import { createSlice } from '@reduxjs/toolkit';
+import type { PayloadAction } from '@reduxjs/toolkit';
+import { v4 as uuidv4 } from 'uuid';
+import { UpscalingLevel } from '../sd/sdSlice';
+import { backendToFrontendParameters } from '../../app/parameterTranslation';
+
+// TODO: Revise pending metadata RFC: https://github.com/lstein/stable-diffusion/issues/266
+export interface SDMetadata {
+  prompt?: string;
+  steps?: number;
+  cfgScale?: number;
+  height?: number;
+  width?: number;
+  sampler?: string;
+  seed?: number;
+  img2imgStrength?: number;
+  gfpganStrength?: number;
+  upscalingLevel?: UpscalingLevel;
+  upscalingStrength?: number;
+  initialImagePath?: string;
+  maskPath?: string;
+  seamless?: boolean;
+  shouldFitToWidthHeight?: boolean;
+}
+
+export interface SDImage {
+  // TODO: I have installed @types/uuid but cannot figure out how to use them here.
+  uuid: string;
+  url: string;
+  metadata: SDMetadata;
+}
+
+export interface GalleryState {
+  currentImageUuid: string;
+  images: Array<SDImage>;
+  intermediateImage?: SDImage;
+  currentImage?: SDImage;
+}
+
+const initialState: GalleryState = {
+  currentImageUuid: '',
+  images: [],
+};
+
+export const gallerySlice = createSlice({
+  name: 'gallery',
+  initialState,
+  reducers: {
+    setCurrentImage: (state, action: PayloadAction<SDImage>) => {
+      state.currentImage = action.payload;
+      state.currentImageUuid = action.payload.uuid;
+    },
+    removeImage: (state, action: PayloadAction<SDImage>) => {
+      const { uuid } = action.payload;
+
+      const newImages = state.images.filter((image) => image.uuid !== uuid);
+
+      const imageToDeleteIndex = state.images.findIndex(
+        (image) => image.uuid === uuid
+      );
+
+      const newCurrentImageIndex = Math.min(
+        Math.max(imageToDeleteIndex, 0),
+        newImages.length - 1
+      );
+
+      state.images = newImages;
+
+      state.currentImage = newImages.length
+        ? newImages[newCurrentImageIndex]
+        : undefined;
+
+      state.currentImageUuid = newImages.length
+        ? newImages[newCurrentImageIndex].uuid
+        : '';
+    },
+    addImage: (state, action: PayloadAction<SDImage>) => {
+      state.images.push(action.payload);
+      state.currentImageUuid = action.payload.uuid;
+      state.intermediateImage = undefined;
+      state.currentImage = action.payload;
+    },
+    setIntermediateImage: (state, action: PayloadAction<SDImage>) => {
+      state.intermediateImage = action.payload;
+    },
+    clearIntermediateImage: (state) => {
+      state.intermediateImage = undefined;
+    },
+    setGalleryImages: (
+      state,
+      action: PayloadAction<
+        Array<{
+          path: string;
+          metadata: { [key: string]: string | number | boolean };
+        }>
+      >
+    ) => {
+      // TODO: Revise pending metadata RFC: https://github.com/lstein/stable-diffusion/issues/266
+      const images = action.payload;
+
+      if (images.length === 0) {
+        // there are no images on disk, clear the gallery
+        state.images = [];
+        state.currentImageUuid = '';
+        state.currentImage = undefined;
+      } else {
+        // Filter image urls that are already in the rehydrated state
+        const filteredImages = action.payload.filter(
+          (image) => !state.images.find((i) => i.url === image.path)
+        );
+
+        const preparedImages = filteredImages.map((image): SDImage => {
+          return {
+            uuid: uuidv4(),
+            url: image.path,
+            metadata: backendToFrontendParameters(image.metadata),
+          };
+        });
+
+        const newImages = [...state.images].concat(preparedImages);
+
+        // if previous currentimage no longer exists, set a new one
+        if (!newImages.find((image) => image.uuid === state.currentImageUuid)) {
+          const newCurrentImage = newImages[newImages.length - 1];
+          state.currentImage = newCurrentImage;
+          state.currentImageUuid = newCurrentImage.uuid;
+        }
+
+        state.images = newImages;
+      }
+    },
+  },
+});
+
+export const {
+  setCurrentImage,
+  removeImage,
+  addImage,
+  setGalleryImages,
+  setIntermediateImage,
+  clearIntermediateImage,
+} = gallerySlice.actions;
+
+export default gallerySlice.reducer;

frontend/src/features/header/ProgressBar.tsx

@@ -0,0 +1,35 @@
+import { Progress } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { SDState } from '../sd/sdSlice';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            realSteps: sd.realSteps,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const ProgressBar = () => {
+    const { realSteps } = useAppSelector(sdSelector);
+    const { currentStep } = useAppSelector((state: RootState) => state.system);
+    const progress = Math.round((currentStep * 100) / realSteps);
+    return (
+        <Progress
+            height='10px'
+            value={progress}
+            isIndeterminate={progress < 0 || currentStep === realSteps}
+        />
+    );
+};
+
+export default ProgressBar;

frontend/src/features/header/SiteHeader.tsx

@@ -0,0 +1,93 @@
+import {
+  Flex,
+  Heading,
+  IconButton,
+  Link,
+  Spacer,
+  Text,
+  useColorMode,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+import { FaSun, FaMoon, FaGithub } from 'react-icons/fa';
+import { MdHelp, MdSettings } from 'react-icons/md';
+import { useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import SettingsModal from '../system/SettingsModal';
+import { SystemState } from '../system/systemSlice';
+
+const systemSelector = createSelector(
+  (state: RootState) => state.system,
+  (system: SystemState) => {
+    return { isConnected: system.isConnected };
+  },
+  {
+    memoizeOptions: { resultEqualityCheck: isEqual },
+  }
+);
+
+const SiteHeader = () => {
+  const { colorMode, toggleColorMode } = useColorMode();
+  const { isConnected } = useAppSelector(systemSelector);
+
+  return (
+    <Flex minWidth='max-content' alignItems='center' gap='1' pl={2} pr={1}>
+      <Heading size={'lg'}>Stable Diffusion Dream Server</Heading>
+
+      <Spacer />
+
+      <Text textColor={isConnected ? 'green.500' : 'red.500'}>
+        {isConnected ? `Connected to server` : 'No connection to server'}
+      </Text>
+
+      <SettingsModal>
+        <IconButton
+          aria-label='Settings'
+          variant='link'
+          fontSize={24}
+          size={'sm'}
+          icon={<MdSettings />}
+        />
+      </SettingsModal>
+
+      <IconButton
+        aria-label='Link to Github Issues'
+        variant='link'
+        fontSize={23}
+        size={'sm'}
+        icon={
+          <Link
+            isExternal
+            href='http://github.com/lstein/stable-diffusion/issues'
+          >
+            <MdHelp />
+          </Link>
+        }
+      />
+
+      <IconButton
+        aria-label='Link to Github Repo'
+        variant='link'
+        fontSize={20}
+        size={'sm'}
+        icon={
+          <Link isExternal href='http://github.com/lstein/stable-diffusion'>
+            <FaGithub />
+          </Link>
+        }
+      />
+
+      <IconButton
+        aria-label='Toggle Dark Mode'
+        onClick={toggleColorMode}
+        variant='link'
+        size={'sm'}
+        fontSize={colorMode == 'light' ? 18 : 20}
+        icon={colorMode == 'light' ? <FaMoon /> : <FaSun />}
+      />
+    </Flex>
+  );
+};
+
+export default SiteHeader;

frontend/src/features/sd/ESRGANOptions.tsx

@@ -0,0 +1,84 @@
+import { Flex } from '@chakra-ui/react';
+
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+
+import {
+    setUpscalingLevel,
+    setUpscalingStrength,
+    UpscalingLevel,
+    SDState,
+} from '../sd/sdSlice';
+
+import SDNumberInput from '../../components/SDNumberInput';
+import SDSelect from '../../components/SDSelect';
+
+import { UPSCALING_LEVELS } from '../../app/constants';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { SystemState } from '../system/systemSlice';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            upscalingLevel: sd.upscalingLevel,
+            upscalingStrength: sd.upscalingStrength,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isESRGANAvailable: system.isESRGANAvailable,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+const ESRGANOptions = () => {
+    const { upscalingLevel, upscalingStrength } = useAppSelector(sdSelector);
+
+    const { isESRGANAvailable } = useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex direction={'column'} gap={2}>
+            <SDSelect
+                isDisabled={!isESRGANAvailable}
+                label='Scale'
+                value={upscalingLevel}
+                onChange={(e) =>
+                    dispatch(
+                        setUpscalingLevel(
+                            Number(e.target.value) as UpscalingLevel
+                        )
+                    )
+                }
+                validValues={UPSCALING_LEVELS}
+            />
+            <SDNumberInput
+                isDisabled={!isESRGANAvailable}
+                label='Strength'
+                step={0.05}
+                min={0}
+                max={1}
+                onChange={(v) => dispatch(setUpscalingStrength(Number(v)))}
+                value={upscalingStrength}
+            />
+        </Flex>
+    );
+};
+
+export default ESRGANOptions;

frontend/src/features/sd/GFPGANOptions.tsx

@@ -0,0 +1,63 @@
+import { Flex } from '@chakra-ui/react';
+
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+
+import { SDState, setGfpganStrength } from '../sd/sdSlice';
+
+import SDNumberInput from '../../components/SDNumberInput';
+
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { SystemState } from '../system/systemSlice';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            gfpganStrength: sd.gfpganStrength,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isGFPGANAvailable: system.isGFPGANAvailable,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+const GFPGANOptions = () => {
+    const { gfpganStrength } = useAppSelector(sdSelector);
+
+    const { isGFPGANAvailable } = useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex direction={'column'} gap={2}>
+            <SDNumberInput
+                isDisabled={!isGFPGANAvailable}
+                label='Strength'
+                step={0.05}
+                min={0}
+                max={1}
+                onChange={(v) => dispatch(setGfpganStrength(Number(v)))}
+                value={gfpganStrength}
+            />
+        </Flex>
+    );
+};
+
+export default GFPGANOptions;

frontend/src/features/sd/ImageToImageOptions.tsx

@@ -0,0 +1,54 @@
+import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import SDNumberInput from '../../components/SDNumberInput';
+import SDSwitch from '../../components/SDSwitch';
+import InitImage from './InitImage';
+import {
+    SDState,
+    setImg2imgStrength,
+    setShouldFitToWidthHeight,
+} from './sdSlice';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            initialImagePath: sd.initialImagePath,
+            img2imgStrength: sd.img2imgStrength,
+            shouldFitToWidthHeight: sd.shouldFitToWidthHeight,
+        };
+    }
+);
+
+const ImageToImageOptions = () => {
+    const { initialImagePath, img2imgStrength, shouldFitToWidthHeight } =
+        useAppSelector(sdSelector);
+
+    const dispatch = useAppDispatch();
+    return (
+        <Flex direction={'column'} gap={2}>
+            <SDNumberInput
+                isDisabled={!initialImagePath}
+                label='Strength'
+                step={0.01}
+                min={0}
+                max={1}
+                onChange={(v) => dispatch(setImg2imgStrength(Number(v)))}
+                value={img2imgStrength}
+            />
+            <SDSwitch
+                isDisabled={!initialImagePath}
+                label='Fit initial image to output size'
+                isChecked={shouldFitToWidthHeight}
+                onChange={(e) =>
+                    dispatch(setShouldFitToWidthHeight(e.target.checked))
+                }
+            />
+            <InitImage />
+        </Flex>
+    );
+};
+
+export default ImageToImageOptions;

frontend/src/features/sd/InitImage.css

@@ -0,0 +1,20 @@
+.checkerboard {
+    background-position: 0px 0px, 10px 10px;
+    background-size: 20px 20px;
+    background-image: linear-gradient(
+            45deg,
+            #eee 25%,
+            transparent 25%,
+            transparent 75%,
+            #eee 75%,
+            #eee 100%
+        ),
+        linear-gradient(
+            45deg,
+            #eee 25%,
+            white 25%,
+            white 75%,
+            #eee 75%,
+            #eee 100%
+        );
+}

