From 0f2866380517e67256b13b7d85c2d252c94f0b9a Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 12:43:13 +0200 Subject: [PATCH 01/42] remove redundant None check (`if var` does the same thing) --- scripts/dream.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/dream.py b/scripts/dream.py index f6feb10adc..8175221cb3 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -66,7 +66,7 @@ def main(): infile = None try: - if opt.infile is not None: + if opt.infile: infile = open(opt.infile, 'r') except FileNotFoundError as e: print(e) From cf750f62dbcb21ce5350caf032d63d7ab1364bb4 Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 13:10:37 +0200 Subject: [PATCH 02/42] refactored infile handling --- scripts/dream.py | 40 +++++++++++++++++++++------------------- 1 file changed, 21 insertions(+), 19 deletions(-) diff --git a/scripts/dream.py b/scripts/dream.py index 8175221cb3..ef7f6f3c56 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -64,13 +64,16 @@ def main(): # gets rid of annoying messages about random seed logging.getLogger('pytorch_lightning').setLevel(logging.ERROR) + # load the infile as a list of lines infile = None - try: - if opt.infile: - infile = open(opt.infile, 'r') - except FileNotFoundError as e: - print(e) - exit(-1) + if opt.infile: + if os.path.isfile(opt.infile): + with open(opt.infile, "r") as file: + infile = file.read() + infile = infile.split("\n") + else: + print(f"WARNING: '{opt.infile}' not found. Aborting.") + sys.exit(-1) # exit does not work on every os, sys.exit does afaik # preload the model t2i.load_model() @@ -119,8 +122,6 @@ def main(): cmd_parser = create_cmd_parser() main_loop(t2i, opt.outdir, cmd_parser, log, infile) log.close() - if infile: - infile.close() def main_loop(t2i, outdir, parser, log, infile): @@ -129,15 +130,19 @@ def main_loop(t2i, outdir, parser, log, infile): last_seeds = [] while not done: - try: - command = infile.readline() if infile else input('dream> ') - except EOFError: - done = True - break + if not infile: + command = input("dream> ") + else: + try: + # get the next line of the infile + command = infile.pop(0) + except IndexError: + done = True + break - if infile and len(command) == 0: - done = True - break + # skip empty lines + if not command.strip(): + continue if command.startswith(('#', '//')): continue @@ -152,9 +157,6 @@ def main_loop(t2i, outdir, parser, log, infile): print(str(e)) continue - if len(elements) == 0: - continue - if elements[0] == 'q': done = True break From 12f59e1daab94bed9d204a0200dc0a5ee79126fd Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 13:12:56 