frontend/src/features/sd/InitImage.tsx

@@ -0,0 +1,155 @@
+import {
+  Button,
+  Flex,
+  IconButton,
+  Image,
+  useToast,
+} from '@chakra-ui/react';
+import { SyntheticEvent, useCallback, useState } from 'react';
+import { FileRejection, useDropzone } from 'react-dropzone';
+import { FaTrash } from 'react-icons/fa';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import {
+  SDState,
+  setInitialImagePath,
+  setMaskPath,
+} from '../../features/sd/sdSlice';
+import MaskUploader from './MaskUploader';
+import './InitImage.css';
+import { uploadInitialImage } from '../../app/socketio';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+const sdSelector = createSelector(
+  (state: RootState) => state.sd,
+  (sd: SDState) => {
+    return {
+      initialImagePath: sd.initialImagePath,
+      maskPath: sd.maskPath,
+    };
+  },
+  { memoizeOptions: { resultEqualityCheck: isEqual } }
+);
+
+const InitImage = () => {
+  const toast = useToast();
+  const dispatch = useAppDispatch();
+  const { initialImagePath, maskPath } = useAppSelector(sdSelector);
+
+  const onDrop = useCallback(
+    (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
+      fileRejections.forEach((rejection: FileRejection) => {
+        const msg = rejection.errors.reduce(
+          (acc: string, cur: { message: string }) => acc + '\n' + cur.message,
+          ''
+        );
+
+        toast({
+          title: 'Upload failed',
+          description: msg,
+          status: 'error',
+          isClosable: true,
+        });
+      });
+
+      acceptedFiles.forEach((file: File) => {
+        dispatch(uploadInitialImage(file));
+      });
+    },
+    [dispatch, toast]
+  );
+
+  const { getRootProps, getInputProps, open } = useDropzone({
+    onDrop,
+    accept: {
+      'image/jpeg': ['.jpg', '.jpeg', '.png'],
+    },
+  });
+
+  const [shouldShowMask, setShouldShowMask] = useState<boolean>(false);
+  const handleClickUploadIcon = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    open();
+  };
+  const handleClickResetInitialImageAndMask = (e: SyntheticEvent) => {
+    e.stopPropagation();
+    dispatch(setInitialImagePath(''));
+    dispatch(setMaskPath(''));
+  };
+
+  const handleMouseOverInitialImageUploadButton = () =>
+    setShouldShowMask(false);
+  const handleMouseOutInitialImageUploadButton = () => setShouldShowMask(true);
+
+  const handleMouseOverMaskUploadButton = () => setShouldShowMask(true);
+  const handleMouseOutMaskUploadButton = () => setShouldShowMask(true);
+
+  return (
+    <Flex
+      {...getRootProps({
+        onClick: initialImagePath ? (e) => e.stopPropagation() : undefined,
+      })}
+      direction={'column'}
+      alignItems={'center'}
+      gap={2}
+    >
+      <input {...getInputProps({ multiple: false })} />
+      <Flex gap={2} justifyContent={'space-between'} width={'100%'}>
+        <Button
+          size={'sm'}
+          fontSize={'md'}
+          fontWeight={'normal'}
+          onClick={handleClickUploadIcon}
+          onMouseOver={handleMouseOverInitialImageUploadButton}
+          onMouseOut={handleMouseOutInitialImageUploadButton}
+        >
+          Upload Image
+        </Button>
+
+        <MaskUploader>
+          <Button
+            size={'sm'}
+            fontSize={'md'}
+            fontWeight={'normal'}
+            onClick={handleClickUploadIcon}
+            onMouseOver={handleMouseOverMaskUploadButton}
+            onMouseOut={handleMouseOutMaskUploadButton}
+          >
+            Upload Mask
+          </Button>
+        </MaskUploader>
+        <IconButton
+          size={'sm'}
+          aria-label={'Reset initial image and mask'}
+          onClick={handleClickResetInitialImageAndMask}
+          icon={<FaTrash />}
+        />
+      </Flex>
+      {initialImagePath && (
+        <Flex position={'relative'} width={'100%'}>
+          <Image
+            fit={'contain'}
+            src={initialImagePath}
+            rounded={'md'}
+            className={'checkerboard'}
+          />
+          {shouldShowMask && maskPath && (
+            <Image
+              position={'absolute'}
+              top={0}
+              left={0}
+              fit={'contain'}
+              src={maskPath}
+              rounded={'md'}
+              zIndex={1}
+              className={'checkerboard'}
+            />
+          )}
+        </Flex>
+      )}
+    </Flex>
+  );
+};
+
+export default InitImage;

frontend/src/features/sd/MaskUploader.tsx

@@ -0,0 +1,61 @@
+import { useToast } from '@chakra-ui/react';
+import { cloneElement, ReactElement, SyntheticEvent, useCallback } from 'react';
+import { FileRejection, useDropzone } from 'react-dropzone';
+import { useAppDispatch } from '../../app/hooks';
+import { uploadMaskImage } from '../../app/socketio';
+
+type Props = {
+    children: ReactElement;
+};
+
+const MaskUploader = ({ children }: Props) => {
+    const dispatch = useAppDispatch();
+    const toast = useToast();
+
+    const onDrop = useCallback(
+        (acceptedFiles: Array<File>, fileRejections: Array<FileRejection>) => {
+            fileRejections.forEach((rejection: FileRejection) => {
+                const msg = rejection.errors.reduce(
+                    (acc: string, cur: { message: string }) =>
+                        acc + '\n' + cur.message,
+                    ''
+                );
+
+                toast({
+                    title: 'Upload failed',
+                    description: msg,
+                    status: 'error',
+                    isClosable: true,
+                });
+            });
+
+            acceptedFiles.forEach((file: File) => {
+                dispatch(uploadMaskImage(file));
+            });
+        },
+        [dispatch, toast]
+    );
+
+    const { getRootProps, getInputProps, open } = useDropzone({
+        onDrop,
+        accept: {
+            'image/jpeg': ['.jpg', '.jpeg', '.png'],
+        },
+    });
+
+    const handleClickUploadIcon = (e: SyntheticEvent) => {
+        e.stopPropagation();
+        open();
+    };
+
+    return (
+        <div {...getRootProps()}>
+            <input {...getInputProps({ multiple: false })} />
+            {cloneElement(children, {
+                onClick: handleClickUploadIcon,
+            })}
+        </div>
+    );
+};
+
+export default MaskUploader;

frontend/src/features/sd/OptionsAccordion.tsx

@@ -0,0 +1,211 @@
+import {
+    Flex,
+    Box,
+    Text,
+    Accordion,
+    AccordionItem,
+    AccordionButton,
+    AccordionIcon,
+    AccordionPanel,
+    Switch,
+} from '@chakra-ui/react';
+
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+
+import {
+    setShouldRunGFPGAN,
+    setShouldRunESRGAN,
+    SDState,
+    setShouldUseInitImage,
+} from '../sd/sdSlice';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { setOpenAccordions, SystemState } from '../system/systemSlice';
+import SeedVariationOptions from './SeedVariationOptions';
+import SamplerOptions from './SamplerOptions';
+import ESRGANOptions from './ESRGANOptions';
+import GFPGANOptions from './GFPGANOptions';
+import OutputOptions from './OutputOptions';
+import ImageToImageOptions from './ImageToImageOptions';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            initialImagePath: sd.initialImagePath,
+            shouldUseInitImage: sd.shouldUseInitImage,
+            shouldRunESRGAN: sd.shouldRunESRGAN,
+            shouldRunGFPGAN: sd.shouldRunGFPGAN,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isGFPGANAvailable: system.isGFPGANAvailable,
+            isESRGANAvailable: system.isESRGANAvailable,
+            openAccordions: system.openAccordions,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const OptionsAccordion = () => {
+    const {
+        shouldRunESRGAN,
+        shouldRunGFPGAN,
+        shouldUseInitImage,
+        initialImagePath,
+    } = useAppSelector(sdSelector);
+
+    const { isGFPGANAvailable, isESRGANAvailable, openAccordions } =
+        useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Accordion
+            defaultIndex={openAccordions}
+            allowMultiple
+            reduceMotion
+            onChange={(openAccordions) =>
+                dispatch(setOpenAccordions(openAccordions))
+            }
+        >
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Box flex='1' textAlign='left'>
+                            Seed & Variation
+                        </Box>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <SeedVariationOptions />
+                </AccordionPanel>
+            </AccordionItem>
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Box flex='1' textAlign='left'>
+                            Sampler
+                        </Box>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <SamplerOptions />
+                </AccordionPanel>
+            </AccordionItem>
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Flex
+                            justifyContent={'space-between'}
+                            alignItems={'center'}
+                            width={'100%'}
+                            mr={2}
+                        >
+                            <Text>Upscale (ESRGAN)</Text>
+                            <Switch
+                                isDisabled={!isESRGANAvailable}
+                                isChecked={shouldRunESRGAN}
+                                onChange={(e) =>
+                                    dispatch(
+                                        setShouldRunESRGAN(e.target.checked)
+                                    )
+                                }
+                            />
+                        </Flex>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <ESRGANOptions />
+                </AccordionPanel>
+            </AccordionItem>
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Flex
+                            justifyContent={'space-between'}
+                            alignItems={'center'}
+                            width={'100%'}
+                            mr={2}
+                        >
+                            <Text>Fix Faces (GFPGAN)</Text>
+                            <Switch
+                                isDisabled={!isGFPGANAvailable}
+                                isChecked={shouldRunGFPGAN}
+                                onChange={(e) =>
+                                    dispatch(
+                                        setShouldRunGFPGAN(e.target.checked)
+                                    )
+                                }
+                            />
+                        </Flex>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <GFPGANOptions />
+                </AccordionPanel>
+            </AccordionItem>
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Flex
+                            justifyContent={'space-between'}
+                            alignItems={'center'}
+                            width={'100%'}
+                            mr={2}
+                        >
+                            <Text>Image to Image</Text>
+                            <Switch
+                                isDisabled={!initialImagePath}
+                                isChecked={shouldUseInitImage}
+                                onChange={(e) =>
+                                    dispatch(
+                                        setShouldUseInitImage(e.target.checked)
+                                    )
+                                }
+                            />
+                        </Flex>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <ImageToImageOptions />
+                </AccordionPanel>
+            </AccordionItem>
+            <AccordionItem>
+                <h2>
+                    <AccordionButton>
+                        <Box flex='1' textAlign='left'>
+                            Output
+                        </Box>
+                        <AccordionIcon />
+                    </AccordionButton>
+                </h2>
+                <AccordionPanel>
+                    <OutputOptions />
+                </AccordionPanel>
+            </AccordionItem>
+        </Accordion>
+    );
+};
+
+export default OptionsAccordion;

frontend/src/features/sd/OutputOptions.tsx

@@ -0,0 +1,66 @@
+import { Flex } from '@chakra-ui/react';
+
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+
+import { setHeight, setWidth, setSeamless, SDState } from '../sd/sdSlice';
+
+import SDSelect from '../../components/SDSelect';
+
+import { HEIGHTS, WIDTHS } from '../../app/constants';
+import SDSwitch from '../../components/SDSwitch';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            height: sd.height,
+            width: sd.width,
+            seamless: sd.seamless,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const OutputOptions = () => {
+    const { height, width, seamless } = useAppSelector(sdSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex gap={2} direction={'column'}>
+            <Flex gap={2}>
+                <SDSelect
+                    label='Width'
+                    value={width}
+                    flexGrow={1}
+                    onChange={(e) => dispatch(setWidth(Number(e.target.value)))}
+                    validValues={WIDTHS}
+                />
+                <SDSelect
+                    label='Height'
+                    value={height}
+                    flexGrow={1}
+                    onChange={(e) =>
+                        dispatch(setHeight(Number(e.target.value)))
+                    }
+                    validValues={HEIGHTS}
+                />
+            </Flex>
+            <SDSwitch
+                label='Seamless tiling'
+                fontSize={'md'}
+                isChecked={seamless}
+                onChange={(e) => dispatch(setSeamless(e.target.checked))}
+            />
+        </Flex>
+    );
+};
+
+export default OutputOptions;

frontend/src/features/sd/ProcessButtons.tsx

@@ -0,0 +1,58 @@
+import { Flex } from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { cancelProcessing, generateImage } from '../../app/socketio';
+import { RootState } from '../../app/store';
+import SDButton from '../../components/SDButton';
+import { SystemState } from '../system/systemSlice';
+import useCheckParameters from '../system/useCheckParameters';
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isProcessing: system.isProcessing,
+            isConnected: system.isConnected,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const ProcessButtons = () => {
+    const { isProcessing, isConnected } = useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    const isReady = useCheckParameters();
+
+    return (
+        <Flex gap={2} direction={'column'} alignItems={'space-between'} height={'100%'}>
+            <SDButton
+                label='Generate'
+                type='submit'
+                colorScheme='green'
+                flexGrow={1}
+                isDisabled={!isReady}
+                fontSize={'md'}
+                size={'md'}
+                onClick={() => dispatch(generateImage())}
+            />
+            <SDButton
+                label='Cancel'
+                colorScheme='red'
+                flexGrow={1}
+                fontSize={'md'}
+                size={'md'}
+                isDisabled={!isConnected || !isProcessing}
+                onClick={() => dispatch(cancelProcessing())}
+            />
+        </Flex>
+    );
+};
+
+export default ProcessButtons;

frontend/src/features/sd/PromptInput.tsx

@@ -0,0 +1,25 @@
+import { Textarea } from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { setPrompt } from '../sd/sdSlice';
+
+const PromptInput = () => {
+  const { prompt } = useAppSelector((state: RootState) => state.sd);
+  const dispatch = useAppDispatch();
+
+  return (
+    <Textarea
+      id='prompt'
+      name='prompt'
+      resize='none'
+      size={'lg'}
+      height={'100%'}
+      isInvalid={!prompt.length}
+      onChange={(e) => dispatch(setPrompt(e.target.value))}
+      value={prompt}
+      placeholder="I'm dreaming of..."
+    />
+  );
+};
+
+export default PromptInput;

frontend/src/features/sd/SDSlider.tsx

@@ -0,0 +1,51 @@
+import {
+    Slider,
+    SliderTrack,
+    SliderFilledTrack,
+    SliderThumb,
+    FormControl,
+    FormLabel,
+    Text,
+    Flex,
+    SliderProps,
+} from '@chakra-ui/react';
+
+interface Props extends SliderProps {
+    label: string;
+    value: number;
+    fontSize?: number | string;
+}
+
+const SDSlider = ({
+    label,
+    value,
+    fontSize = 'sm',
+    onChange,
+    ...rest
+}: Props) => {
+    return (
+        <FormControl>
+            <Flex gap={2}>
+                <FormLabel marginInlineEnd={0} marginBottom={1}>
+                    <Text fontSize={fontSize} whiteSpace='nowrap'>
+                        {label}
+                    </Text>
+                </FormLabel>
+                <Slider
+                    aria-label={label}
+                    focusThumbOnChange={true}
+                    value={value}
+                    onChange={onChange}
+                    {...rest}
+                >
+                    <SliderTrack>
+                        <SliderFilledTrack />
+                    </SliderTrack>
+                    <SliderThumb />
+                </Slider>
+            </Flex>
+        </FormControl>
+    );
+};
+
+export default SDSlider;

frontend/src/features/sd/SamplerOptions.tsx

@@ -0,0 +1,62 @@
+import { Flex } from '@chakra-ui/react';
+
+import { RootState } from '../../app/store';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+
+import { setCfgScale, setSampler, setSteps, SDState } from '../sd/sdSlice';
+
+import SDNumberInput from '../../components/SDNumberInput';
+import SDSelect from '../../components/SDSelect';
+
+import { SAMPLERS } from '../../app/constants';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            steps: sd.steps,
+            cfgScale: sd.cfgScale,
+            sampler: sd.sampler,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const SamplerOptions = () => {
+    const { steps, cfgScale, sampler } = useAppSelector(sdSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex gap={2} direction={'column'}>
+            <SDNumberInput
+                label='Steps'
+                min={1}
+                step={1}
+                precision={0}
+                onChange={(v) => dispatch(setSteps(Number(v)))}
+                value={steps}
+            />
+            <SDNumberInput
+                label='CFG scale'
+                step={0.5}
+                onChange={(v) => dispatch(setCfgScale(Number(v)))}
+                value={cfgScale}
+            />
+            <SDSelect
+                label='Sampler'
+                value={sampler}
+                onChange={(e) => dispatch(setSampler(e.target.value))}
+                validValues={SAMPLERS}
+            />
+        </Flex>
+    );
+};
+
+export default SamplerOptions;

frontend/src/features/sd/SeedVariationOptions.tsx

@@ -0,0 +1,144 @@
+import {
+    Flex,
+    Input,
+    HStack,
+    FormControl,
+    FormLabel,
+    Text,
+    Button,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import SDNumberInput from '../../components/SDNumberInput';
+import SDSwitch from '../../components/SDSwitch';
+import {
+    randomizeSeed,
+    SDState,
+    setIterations,
+    setSeed,
+    setSeedWeights,
+    setShouldGenerateVariations,
+    setShouldRandomizeSeed,
+    setVariantAmount,
+} from './sdSlice';
+import { validateSeedWeights } from './util/seedWeightPairs';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            variantAmount: sd.variantAmount,
+            seedWeights: sd.seedWeights,
+            shouldGenerateVariations: sd.shouldGenerateVariations,
+            shouldRandomizeSeed: sd.shouldRandomizeSeed,
+            seed: sd.seed,
+            iterations: sd.iterations,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const SeedVariationOptions = () => {
+    const {
+        shouldGenerateVariations,
+        variantAmount,
+        seedWeights,
+        shouldRandomizeSeed,
+        seed,
+        iterations,
+    } = useAppSelector(sdSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex gap={2} direction={'column'}>
+            <SDNumberInput
+                label='Images to generate'
+                step={1}
+                min={1}
+                precision={0}
+                onChange={(v) => dispatch(setIterations(Number(v)))}
+                value={iterations}
+            />
+            <SDSwitch
+                label='Randomize seed on generation'
+                isChecked={shouldRandomizeSeed}
+                onChange={(e) =>
+                    dispatch(setShouldRandomizeSeed(e.target.checked))
+                }
+            />
+            <Flex gap={2}>
+                <SDNumberInput
+                    label='Seed'
+                    step={1}
+                    precision={0}
+                    flexGrow={1}
+                    min={NUMPY_RAND_MIN}
+                    max={NUMPY_RAND_MAX}
+                    isDisabled={shouldRandomizeSeed}
+                    isInvalid={seed < 0 && shouldGenerateVariations}
+                    onChange={(v) => dispatch(setSeed(Number(v)))}
+                    value={seed}
+                />
+                <Button
+                    size={'sm'}
+                    isDisabled={shouldRandomizeSeed}
+                    onClick={() => dispatch(randomizeSeed())}
+                >
+                    <Text pl={2} pr={2}>
+                        Shuffle
+                    </Text>
+                </Button>
+            </Flex>
+            <SDSwitch
+                label='Generate variations'
+                isChecked={shouldGenerateVariations}
+                width={'auto'}
+                onChange={(e) =>
+                    dispatch(setShouldGenerateVariations(e.target.checked))
+                }
+            />
+            <SDNumberInput
+                label='Variation amount'
+                value={variantAmount}
+                step={0.01}
+                min={0}
+                max={1}
+                isDisabled={!shouldGenerateVariations}
+                onChange={(v) => dispatch(setVariantAmount(Number(v)))}
+            />
+            <FormControl
+                isInvalid={
+                    shouldGenerateVariations &&
+                    !(validateSeedWeights(seedWeights) || seedWeights === '')
+                }
+                flexGrow={1}
+                isDisabled={!shouldGenerateVariations}
+            >
+                <HStack>
+                    <FormLabel marginInlineEnd={0} marginBottom={1}>
+                        <Text whiteSpace='nowrap'>
+                            Seed Weights
+                        </Text>
+                    </FormLabel>
+                    <Input
+                        size={'sm'}
+                        value={seedWeights}
+                        onChange={(e) =>
+                            dispatch(setSeedWeights(e.target.value))
+                        }
+                    />
+                </HStack>
+            </FormControl>
+        </Flex>
+    );
+};
+
+export default SeedVariationOptions;

frontend/src/features/sd/Variant.tsx

@@ -0,0 +1,92 @@
+import {
+    Flex,
+    FormControl,
+    FormLabel,
+    HStack,
+    Input,
+    Text,
+} from '@chakra-ui/react';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import SDNumberInput from '../../components/SDNumberInput';
+import SDSwitch from '../../components/SDSwitch';
+import {
+    SDState,
+    setSeedWeights,
+    setShouldGenerateVariations,
+    setVariantAmount,
+} from './sdSlice';
+import { validateSeedWeights } from './util/seedWeightPairs';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            variantAmount: sd.variantAmount,
+            seedWeights: sd.seedWeights,
+            shouldGenerateVariations: sd.shouldGenerateVariations,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const Variant = () => {
+    const { shouldGenerateVariations, variantAmount, seedWeights } =
+        useAppSelector(sdSelector);
+
+    const dispatch = useAppDispatch();
+
+    return (
+        <Flex gap={2} alignItems={'center'} pl={1}>
+            <SDSwitch
+                label='Generate variations'
+                isChecked={shouldGenerateVariations}
+                width={'auto'}
+                onChange={(e) =>
+                    dispatch(setShouldGenerateVariations(e.target.checked))
+                }
+            />
+            <SDNumberInput
+                label='Amount'
+                value={variantAmount}
+                step={0.01}
+                min={0}
+                max={1}
+                width={240}
+                isDisabled={!shouldGenerateVariations}
+                onChange={(v) => dispatch(setVariantAmount(Number(v)))}
+            />
+            <FormControl
+                isInvalid={
+                    shouldGenerateVariations &&
+                    !(validateSeedWeights(seedWeights) || seedWeights === '')
+                }
+                flexGrow={1}
+                isDisabled={!shouldGenerateVariations}
+            >
+                <HStack>
+                    <FormLabel marginInlineEnd={0} marginBottom={1}>
+                        <Text fontSize={'sm'} whiteSpace='nowrap'>
+                            Seed Weights
+                        </Text>
+                    </FormLabel>
+                    <Input
+                        size={'sm'}
+                        value={seedWeights}
+                        onChange={(e) =>
+                            dispatch(setSeedWeights(e.target.value))
+                        }
+                    />
+                </HStack>
+            </FormControl>
+        </Flex>
+    );
+};
+
+export default Variant;

frontend/src/features/sd/sdSlice.ts

@@ -0,0 +1,283 @@
+import { createSlice } from '@reduxjs/toolkit';
+import type { PayloadAction } from '@reduxjs/toolkit';
+import { SDMetadata } from '../gallery/gallerySlice';
+import randomInt from './util/randomInt';
+import { NUMPY_RAND_MAX, NUMPY_RAND_MIN } from '../../app/constants';
+
+const calculateRealSteps = (
+  steps: number,
+  strength: number,
+  hasInitImage: boolean
+): number => {
+  return hasInitImage ? Math.floor(strength * steps) : steps;
+};
+
+export type UpscalingLevel = 0 | 2 | 3 | 4;
+
+export interface SDState {
+  prompt: string;
+  iterations: number;
+  steps: number;
+  realSteps: number;
+  cfgScale: number;
+  height: number;
+  width: number;
+  sampler: string;
+  seed: number;
+  img2imgStrength: number;
+  gfpganStrength: number;
+  upscalingLevel: UpscalingLevel;
+  upscalingStrength: number;
+  shouldUseInitImage: boolean;
+  initialImagePath: string;
+  maskPath: string;
+  seamless: boolean;
+  shouldFitToWidthHeight: boolean;
+  shouldGenerateVariations: boolean;
+  variantAmount: number;
+  seedWeights: string;
+  shouldRunESRGAN: boolean;
+  shouldRunGFPGAN: boolean;
+  shouldRandomizeSeed: boolean;
+}
+
+const initialSDState: SDState = {
+  prompt: '',
+  iterations: 1,
+  steps: 50,
+  realSteps: 50,
+  cfgScale: 7.5,
+  height: 512,
+  width: 512,
+  sampler: 'k_lms',
+  seed: 0,
+  seamless: false,
+  shouldUseInitImage: false,
+  img2imgStrength: 0.75,
+  initialImagePath: '',
+  maskPath: '',
+  shouldFitToWidthHeight: true,
+  shouldGenerateVariations: false,
+  variantAmount: 0.1,
+  seedWeights: '',
+  shouldRunESRGAN: false,
+  upscalingLevel: 4,
+  upscalingStrength: 0.75,
+  shouldRunGFPGAN: false,
+  gfpganStrength: 0.8,
+  shouldRandomizeSeed: true,
+};
+
+const initialState: SDState = initialSDState;
+
+export const sdSlice = createSlice({
+  name: 'sd',
+  initialState,
+  reducers: {
+    setPrompt: (state, action: PayloadAction<string>) => {
+      state.prompt = action.payload;
+    },
+    setIterations: (state, action: PayloadAction<number>) => {
+      state.iterations = action.payload;
+    },
+    setSteps: (state, action: PayloadAction<number>) => {
+      const { img2imgStrength, initialImagePath } = state;
+      const steps = action.payload;
+      state.steps = steps;
+      state.realSteps = calculateRealSteps(
+        steps,
+        img2imgStrength,
+        Boolean(initialImagePath)
+      );
+    },
+    setCfgScale: (state, action: PayloadAction<number>) => {
+      state.cfgScale = action.payload;
+    },
+    setHeight: (state, action: PayloadAction<number>) => {
+      state.height = action.payload;
+    },
+    setWidth: (state, action: PayloadAction<number>) => {
+      state.width = action.payload;
+    },
+    setSampler: (state, action: PayloadAction<string>) => {
+      state.sampler = action.payload;
+    },
+    setSeed: (state, action: PayloadAction<number>) => {
+      state.seed = action.payload;
+      state.shouldRandomizeSeed = false;
+    },
+    setImg2imgStrength: (state, action: PayloadAction<number>) => {
+      const img2imgStrength = action.payload;
+      const { steps, initialImagePath } = state;
+      state.img2imgStrength = img2imgStrength;
+      state.realSteps = calculateRealSteps(
+        steps,
+        img2imgStrength,
+        Boolean(initialImagePath)
+      );
+    },
+    setGfpganStrength: (state, action: PayloadAction<number>) => {
+      state.gfpganStrength = action.payload;
+    },
+    setUpscalingLevel: (state, action: PayloadAction<UpscalingLevel>) => {
+      state.upscalingLevel = action.payload;
+    },
+    setUpscalingStrength: (state, action: PayloadAction<number>) => {
+      state.upscalingStrength = action.payload;
+    },
+    setShouldUseInitImage: (state, action: PayloadAction<boolean>) => {
+      state.shouldUseInitImage = action.payload;
+    },
+    setInitialImagePath: (state, action: PayloadAction<string>) => {
+      const initialImagePath = action.payload;
+      const { steps, img2imgStrength } = state;
+      state.shouldUseInitImage = initialImagePath ? true : false;
+      state.initialImagePath = initialImagePath;
+      state.realSteps = calculateRealSteps(
+        steps,
+        img2imgStrength,
+        Boolean(initialImagePath)
+      );
+    },
+    setMaskPath: (state, action: PayloadAction<string>) => {
+      state.maskPath = action.payload;
+    },
+    setSeamless: (state, action: PayloadAction<boolean>) => {
+      state.seamless = action.payload;
+    },
+    setShouldFitToWidthHeight: (state, action: PayloadAction<boolean>) => {
+      state.shouldFitToWidthHeight = action.payload;
+    },
+    resetSeed: (state) => {
+      state.seed = -1;
+    },
+    randomizeSeed: (state) => {
+      state.seed = randomInt(NUMPY_RAND_MIN, NUMPY_RAND_MAX);
+    },
+    setParameter: (
+      state,
+      action: PayloadAction<{ key: string; value: string | number | boolean }>
+    ) => {
+      const { key, value } = action.payload;
+      const temp = { ...state, [key]: value };
+      if (key === 'seed') {
+        temp.shouldRandomizeSeed = false;
+      }
+      if (key === 'initialImagePath' && value === '') {
+        temp.shouldUseInitImage = false;
+      }
+      return temp;
+    },
+    setShouldGenerateVariations: (state, action: PayloadAction<boolean>) => {
+      state.shouldGenerateVariations = action.payload;
+    },
+    setVariantAmount: (state, action: PayloadAction<number>) => {
+      state.variantAmount = action.payload;
+    },
+    setSeedWeights: (state, action: PayloadAction<string>) => {
+      state.seedWeights = action.payload;
+    },
+    setAllParameters: (state, action: PayloadAction<SDMetadata>) => {
+      const {
+        prompt,
+        steps,
+        cfgScale,
+        height,
+        width,
+        sampler,
+        seed,
+        img2imgStrength,
+        gfpganStrength,
+        upscalingLevel,
+        upscalingStrength,
+        initialImagePath,
+        maskPath,
+        seamless,
+        shouldFitToWidthHeight,
+      } = action.payload;
+
+      // ?? = falsy values ('', 0, etc) are used
+      // || = falsy values not used
+      state.prompt = prompt ?? state.prompt;
+      state.steps = steps || state.steps;
+      state.cfgScale = cfgScale || state.cfgScale;
+      state.width = width || state.width;
+      state.height = height || state.height;
+      state.sampler = sampler || state.sampler;
+      state.seed = seed ?? state.seed;
+      state.seamless = seamless ?? state.seamless;
+      state.shouldFitToWidthHeight =
+        shouldFitToWidthHeight ?? state.shouldFitToWidthHeight;
+      state.img2imgStrength = img2imgStrength ?? state.img2imgStrength;
+      state.gfpganStrength = gfpganStrength ?? state.gfpganStrength;
+      state.upscalingLevel = upscalingLevel ?? state.upscalingLevel;
+      state.upscalingStrength = upscalingStrength ?? state.upscalingStrength;
+      state.initialImagePath = initialImagePath ?? state.initialImagePath;
+      state.maskPath = maskPath ?? state.maskPath;
+
+      // If the image whose parameters we are using has a seed, disable randomizing the seed
+      if (seed) {
+        state.shouldRandomizeSeed = false;
+      }
+
+      // if we have a gfpgan strength, enable it
+      state.shouldRunGFPGAN = gfpganStrength ? true : false;
+
+      // if we have a esrgan strength, enable it
+      state.shouldRunESRGAN = upscalingLevel ? true : false;
+
+      // if we want to recreate an image exactly, we disable variations
+      state.shouldGenerateVariations = false;
+
+      state.shouldUseInitImage = initialImagePath ? true : false;
+    },
+    resetSDState: (state) => {
+      return {
+        ...state,
+        ...initialSDState,
+      };
+    },
+    setShouldRunGFPGAN: (state, action: PayloadAction<boolean>) => {
+      state.shouldRunGFPGAN = action.payload;
+    },
+    setShouldRunESRGAN: (state, action: PayloadAction<boolean>) => {
+      state.shouldRunESRGAN = action.payload;
+    },
+    setShouldRandomizeSeed: (state, action: PayloadAction<boolean>) => {
+      state.shouldRandomizeSeed = action.payload;
+    },
+  },
+});
+
+export const {
+  setPrompt,
+  setIterations,
+  setSteps,
+  setCfgScale,
+  setHeight,
+  setWidth,
+  setSampler,
+  setSeed,
+  setSeamless,
+  setImg2imgStrength,
+  setGfpganStrength,
+  setUpscalingLevel,
+  setUpscalingStrength,
+  setShouldUseInitImage,
+  setInitialImagePath,
+  setMaskPath,
+  resetSeed,
+  randomizeSeed,
+  resetSDState,
+  setShouldFitToWidthHeight,
+  setParameter,
+  setShouldGenerateVariations,
+  setSeedWeights,
+  setVariantAmount,
+  setAllParameters,
+  setShouldRunGFPGAN,
+  setShouldRunESRGAN,
+  setShouldRandomizeSeed,
+} = sdSlice.actions;
+
+export default sdSlice.reducer;

frontend/src/features/sd/util/randomInt.ts

@@ -0,0 +1,5 @@
+const randomInt = (min: number, max: number): number => {
+  return Math.floor(Math.random() * (max - min + 1) + min);
+};
+
+export default randomInt;

frontend/src/features/sd/util/seedWeightPairs.ts

@@ -0,0 +1,56 @@
+export interface SeedWeightPair {
+    seed: number;
+    weight: number;
+}
+
+export type SeedWeights = Array<Array<number>>;
+
+export const stringToSeedWeights = (string: string): SeedWeights | boolean => {
+    const stringPairs = string.split(',');
+    const arrPairs = stringPairs.map((p) => p.split(':'));
+    const pairs = arrPairs.map((p) => {
+        return [parseInt(p[0]), parseFloat(p[1])];
+    });
+
+    if (!validateSeedWeights(pairs)) {
+        return false;
+    }
+
+    return pairs;
+};
+
+export const validateSeedWeights = (
+    seedWeights: SeedWeights | string
+): boolean => {
+    return typeof seedWeights === 'string'
+        ? Boolean(stringToSeedWeights(seedWeights))
+        : Boolean(
+              seedWeights.length &&
+                  !seedWeights.some((pair) => {
+                      const [seed, weight] = pair;
+                      const isSeedValid = !isNaN(parseInt(seed.toString(), 10));
+                      const isWeightValid =
+                          !isNaN(parseInt(weight.toString(), 10)) &&
+                          weight >= 0 &&
+                          weight <= 1;
+                      return !(isSeedValid && isWeightValid);
+                  })
+          );
+};
+
+export const seedWeightsToString = (
+    seedWeights: SeedWeights
+): string | boolean => {
+    if (!validateSeedWeights(seedWeights)) {
+        return false;
+    }
+
+    return seedWeights.reduce((acc, pair, i, arr) => {
+        const [seed, weight] = pair;
+        acc += `${seed}:${weight}`;
+        if (i !== arr.length - 1) {
+            acc += ',';
+        }
+        return acc;
+    }, '');
+};

frontend/src/features/system/LogViewer.tsx

@@ -0,0 +1,125 @@
+import {
+    IconButton,
+    useColorModeValue,
+    Flex,
+    Text,
+    Tooltip,
+} from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { setShouldShowLogViewer, SystemState } from './systemSlice';
+import { useLayoutEffect, useRef, useState } from 'react';
+import { FaAngleDoubleDown, FaCode, FaMinus } from 'react-icons/fa';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+
+const logSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => system.log,
+    {
+        memoizeOptions: {
+            resultEqualityCheck: (a, b) => a.length === b.length,
+        },
+    }
+);
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return { shouldShowLogViewer: system.shouldShowLogViewer };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const LogViewer = () => {
+    const dispatch = useAppDispatch();
+    const bg = useColorModeValue('gray.50', 'gray.900');
+    const borderColor = useColorModeValue('gray.500', 'gray.500');
+    const [shouldAutoscroll, setShouldAutoscroll] = useState<boolean>(true);
+
+    const log = useAppSelector(logSelector);
+    const { shouldShowLogViewer } = useAppSelector(systemSelector);
+
+    const viewerRef = useRef<HTMLDivElement>(null);
+
+    useLayoutEffect(() => {
+        if (viewerRef.current !== null && shouldAutoscroll) {
+            viewerRef.current.scrollTop = viewerRef.current.scrollHeight;
+        }
+    });
+
+    return (
+        <>
+            {shouldShowLogViewer && (
+                <Flex
+                    position={'fixed'}
+                    left={0}
+                    bottom={0}
+                    height='200px'
+                    width='100vw'
+                    overflow='auto'
+                    direction='column'
+                    fontFamily='monospace'
+                    fontSize='sm'
+                    pl={12}
+                    pr={2}
+                    pb={2}
+                    borderTopWidth='4px'
+                    borderColor={borderColor}
+                    background={bg}
+                    ref={viewerRef}
+                >
+                    {log.map((entry, i) => (
+                        <Flex gap={2} key={i}>
+                            <Text fontSize='sm' fontWeight={'semibold'}>
+                                {entry.timestamp}:
+                            </Text>
+                            <Text fontSize='sm' wordBreak={'break-all'}>
+                                {entry.message}
+                            </Text>
+                        </Flex>
+                    ))}
+                </Flex>
+            )}
+            {shouldShowLogViewer && (
+                <Tooltip
+                    label={
+                        shouldAutoscroll ? 'Autoscroll on' : 'Autoscroll off'
+                    }
+                >
+                    <IconButton
+                        size='sm'
+                        position={'fixed'}
+                        left={2}
+                        bottom={12}
+                        aria-label='Toggle autoscroll'
+                        variant={'solid'}
+                        colorScheme={shouldAutoscroll ? 'blue' : 'gray'}
+                        icon={<FaAngleDoubleDown />}
+                        onClick={() => setShouldAutoscroll(!shouldAutoscroll)}
+                    />
+                </Tooltip>
+            )}
+            <Tooltip label={shouldShowLogViewer ? 'Hide logs' : 'Show logs'}>
+                <IconButton
+                    size='sm'
+                    position={'fixed'}
+                    left={2}
+                    bottom={2}
+                    variant={'solid'}
+                    aria-label='Toggle Log Viewer'
+                    icon={shouldShowLogViewer ? <FaMinus /> : <FaCode />}
+                    onClick={() =>
+                        dispatch(setShouldShowLogViewer(!shouldShowLogViewer))
+                    }
+                />
+            </Tooltip>
+        </>
+    );
+};
+
+export default LogViewer;

frontend/src/features/system/SettingsModal.tsx

@@ -0,0 +1,170 @@
+import {
+    Flex,
+    FormControl,
+    FormLabel,
+    Heading,
+    HStack,
+    Modal,
+    ModalBody,
+    ModalCloseButton,
+    ModalContent,
+    ModalFooter,
+    ModalHeader,
+    ModalOverlay,
+    Switch,
+    Text,
+    useDisclosure,
+} from '@chakra-ui/react';
+import { useAppDispatch, useAppSelector } from '../../app/hooks';
+import {
+    setShouldConfirmOnDelete,
+    setShouldDisplayInProgress,
+    SystemState,
+} from './systemSlice';
+import { RootState } from '../../app/store';
+import SDButton from '../../components/SDButton';
+import { persistor } from '../../main';
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { cloneElement, ReactElement } from 'react';
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        const { shouldDisplayInProgress, shouldConfirmOnDelete } = system;
+        return { shouldDisplayInProgress, shouldConfirmOnDelete };
+    },
+    {
+        memoizeOptions: { resultEqualityCheck: isEqual },
+    }
+);
+
+type Props = {
+    children: ReactElement;
+};
+
+const SettingsModal = ({ children }: Props) => {
+    const {
+        isOpen: isSettingsModalOpen,
+        onOpen: onSettingsModalOpen,
+        onClose: onSettingsModalClose,
+    } = useDisclosure();
+
+    const {
+        isOpen: isRefreshModalOpen,
+        onOpen: onRefreshModalOpen,
+        onClose: onRefreshModalClose,
+    } = useDisclosure();
+
+    const { shouldDisplayInProgress, shouldConfirmOnDelete } =
+        useAppSelector(systemSelector);
+
+    const dispatch = useAppDispatch();
+
+    const handleClickResetWebUI = () => {
+        persistor.purge().then(() => {
+            onSettingsModalClose();
+            onRefreshModalOpen();
+        });
+    };
+
+    return (
+        <>
+            {cloneElement(children, {
+                onClick: onSettingsModalOpen,
+            })}
+
+            <Modal isOpen={isSettingsModalOpen} onClose={onSettingsModalClose}>
+                <ModalOverlay />
+                <ModalContent>
+                    <ModalHeader>Settings</ModalHeader>
+                    <ModalCloseButton />
+                    <ModalBody>
+                        <Flex gap={5} direction='column'>
+                            <FormControl>
+                                <HStack>
+                                    <FormLabel marginBottom={1}>
+                                        Display in-progress images (slower)
+                                    </FormLabel>
+                                    <Switch
+                                        isChecked={shouldDisplayInProgress}
+                                        onChange={(e) =>
+                                            dispatch(
+                                                setShouldDisplayInProgress(
+                                                    e.target.checked
+                                                )
+                                            )
+                                        }
+                                    />
+                                </HStack>
+                            </FormControl>
+                            <FormControl>
+                                <HStack>
+                                    <FormLabel marginBottom={1}>
+                                        Confirm on delete
+                                    </FormLabel>
+                                    <Switch
+                                        isChecked={shouldConfirmOnDelete}
+                                        onChange={(e) =>
+                                            dispatch(
+                                                setShouldConfirmOnDelete(
+                                                    e.target.checked
+                                                )
+                                            )
+                                        }
+                                    />
+                                </HStack>
+                            </FormControl>
+
+                            <Heading size={'md'}>Reset Web UI</Heading>
+                            <Text>
+                                Resetting the web UI only resets the browser's
+                                local cache of your images and remembered
+                                settings. It does not delete any images from
+                                disk.
+                            </Text>
+                            <Text>
+                                If images aren't showing up in the gallery or
+                                something else isn't working, please try
+                                resetting before submitting an issue on GitHub.
+                            </Text>
+                            <SDButton
+                                label='Reset Web UI'
+                                colorScheme='red'
+                                onClick={handleClickResetWebUI}
+                            />
+                        </Flex>
+                    </ModalBody>
+
+                    <ModalFooter>
+                        <SDButton
+                            label='Close'
+                            onClick={onSettingsModalClose}
+                        />
+                    </ModalFooter>
+                </ModalContent>
+            </Modal>
+
+            <Modal
+                closeOnOverlayClick={false}
+                isOpen={isRefreshModalOpen}
+                onClose={onRefreshModalClose}
+                isCentered
+            >
+                <ModalOverlay bg='blackAlpha.300' backdropFilter='blur(40px)' />
+                <ModalContent>
+                    <ModalBody pb={6} pt={6}>
+                        <Flex justifyContent={'center'}>
+                            <Text fontSize={'lg'}>
+                                Web UI has been reset. Refresh the page to
+                                reload.
+                            </Text>
+                        </Flex>
+                    </ModalBody>
+                </ModalContent>
+            </Modal>
+        </>
+    );
+};
+
+export default SettingsModal;

frontend/src/features/system/systemSlice.ts

@@ -0,0 +1,98 @@
+import { createSlice } from '@reduxjs/toolkit';
+import type { PayloadAction } from '@reduxjs/toolkit';
+import dateFormat from 'dateformat';
+import { ExpandedIndex } from '@chakra-ui/react';
+
+export interface LogEntry {
+  timestamp: string;
+  message: string;
+}
+
+export interface Log {
+  [index: number]: LogEntry;
+}
+
+export interface SystemState {
+  shouldDisplayInProgress: boolean;
+  isProcessing: boolean;
+  currentStep: number;
+  log: Array<LogEntry>;
+  shouldShowLogViewer: boolean;
+  isGFPGANAvailable: boolean;
+  isESRGANAvailable: boolean;
+  isConnected: boolean;
+  socketId: string;
+  shouldConfirmOnDelete: boolean;
+  openAccordions: ExpandedIndex;
+}
+
+const initialSystemState = {
+  isConnected: false,
+  isProcessing: false,
+  currentStep: 0,
+  log: [],
+  shouldShowLogViewer: false,
+  shouldDisplayInProgress: false,
+  isGFPGANAvailable: true,
+  isESRGANAvailable: true,
+  socketId: '',
+  shouldConfirmOnDelete: true,
+  openAccordions: [0],
+};
+
+const initialState: SystemState = initialSystemState;
+
+export const systemSlice = createSlice({
+  name: 'system',
+  initialState,
+  reducers: {
+    setShouldDisplayInProgress: (state, action: PayloadAction<boolean>) => {
+      state.shouldDisplayInProgress = action.payload;
+    },
+    setIsProcessing: (state, action: PayloadAction<boolean>) => {
+      state.isProcessing = action.payload;
+      if (action.payload === false) {
+        state.currentStep = 0;
+      }
+    },
+    setCurrentStep: (state, action: PayloadAction<number>) => {
+      state.currentStep = action.payload;
+    },
+    addLogEntry: (state, action: PayloadAction<string>) => {
+      const entry: LogEntry = {
+        timestamp: dateFormat(new Date(), 'isoDateTime'),
+        message: action.payload,
+      };
+      state.log.push(entry);
+    },
+    setShouldShowLogViewer: (state, action: PayloadAction<boolean>) => {
+      state.shouldShowLogViewer = action.payload;
+    },
+    setIsConnected: (state, action: PayloadAction<boolean>) => {
+      state.isConnected = action.payload;
+    },
+    setSocketId: (state, action: PayloadAction<string>) => {
+      state.socketId = action.payload;
+    },
+    setShouldConfirmOnDelete: (state, action: PayloadAction<boolean>) => {
+      state.shouldConfirmOnDelete = action.payload;
+    },
+    setOpenAccordions: (state, action: PayloadAction<ExpandedIndex>) => {
+      state.openAccordions = action.payload;
+    },
+  },
+});
+
+export const {
+  setShouldDisplayInProgress,
+  setIsProcessing,
+  setCurrentStep,
+  addLogEntry,
+  setShouldShowLogViewer,
+  setIsConnected,
+  setSocketId,
+  setShouldConfirmOnDelete,
+  setOpenAccordions,
+} = systemSlice.actions;
+
+export default systemSlice.reducer;

frontend/src/features/system/useCheckParameters.ts

@@ -0,0 +1,108 @@
+import { createSelector } from '@reduxjs/toolkit';
+import { isEqual } from 'lodash';
+import { useMemo } from 'react';
+import { useAppSelector } from '../../app/hooks';
+import { RootState } from '../../app/store';
+import { SDState } from '../sd/sdSlice';
+import { validateSeedWeights } from '../sd/util/seedWeightPairs';
+import { SystemState } from './systemSlice';
+
+const sdSelector = createSelector(
+    (state: RootState) => state.sd,
+    (sd: SDState) => {
+        return {
+            prompt: sd.prompt,
+            shouldGenerateVariations: sd.shouldGenerateVariations,
+            seedWeights: sd.seedWeights,
+            maskPath: sd.maskPath,
+            initialImagePath: sd.initialImagePath,
+            seed: sd.seed,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+const systemSelector = createSelector(
+    (state: RootState) => state.system,
+    (system: SystemState) => {
+        return {
+            isProcessing: system.isProcessing,
+            isConnected: system.isConnected,
+        };
+    },
+    {
+        memoizeOptions: {
+            resultEqualityCheck: isEqual,
+        },
+    }
+);
+
+/*
+Checks relevant pieces of state to confirm generation will not deterministically fail.
+
+This is used to prevent the 'Generate' button from being clicked.
+
+Other parameter values may cause failure but we rely on input validation for those.
+*/
+const useCheckParameters = () => {
+    const {
+        prompt,
+        shouldGenerateVariations,
+        seedWeights,
+        maskPath,
+        initialImagePath,
+        seed,
+    } = useAppSelector(sdSelector);
+
+    const { isProcessing, isConnected } = useAppSelector(systemSelector);
+
+    return useMemo(() => {
+        // Cannot generate without a prompt
+        if (!prompt) {
+            return false;
+        }
+
+        //  Cannot generate with a mask without img2img
+        if (maskPath && !initialImagePath) {
+            return false;
+        }
+
+        // TODO: job queue
+        // Cannot generate if already processing an image
+        if (isProcessing) {
+            return false;
+        }
+
+        // Cannot generate if not connected
+        if (!isConnected) {
+            return false;
+        }
+
+        // Cannot generate variations without valid seed weights
+        if (
+            shouldGenerateVariations &&
+            (!(validateSeedWeights(seedWeights) || seedWeights === '') ||
+                seed === -1)
+        ) {
+            return false;
+        }
+
+        // All good
+        return true;
+    }, [
+        prompt,
+        maskPath,
+        initialImagePath,
+        isProcessing,
+        isConnected,
+        shouldGenerateVariations,
+        seedWeights,
+        seed,
+    ]);
+};
+
+export default useCheckParameters;

frontend/src/main.tsx

@@ -0,0 +1,26 @@
+import React from 'react';
+import ReactDOM from 'react-dom/client';
+import { ChakraProvider, ColorModeScript } from '@chakra-ui/react';
+import { store } from './app/store';
+import { Provider } from 'react-redux';
+import { PersistGate } from 'redux-persist/integration/react';
+import { persistStore } from 'redux-persist';
+
+export const persistor = persistStore(store);
+
+import App from './App';
+import { theme } from './app/theme';
+import Loading from './Loading';
+
+ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(
+  <React.StrictMode>
+    <Provider store={store}>
+      <PersistGate loading={<Loading />} persistor={persistor}>
+        <ChakraProvider theme={theme}>
+          <ColorModeScript initialColorMode={theme.config.initialColorMode} />
+          <App />
+        </ChakraProvider>
+      </PersistGate>
+    </Provider>
+  </React.StrictMode>
+);

frontend/src/vite-env.d.ts

@@ -0,0 +1 @@
+/// <reference types="vite/client" />

frontend/tsconfig.json

@@ -0,0 +1,21 @@
+{
+  "compilerOptions": {
+    "target": "ESNext",
+    "useDefineForClassFields": true,
+    "lib": ["DOM", "DOM.Iterable", "ESNext"],
+    "allowJs": false,
+    "skipLibCheck": true,
+    "esModuleInterop": false,
+    "allowSyntheticDefaultImports": true,
+    "strict": true,
+    "forceConsistentCasingInFileNames": true,
+    "module": "ESNext",
+    "moduleResolution": "Node",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "noEmit": true,
+    "jsx": "react-jsx"
+  },
+  "include": ["src", "index.d.ts"],
+  "references": [{ "path": "./tsconfig.node.json" }]
+}

frontend/tsconfig.node.json

@@ -0,0 +1,9 @@
+{
+  "compilerOptions": {
+    "composite": true,
+    "module": "ESNext",
+    "moduleResolution": "Node",
+    "allowSyntheticDefaultImports": true
+  },
+  "include": ["vite.config.ts"]
+}

frontend/vite.config.ts

@@ -0,0 +1,36 @@
+import { defineConfig } from 'vite';
+import react from '@vitejs/plugin-react';
+import eslint from 'vite-plugin-eslint';
+
+// https://vitejs.dev/config/
+export default defineConfig(({ mode }) => {
+  const common = {
+    plugins: [react(), eslint()],
+    server: {
+      proxy: {
+        '/outputs': {
+          target: 'http://localhost:9090/outputs',
+          changeOrigin: true,
+          rewrite: (path) => path.replace(/^\/outputs/, ''),
+        },
+      },
+    },
+    build: {
+      target: 'esnext',
+      chunkSizeWarningLimit: 1500, // we don't really care about chunk size
+    },
+  };
+  if (mode == 'development') {
+    return {
+      ...common,
+      build: {
+        ...common.build,
+        // sourcemap: true, // this can be enabled if needed, it adds ovwer 15MB to the commit
+      },
+    };
+  } else {
+    return {
+      ...common,
+    };
+  }
+});

ldm/dream/pngwriter.py

@@ -58,6 +58,3 @@ def retrieve_metadata(img_path):
     md = im.text.get('sd-metadata',{})
     return json.loads(md)
 
-
-
-    

server/application.py

@@ -0,0 +1,149 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+"""Application module."""
+import argparse
+import json
+import os
+import sys
+from flask import Flask
+from flask_cors import CORS
+from flask_socketio import SocketIO, join_room, leave_room
+from omegaconf import OmegaConf
+from dependency_injector.wiring import inject, Provide
+from server import views
+from server.containers import Container
+from server.services import GeneratorService, SignalService
+
+# The socketio_service is injected here (rather than created in run_app) to initialize it
+@inject
+def initialize_app(
+  app: Flask,
+  socketio: SocketIO = Provide[Container.socketio]
+) -> SocketIO:
+  socketio.init_app(app)
+  
+  return socketio
+
+# The signal and generator services are injected to warm up the processing queues
+# TODO: Initialize these a better way?
+@inject
+def initialize_generator(
+  signal_service: SignalService = Provide[Container.signal_service],
+  generator_service: GeneratorService = Provide[Container.generator_service]
+):
+  pass
+
+
+def run_app(config, host, port) -> Flask:
+  app = Flask(__name__, static_url_path='')
+
+  # Set up dependency injection container
+  container = Container()
+  container.config.from_dict(config)
+  container.wire(modules=[__name__])
+  app.container = container
+  
+  # Set up CORS
+  CORS(app, resources={r'/api/*': {'origins': '*'}})
+
+  # Web Routes
+  app.add_url_rule('/', view_func=views.WebIndex.as_view('web_index', 'index.html'))
+  app.add_url_rule('/index.css', view_func=views.WebIndex.as_view('web_index_css', 'index.css'))
+  app.add_url_rule('/index.js', view_func=views.WebIndex.as_view('web_index_js', 'index.js'))
+  app.add_url_rule('/config.js', view_func=views.WebConfig.as_view('web_config'))
+
+  # API Routes
+  app.add_url_rule('/api/jobs', view_func=views.ApiJobs.as_view('api_jobs'))
+  app.add_url_rule('/api/cancel', view_func=views.ApiCancel.as_view('api_cancel'))
+
+  # TODO: Get storage root from config
+  app.add_url_rule('/api/images/<string:dreamId>', view_func=views.ApiImages.as_view('api_images', '../'))
+  app.add_url_rule('/api/intermediates/<string:dreamId>/<string:step>', view_func=views.ApiIntermediates.as_view('api_intermediates', '../'))
+
+  app.static_folder = os.path.abspath(os.path.join(os.path.dirname(__file__), '../static/dream_web/')) 
+
+  # Initialize
+  socketio = initialize_app(app)
+  initialize_generator()
+
+  print(">> Started Stable Diffusion api server!")
+  if  host == '0.0.0.0':
+    print(f"Point your browser at http://localhost:{port} or use the host's DNS name or IP address.")
+  else:
+    print(">> Default host address now 127.0.0.1 (localhost). Use --host 0.0.0.0 to bind any address.")
+    print(f">> Point your browser at http://{host}:{port}.")
+
+  # Run the app
+  socketio.run(app, host, port)
+
+
+def main():
+  """Initialize command-line parsers and the diffusion model"""
+  from scripts.dream import create_argv_parser
+  arg_parser = create_argv_parser()
+  opt = arg_parser.parse_args()
+
+  if opt.laion400m:
+    print('--laion400m flag has been deprecated. Please use --model laion400m instead.')
+    sys.exit(-1)
+  if opt.weights != 'model':
+    print('--weights argument has been deprecated. Please configure ./configs/models.yaml, and call it using --model instead.')
+    sys.exit(-1)
+      
+  try:
+    models  = OmegaConf.load(opt.config)
+    width   = models[opt.model].width
+    height  = models[opt.model].height
+    config  = models[opt.model].config
+    weights = models[opt.model].weights
+  except (FileNotFoundError, IOError, KeyError) as e:
+    print(f'{e}. Aborting.')
+    sys.exit(-1)
+
+  print('* Initializing, be patient...\n')
+  sys.path.append('.')
+  from pytorch_lightning import logging
+
+  # these two lines prevent a horrible warning message from appearing
+  # when the frozen CLIP tokenizer is imported
+  import transformers
+
+  transformers.logging.set_verbosity_error()
+
+  appConfig = {
+    "model": {
+      "width": width,
+      "height": height,
+      "sampler_name": opt.sampler_name,
+      "weights": weights,
+      "full_precision": opt.full_precision,
+      "config": config,
+      "grid": opt.grid,
+      "latent_diffusion_weights": opt.laion400m,
+      "embedding_path": opt.embedding_path,
+      "device_type": opt.device
+    }
+  }
+
+  # make sure the output directory exists
+  if not os.path.exists(opt.outdir):
+    os.makedirs(opt.outdir)
+
+  # gets rid of annoying messages about random seed
+  logging.getLogger('pytorch_lightning').setLevel(logging.ERROR)
+
+  print('\n* starting api server...')
+  # Change working directory to the stable-diffusion directory
+  os.chdir(
+    os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
+  )
+
+  # Start server
+  try:
+    run_app(appConfig, opt.host, opt.port)
+  except KeyboardInterrupt:
+    pass
+
+
+if __name__ == '__main__':
+  main()

server/containers.py

@@ -0,0 +1,75 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+"""Containers module."""
+
+from dependency_injector import containers, providers
+from flask_socketio import SocketIO
+from ldm.generate import Generate
+from server import services
+
+class Container(containers.DeclarativeContainer):
+  wiring_config = containers.WiringConfiguration(packages=['server'])
+
+  config = providers.Configuration()
+
+  socketio = providers.ThreadSafeSingleton(
+    SocketIO,
+    app = None
+  )
+
+  model_singleton = providers.ThreadSafeSingleton(
+    Generate,
+    width = config.model.width,
+    height = config.model.height,
+    sampler_name = config.model.sampler_name,
+    weights = config.model.weights,
+    full_precision = config.model.full_precision,
+    config = config.model.config,
+    grid = config.model.grid,
+    seamless = config.model.seamless,
+    embedding_path = config.model.embedding_path,
+    device_type = config.model.device_type
+  )
+
+  # TODO: get location from config
+  image_storage_service = providers.ThreadSafeSingleton(
+    services.ImageStorageService,
+    './outputs/img-samples/'
+  )
+
+  # TODO: get location from config
+  image_intermediates_storage_service = providers.ThreadSafeSingleton(
+    services.ImageStorageService,
+    './outputs/intermediates/'
+  )
+
+  signal_queue_service = providers.ThreadSafeSingleton(
+    services.SignalQueueService
+  )
+
+  signal_service = providers.ThreadSafeSingleton(
+    services.SignalService,
+    socketio = socketio,
+    queue = signal_queue_service
+  )
+
+  generation_queue_service = providers.ThreadSafeSingleton(
+    services.JobQueueService
+  )
+
+  # TODO: get locations from config
+  log_service = providers.ThreadSafeSingleton(
+    services.LogService,
+    './outputs/img-samples/',
+    'dream_web_log.txt'
+  )
+
+  generator_service = providers.ThreadSafeSingleton(
+    services.GeneratorService,
+    model = model_singleton,
+    queue = generation_queue_service,
+    imageStorage = image_storage_service,
+    intermediateStorage = image_intermediates_storage_service,
+    log = log_service,
+    signal_service = signal_service
+  )

server/models.py

@@ -0,0 +1,128 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+import json
+import string
+from copy import deepcopy
+from datetime import datetime, timezone
+from enum import Enum
+
+class DreamRequest():
+  prompt: string
+  initimg: string
+  strength: float
+  iterations: int
+  steps: int
+  width: int
+  height: int
+  fit = None
+  cfgscale: float
+  sampler_name: string
+  gfpgan_strength: float
+  upscale_level: int
+  upscale_strength: float
+  upscale: None
+  progress_images = None
+  seed: int
+  time: int
+
+  # TODO: use something else for state tracking
+  images_generated: int = 0
+  images_upscaled: int = 0
+
+  def id(self, seed = None, upscaled = False) -> str:
+    return f"{self.time}.{seed or self.seed}{'.u' if upscaled else ''}"
+
+  # TODO: handle this more cleanly (probably by splitting this into a Job and Result class)
+  # TODO: Set iterations to 1 or remove it from the dream result? And just keep it on the job?
+  def clone_without_image(self, seed = None):
+    data = deepcopy(self)
+    data.initimg = None
+    if seed:
+      data.seed = seed
+
+    return data
+
+  def to_json(self, seed: int = None):
+    copy = self.clone_without_image(seed)
+    return json.dumps(copy.__dict__)
+
+  @staticmethod
+  def from_json(j, newTime: bool = False):
+    d = DreamRequest()
+    d.prompt = j.get('prompt')
+    d.initimg = j.get('initimg')
+    d.strength = float(j.get('strength'))
+    d.iterations = int(j.get('iterations'))
+    d.steps = int(j.get('steps'))
+    d.width = int(j.get('width'))
+    d.height = int(j.get('height'))
+    d.fit    = 'fit' in j
+    d.seamless = 'seamless' in j
+    d.cfgscale = float(j.get('cfgscale'))
+    d.sampler_name  = j.get('sampler')
+    d.variation_amount = float(j.get('variation_amount'))
+    d.with_variations = j.get('with_variations')
+    d.gfpgan_strength = float(j.get('gfpgan_strength'))
+    d.upscale_level    = j.get('upscale_level')
+    d.upscale_strength = j.get('upscale_strength')
+    d.upscale = [int(d.upscale_level),float(d.upscale_strength)] if d.upscale_level != '' else None
+    d.progress_images = 'progress_images' in j
+    d.seed = int(j.get('seed'))
+    d.time = int(datetime.now(timezone.utc).timestamp()) if newTime else int(j.get('time'))
+    return d
+
+
+class ProgressType(Enum):
+  GENERATION = 1
+  UPSCALING_STARTED = 2
+  UPSCALING_DONE = 3
+
+class Signal():
+  event: str
+  data = None
+  room: str = None
+  broadcast: bool = False
+
+  def __init__(self, event: str, data, room: str = None, broadcast: bool = False):
+    self.event = event
+    self.data = data
+    self.room = room
+    self.broadcast = broadcast
+
+  @staticmethod
+  def image_progress(jobId: str, dreamId: str, step: int, totalSteps: int, progressType: ProgressType = ProgressType.GENERATION, hasProgressImage: bool = False):
+    return Signal('dream_progress', {
+      'jobId': jobId,
+      'dreamId': dreamId,
+      'step': step,
+      'totalSteps': totalSteps,
+      'hasProgressImage': hasProgressImage,
+      'progressType': progressType.name
+    }, room=jobId, broadcast=True)
+
+  # TODO: use a result id or something? Like a sub-job
+  @staticmethod
+  def image_result(jobId: str, dreamId: str, dreamRequest: DreamRequest):
+    return Signal('dream_result', {
+      'jobId': jobId,
+      'dreamId': dreamId,
+      'dreamRequest': dreamRequest.__dict__
+    }, room=jobId, broadcast=True)
+
+  @staticmethod
+  def job_started(jobId: str):
+    return Signal('job_started', {
+      'jobId': jobId
+    }, room=jobId, broadcast=True)
+    
+  @staticmethod
+  def job_done(jobId: str):
+    return Signal('job_done', {
+      'jobId': jobId
+    }, room=jobId, broadcast=True)
+
+  @staticmethod
+  def job_canceled(jobId: str):
+    return Signal('job_canceled', {
+      'jobId': jobId
+    }, room=jobId, broadcast=True)

server/services.py

@@ -0,0 +1,265 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+import base64
+import os
+from queue import Empty, Queue
+from threading import Thread
+import time
+from flask import app, url_for
+from flask_socketio import SocketIO, join_room, leave_room
+
+from ldm.dream.pngwriter import PngWriter
+from ldm.dream.server import CanceledException
+from ldm.generate import Generate
+from server.models import DreamRequest, ProgressType, Signal
+
+class JobQueueService:
+  __queue: Queue = Queue()
+
+  def push(self, dreamRequest: DreamRequest):
+    self.__queue.put(dreamRequest)
+
+  def get(self, timeout: float = None) -> DreamRequest:
+    return self.__queue.get(timeout= timeout)
+
+class SignalQueueService:
+  __queue: Queue = Queue()
+
+  def push(self, signal: Signal):
+    self.__queue.put(signal)
+
+  def get(self) -> Signal:
+    return self.__queue.get(block=False)
+
+
+class SignalService:
+  __socketio: SocketIO
+  __queue: SignalQueueService
+
+  def __init__(self, socketio: SocketIO, queue: SignalQueueService):
+    self.__socketio = socketio
+    self.__queue = queue
+
+    def on_join(data):
+      room = data['room']
+      join_room(room)
+      self.__socketio.emit("test", "something", room=room)
+      
+    def on_leave(data):
+      room = data['room']
+      leave_room(room)
+
+    self.__socketio.on_event('join_room', on_join)
+    self.__socketio.on_event('leave_room', on_leave)
+
+    self.__socketio.start_background_task(self.__process)
+
+  def __process(self):
+    # preload the model
+    print('Started signal queue processor')
+    try:
+      while True:
+        try:
+          signal = self.__queue.get()
+          self.__socketio.emit(signal.event, signal.data, room=signal.room, broadcast=signal.broadcast)
+        except Empty:
+          pass
+        finally:
+          self.__socketio.sleep(0.001)
+
+    except KeyboardInterrupt:
+        print('Signal queue processor stopped')
+
+
+  def emit(self, signal: Signal):
+    self.__queue.push(signal)
+
+
+# TODO: Name this better?
+# TODO: Logging and signals should probably be event based (multiple listeners for an event)
+class LogService:
+  __location: str
+  __logFile: str
+
+  def __init__(self, location:str, file:str):
+    self.__location = location
+    self.__logFile = file
+
+  def log(self, dreamRequest: DreamRequest, seed = None, upscaled = False):
+    with open(os.path.join(self.__location, self.__logFile), "a") as log:
+      log.write(f"{dreamRequest.id(seed, upscaled)}: {dreamRequest.to_json(seed)}\n")
+
+
+class ImageStorageService:
+  __location: str
+  __pngWriter: PngWriter
+
+  def __init__(self, location):
+    self.__location = location
+    self.__pngWriter = PngWriter(self.__location)
+
+  def __getName(self, dreamId: str, postfix: str = '') -> str:
+    return f'{dreamId}{postfix}.png'
+
+  def save(self, image, dreamRequest, seed = None, upscaled = False, postfix: str = '', metadataPostfix: str = '') -> str:
+    name = self.__getName(dreamRequest.id(seed, upscaled), postfix)
+    path = self.__pngWriter.save_image_and_prompt_to_png(image, f'{dreamRequest.prompt} -S{seed or dreamRequest.seed}{metadataPostfix}', name)
+    return path
+
+  def path(self, dreamId: str, postfix: str = '') -> str:
+    name = self.__getName(dreamId, postfix)
+    path = os.path.join(self.__location, name)
+    return path
+
+
+class GeneratorService:
+  __model: Generate
+  __queue: JobQueueService
+  __imageStorage: ImageStorageService
+  __intermediateStorage: ImageStorageService
+  __log: LogService
+  __thread: Thread
+  __cancellationRequested: bool = False
+  __signal_service: SignalService
+
+  def __init__(self, model: Generate, queue: JobQueueService, imageStorage: ImageStorageService, intermediateStorage: ImageStorageService, log: LogService, signal_service: SignalService):
+    self.__model = model
+    self.__queue = queue
+    self.__imageStorage = imageStorage
+    self.__intermediateStorage = intermediateStorage
+    self.__log = log
+    self.__signal_service = signal_service
+
+    # Create the background thread
+    self.__thread = Thread(target=self.__process, name = "GeneratorService")
+    self.__thread.daemon = True
+    self.__thread.start()
+
+
+  # Request cancellation of the current job
+  def cancel(self):
+    self.__cancellationRequested = True
+
+
+  # TODO: Consider moving this to its own service if there's benefit in separating the generator
+  def __process(self):
+    # preload the model
+    print('Preloading model')
+
+    tic = time.time()
+    self.__model.load_model()
+    print(
+      f'>> model loaded in', '%4.2fs' % (time.time() - tic)
+    )
+
+    print('Started generation queue processor')
+    try:
+      while True:
+        dreamRequest = self.__queue.get()
+        self.__generate(dreamRequest)
+
+    except KeyboardInterrupt:
+        print('Generation queue processor stopped')
+
+
+  def __start(self, dreamRequest: DreamRequest):
+    if dreamRequest.start_callback:
+      dreamRequest.start_callback()
+    self.__signal_service.emit(Signal.job_started(dreamRequest.id()))
+
+
+  def __done(self, dreamRequest: DreamRequest, image, seed, upscaled=False):
+    self.__imageStorage.save(image, dreamRequest, seed, upscaled)
+    
+
+    # TODO: handle upscaling logic better (this is appending data to log, but only on first generation)
+    if not upscaled:
+      self.__log.log(dreamRequest, seed, upscaled)
+
+    self.__signal_service.emit(Signal.image_result(dreamRequest.id(), dreamRequest.id(seed, upscaled), dreamRequest.clone_without_image(seed)))
+
+    upscaling_requested = dreamRequest.upscale or dreamRequest.gfpgan_strength>0
+    
+    if upscaled:
+      dreamRequest.images_upscaled += 1
+    else:
+      dreamRequest.images_generated +=1
+    if upscaling_requested:
+    #     action = None
+      if dreamRequest.images_generated >= dreamRequest.iterations:
+        progressType = ProgressType.UPSCALING_DONE
+        if dreamRequest.images_upscaled < dreamRequest.iterations:
+          progressType = ProgressType.UPSCALING_STARTED
+        self.__signal_service.emit(Signal.image_progress(dreamRequest.id(), dreamRequest.id(seed), dreamRequest.images_upscaled+1, dreamRequest.iterations, progressType))
+
+
+  def __progress(self, dreamRequest, sample, step):
+    if self.__cancellationRequested:
+      self.__cancellationRequested = False
+      raise CanceledException
+
+    hasProgressImage = False
+    if dreamRequest.progress_images and step % 5 == 0 and step < dreamRequest.steps - 1:
+      image = self.__model._sample_to_image(sample)
+      self.__intermediateStorage.save(image, dreamRequest, self.__model.seed, postfix=f'.{step}', metadataPostfix=f' [intermediate]')
+      hasProgressImage = True
+
+    self.__signal_service.emit(Signal.image_progress(dreamRequest.id(), dreamRequest.id(self.__model.seed), step, dreamRequest.steps, ProgressType.GENERATION, hasProgressImage))
+
+
+  def __generate(self, dreamRequest: DreamRequest):
+    try:
+      initimgfile = None
+      if dreamRequest.initimg is not None:
+        with open("./img2img-tmp.png", "wb") as f:
+          initimg = dreamRequest.initimg.split(",")[1] # Ignore mime type
+          f.write(base64.b64decode(initimg))
+          initimgfile = "./img2img-tmp.png"
+
+      # Get a random seed if we don't have one yet
+      # TODO: handle "previous" seed usage?
+      if dreamRequest.seed == -1:
+        dreamRequest.seed = self.__model.seed
+
+      # Zero gfpgan strength if the model doesn't exist
+      # TODO: determine if this could be at the top now? Used to cause circular import
+      from ldm.gfpgan.gfpgan_tools import gfpgan_model_exists
+      if not gfpgan_model_exists:
+        dreamRequest.gfpgan_strength = 0
+
+      self.__start(dreamRequest)
+
+      self.__model.prompt2image(
+        prompt           = dreamRequest.prompt,
+        init_img         = initimgfile, # TODO: ensure this works
+        strength         = None if initimgfile is None else dreamRequest.strength,
+        fit              = None if initimgfile is None else dreamRequest.fit,
+        iterations       = dreamRequest.iterations,
+        cfg_scale        = dreamRequest.cfgscale,
+        width            = dreamRequest.width,
+        height           = dreamRequest.height,
+        seed             = dreamRequest.seed,
+        steps            = dreamRequest.steps,
+        variation_amount = dreamRequest.variation_amount,
+        with_variations  = dreamRequest.with_variations,
+        gfpgan_strength  = dreamRequest.gfpgan_strength,
+        upscale          = dreamRequest.upscale,
+        sampler_name     = dreamRequest.sampler_name,
+        seamless         = dreamRequest.seamless,
+        step_callback    = lambda sample, step: self.__progress(dreamRequest, sample, step),
+        image_callback   = lambda image, seed, upscaled=False: self.__done(dreamRequest, image, seed, upscaled))
+
+    except CanceledException:
+      if dreamRequest.cancelled_callback:
+        dreamRequest.cancelled_callback()
+        
+      self.__signal_service.emit(Signal.job_canceled(dreamRequest.id()))
+
+    finally:
+      if dreamRequest.done_callback:
+        dreamRequest.done_callback()
+      self.__signal_service.emit(Signal.job_done(dreamRequest.id()))
+
+      # Remove the temp file
+      if (initimgfile is not None):
+        os.remove("./img2img-tmp.png")

server/views.py

@@ -0,0 +1,99 @@
+# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
+
+"""Views module."""
+import json
+import os
+from queue import Queue
+from flask import current_app, jsonify, request, Response, send_from_directory, stream_with_context, url_for
+from flask.views import MethodView
+from dependency_injector.wiring import inject, Provide
+
+from server.models import DreamRequest
+from server.services import GeneratorService, ImageStorageService, JobQueueService
+from server.containers import Container
+
+class ApiJobs(MethodView):
+
+  @inject
+  def post(self, job_queue_service: JobQueueService = Provide[Container.generation_queue_service]):
+    dreamRequest = DreamRequest.from_json(request.json, newTime = True)
+
+    #self.canceled.clear()
+    print(f">> Request to generate with prompt: {dreamRequest.prompt}")
+
+    q = Queue()
+
+    dreamRequest.start_callback = None
+    dreamRequest.image_callback = None
+    dreamRequest.progress_callback = None
+    dreamRequest.cancelled_callback = None
+    dreamRequest.done_callback = None
+
+    # Push the request
+    job_queue_service.push(dreamRequest)
+
+    return { 'dreamId': dreamRequest.id() }
+  
+
+class WebIndex(MethodView):
+  init_every_request = False
+  __file: str = None
+  
+  def __init__(self, file):
+    self.__file = file
+
+  def get(self):
+    return current_app.send_static_file(self.__file)
+
+
+class WebConfig(MethodView):
+  init_every_request = False
+
+  def get(self):
+    # unfortunately this import can't be at the top level, since that would cause a circular import
+    from ldm.gfpgan.gfpgan_tools import gfpgan_model_exists
+    config = {
+        'gfpgan_model_exists': gfpgan_model_exists
+    }
+    js = f"let config = {json.dumps(config)};\n"
+    return Response(js, mimetype="application/javascript")
+
+
+class ApiCancel(MethodView):
+  init_every_request = False
+  
+  @inject
+  def get(self, generator_service: GeneratorService = Provide[Container.generator_service]):
+    generator_service.cancel()
+    return Response(status=204)
+
+
+class ApiImages(MethodView):
+  init_every_request = False
+  __pathRoot = None
+  __storage: ImageStorageService
+
+  @inject
+  def __init__(self, pathBase, storage: ImageStorageService = Provide[Container.image_storage_service]):
+    self.__pathRoot = os.path.abspath(os.path.join(os.path.dirname(__file__), pathBase))
+    self.__storage = storage
+
+  def get(self, dreamId):
+    name = self.__storage.path(dreamId)
+    fullpath=os.path.join(self.__pathRoot, name)
+    return send_from_directory(os.path.dirname(fullpath), os.path.basename(fullpath))
+
+class ApiIntermediates(MethodView):
+  init_every_request = False
+  __pathRoot = None
+  __storage: ImageStorageService = Provide[Container.image_intermediates_storage_service]
+
+  @inject
+  def __init__(self, pathBase, storage: ImageStorageService = Provide[Container.image_intermediates_storage_service]):
+    self.__pathRoot = os.path.abspath(os.path.join(os.path.dirname(__file__), pathBase))
+    self.__storage = storage
+
+  def get(self, dreamId, step):
+    name = self.__storage.path(dreamId, postfix=f'.{step}')
+    fullpath=os.path.join(self.__pathRoot, name)
+    return send_from_directory(os.path.dirname(fullpath), os.path.basename(fullpath))

static/dream_web/index.html

@@ -2,11 +2,13 @@
   <head>
     <title>Stable Diffusion Dream Server</title>
     <meta charset="utf-8">
-    <link rel="icon" type="image/x-icon" href="static/dream_web/favicon.ico" />
+    <link rel="icon" href="data:,">
     <meta name="viewport" content="width=device-width, initial-scale=1.0">
-    <link rel="stylesheet" href="static/dream_web/index.css">
+
+    <link rel="stylesheet" href="index.css">
     <script src="config.js"></script>
-    <script src="static/dream_web/index.js"></script>
+    <script src="https://cdnjs.cloudflare.com/ajax/libs/socket.io/4.0.1/socket.io.js" integrity="sha512-q/dWJ3kcmjBLU4Qc47E4A9kTB4m3wuTY7vkFJDTZKjTs8jhyGQnaUrxa0Ytd0ssMZhbNua9hE+E7Qv1j+DyZwA==" crossorigin="anonymous"></script>
+    <script src="index.js"></script>
   </head>
   <body>
     <header>
@@ -17,8 +19,8 @@
     </header>
 
     <main>
-      <form id="generate-form" method="post" action="#">
-	<fieldset id="txt2img">
+      <form id="generate-form" method="post" action="api/jobs">
+	    <fieldset id="txt2img">
           <div id="search-box">
             <textarea rows="3" id="prompt" name="prompt"></textarea>
             <input type="submit" id="submit" value="Generate">
@@ -30,10 +32,10 @@
           <input value="1" type="number" id="iterations" name="iterations" size="4">
           <label for="steps">Steps:</label>
           <input value="50" type="number" id="steps" name="steps">
-          <label for="cfg_scale">Cfg Scale:</label>
-          <input value="7.5" type="number" id="cfg_scale" name="cfg_scale" step="any">
-          <label for="sampler_name">Sampler:</label>
-          <select id="sampler_name" name="sampler_name" value="k_lms">
+          <label for="cfgscale">Cfg Scale:</label>
+          <input value="7.5" type="number" id="cfgscale" name="cfgscale" step="any">
+          <label for="sampler">Sampler:</label>
+          <select id="sampler" name="sampler" value="k_lms">
             <option value="ddim">DDIM</option>
             <option value="plms">PLMS</option>
             <option value="k_lms" selected>KLMS</option>
@@ -68,8 +70,8 @@
             <option value="832">832</option> <option value="896">896</option>
             <option value="960">960</option> <option value="1024">1024</option>
           </select>
-          <label title="Set to -1 for random seed" for="seed">Seed:</label>
-          <input value="-1" type="number" id="seed" name="seed">
+          <label title="Set to 0 for random seed" for="seed">Seed:</label>
+          <input value="0" type="number" id="seed" name="seed">
           <button type="button" id="reset-seed">&olarr;</button>
           <input type="checkbox" name="progress_images" id="progress_images">
 	  <label for="progress_images">Display in-progress images (slower)</label>
@@ -114,7 +116,7 @@
           <br>
           <img id="progress-image" src='data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>'>
           <div id="scaling-inprocess-message">
-            <i><span>Postprocessing...</span><span id="processing_cnt">1/3</span></i>
+            <i><span>Postprocessing...</span><span id="processing_cnt">1</span>/<span id="processing_total">3</span></i>
           </div>
         </span>
       </section>

static/dream_web/index.js

@@ -1,3 +1,41 @@
+const socket = io();
+
+function resetForm() {
+  var form = document.getElementById('generate-form');
+  form.querySelector('fieldset').removeAttribute('disabled');
+}
+
+function initProgress(totalSteps, showProgressImages) {
+  // TODO: Progress could theoretically come from multiple jobs at the same time (in the future)
+  let progressSectionEle = document.querySelector('#progress-section');
+  progressSectionEle.style.display = 'initial';
+  let progressEle = document.querySelector('#progress-bar');
+  progressEle.setAttribute('max', totalSteps);
+
+  let progressImageEle = document.querySelector('#progress-image');
+  progressImageEle.src = BLANK_IMAGE_URL;
+  progressImageEle.style.display = showProgressImages ? 'initial': 'none';
+}
+
+function setProgress(step, totalSteps, src) {
+  let progressEle = document.querySelector('#progress-bar');
+  progressEle.setAttribute('value', step);
+
+  if (src) {
+    let progressImageEle = document.querySelector('#progress-image');
+    progressImageEle.src = src;
+  }
+}
+
+function resetProgress(hide = true) {
+  if (hide) {
+    let progressSectionEle = document.querySelector('#progress-section');
+    progressSectionEle.style.display = 'none';
+  }
+  let progressEle = document.querySelector('#progress-bar');
+  progressEle.setAttribute('value', 0);
+}
+
 function toBase64(file) {
     return new Promise((resolve, reject) => {
         const r = new FileReader();
@@ -9,29 +47,17 @@ function toBase64(file) {
 
 function appendOutput(src, seed, config) {
     let outputNode = document.createElement("figure");
-    
-    let variations = config.with_variations;
-    if (config.variation_amount > 0) {
-        variations = (variations ? variations + ',' : '') + seed + ':' + config.variation_amount;
-    }
-    let baseseed = (config.with_variations || config.variation_amount > 0) ? config.seed : seed;
-    let altText = baseseed + ' | ' + (variations ? variations + ' | ' : '') + config.prompt;
+    let altText = seed.toString() + " | " + config.prompt;
 
-    // img needs width and height for lazy loading to work
     const figureContents = `
         <a href="${src}" target="_blank">
-            <img src="${src}"
-                 alt="${altText}"
-                 title="${altText}"
-                 loading="lazy"
-                 width="256"
-                 height="256">
+            <img src="${src}" alt="${altText}" title="${altText}">
         </a>
         <figcaption>${seed}</figcaption>
     `;
 
     outputNode.innerHTML = figureContents;
-    let figcaption = outputNode.querySelector('figcaption');
+    let figcaption = outputNode.querySelector('figcaption')
 
     // Reload image config
     figcaption.addEventListener('click', () => {
@@ -40,17 +66,28 @@ function appendOutput(src, seed, config) {
             if (k == 'initimg') { continue; }
             form.querySelector(`*[name=${k}]`).value = config[k];
         }
+        if (config.variation_amount > 0 || config.with_variations != '') {
+            document.querySelector("#seed").value = config.seed;
+        } else {
+            document.querySelector("#seed").value = seed;
+        }
 
-        document.querySelector("#seed").value = baseseed;
-        document.querySelector("#with_variations").value = variations || '';
-        if (document.querySelector("#variation_amount").value <= 0) {
-            document.querySelector("#variation_amount").value = 0.2;
+        if (config.variation_amount > 0) {
+            let oldVarAmt = document.querySelector("#variation_amount").value
+            let oldVariations = document.querySelector("#with_variations").value
+            let varSep = ''
+            document.querySelector("#variation_amount").value = 0;
+            if (document.querySelector("#with_variations").value != '') {
+                varSep = ","
+            }
+            document.querySelector("#with_variations").value = oldVariations + varSep + seed + ':' + config.variation_amount
         }
 
         saveFields(document.querySelector("#generate-form"));
     });
 
     document.querySelector("#results").prepend(outputNode);
+    document.querySelector("#no-results-message")?.remove();
 }
 
 function saveFields(form) {
@@ -79,9 +116,8 @@ function clearFields(form) {
 
 const BLANK_IMAGE_URL = 'data:image/svg+xml,<svg xmlns="http://www.w3.org/2000/svg"/>';
 async function generateSubmit(form) {
-    const prompt = document.querySelector("#prompt").value;
-
     // Convert file data to base64
+    // TODO: Should probably uplaod files with formdata or something, and store them in the backend?
     let formData = Object.fromEntries(new FormData(form));
     formData.initimg_name = formData.initimg.name
     formData.initimg = formData.initimg.name !== '' ? await toBase64(formData.initimg) : null;
@@ -89,90 +125,75 @@ async function generateSubmit(form) {
     let strength = formData.strength;
     let totalSteps = formData.initimg ? Math.floor(strength * formData.steps) : formData.steps;
 
-    let progressSectionEle = document.querySelector('#progress-section');
-    progressSectionEle.style.display = 'initial';
-    let progressEle = document.querySelector('#progress-bar');
-    progressEle.setAttribute('max', totalSteps);
-    let progressImageEle = document.querySelector('#progress-image');
-    progressImageEle.src = BLANK_IMAGE_URL;
+    // Initialize the progress bar
+    initProgress(totalSteps);
 
-    progressImageEle.style.display = {}.hasOwnProperty.call(formData, 'progress_images') ? 'initial': 'none';
-
-    // Post as JSON, using Fetch streaming to get results
+    // POST, use response to listen for events
     fetch(form.action, {
         method: form.method,
+        headers: new Headers({'content-type': 'application/json'}),
         body: JSON.stringify(formData),
-    }).then(async (response) => {
-        const reader = response.body.getReader();
-
-        let noOutputs = true;
-        while (true) {
-            let {value, done} = await reader.read();
-            value = new TextDecoder().decode(value);
-            if (done) {
-                progressSectionEle.style.display = 'none';
-                break;
-            }
-
-            for (let event of value.split('\n').filter(e => e !== '')) {
-                const data = JSON.parse(event);
-
-                if (data.event === 'result') {
-                    noOutputs = false;
-                    appendOutput(data.url, data.seed, data.config);
-                    progressEle.setAttribute('value', 0);
-                    progressEle.setAttribute('max', totalSteps);
-                } else if (data.event === 'upscaling-started') {
-                    document.getElementById("processing_cnt").textContent=data.processed_file_cnt;
-                    document.getElementById("scaling-inprocess-message").style.display = "block";
-                } else if (data.event === 'upscaling-done') {
-                    document.getElementById("scaling-inprocess-message").style.display = "none";
-                } else if (data.event === 'step') {
-                    progressEle.setAttribute('value', data.step);
-                    if (data.url) {
-                        progressImageEle.src = data.url;
-                    }
-                } else if (data.event === 'canceled') {
-                    // avoid alerting as if this were an error case
-                    noOutputs = false;
-                }
-            }
-        }
-
-        // Re-enable form, remove no-results-message
-        form.querySelector('fieldset').removeAttribute('disabled');
-        document.querySelector("#prompt").value = prompt;
-        document.querySelector('progress').setAttribute('value', '0');
-
-        if (noOutputs) {
-            alert("Error occurred while generating.");
-        }
+    })
+    .then(response => response.json())
+    .then(data => {
+        var dreamId = data.dreamId;
+        socket.emit('join_room', { 'room': dreamId });
     });
 
-    // Disable form while generating
     form.querySelector('fieldset').setAttribute('disabled','');
-    document.querySelector("#prompt").value = `Generating: "${prompt}"`;
 }
 
-async function fetchRunLog() {
-    try {
-        let response = await fetch('/run_log.json')
-        const data = await response.json();
-        for(let item of data.run_log) {
-            appendOutput(item.url, item.seed, item);
-        }
-    } catch (e) {
-        console.error(e);
-    }
-}
+// Socket listeners
+socket.on('job_started', (data) => {})
 
-window.onload = async () => {
-    document.querySelector("#prompt").addEventListener("keydown", (e) => {
-      if (e.key === "Enter" && !e.shiftKey) {
-        const form = e.target.form;
-        generateSubmit(form);
-      }
-    });
+socket.on('dream_result', (data) => {
+  var jobId = data.jobId;
+  var dreamId = data.dreamId;
+  var dreamRequest = data.dreamRequest;
+  var src = 'api/images/' + dreamId;
+
+  appendOutput(src, dreamRequest.seed, dreamRequest);
+
+  resetProgress(false);
+})
+
+socket.on('dream_progress', (data) => {
+  // TODO: it'd be nice if we could get a seed reported here, but the generator would need to be updated
+  var step = data.step;
+  var totalSteps = data.totalSteps;
+  var jobId = data.jobId;
+  var dreamId = data.dreamId;
+
+  var progressType = data.progressType
+  if (progressType === 'GENERATION') {
+    var src = data.hasProgressImage ?
+      'api/intermediates/' + dreamId + '/' + step
+      : null;
+    setProgress(step, totalSteps, src);
+  } else if (progressType === 'UPSCALING_STARTED') {
+    // step and totalSteps are used for upscale count on this message
+    document.getElementById("processing_cnt").textContent = step;
+    document.getElementById("processing_total").textContent = totalSteps;
+    document.getElementById("scaling-inprocess-message").style.display = "block";
+  } else if (progressType == 'UPSCALING_DONE') {
+    document.getElementById("scaling-inprocess-message").style.display = "none";
+  }
+})
+
+socket.on('job_canceled', (data) => {
+  resetForm();
+  resetProgress();
+})
+
+socket.on('job_done', (data) => {
+  jobId = data.jobId
+  socket.emit('leave_room', { 'room': jobId });
+
+  resetForm();
+  resetProgress();
+})
+
+window.onload = () => {
     document.querySelector("#generate-form").addEventListener('submit', (e) => {
         e.preventDefault();
         const form = e.target;
@@ -183,7 +204,7 @@ window.onload = async () => {
         saveFields(e.target.form);
     });
     document.querySelector("#reset-seed").addEventListener('click', (e) => {
-        document.querySelector("#seed").value = -1;
+        document.querySelector("#seed").value = 0;
         saveFields(e.target.form);
     });
     document.querySelector("#reset-all").addEventListener('click', (e) => {
@@ -199,15 +220,8 @@ window.onload = async () => {
             console.error(e);
         });
     });
-    document.documentElement.addEventListener('keydown', (e) => {
-      if (e.key === "Escape")
-        fetch('/cancel').catch(err => {
-          console.error(err);
-        });
-    });
 
     if (!config.gfpgan_model_exists) {
         document.querySelector("#gfpgan").style.display = 'none';
     }
-    await fetchRunLog()
 };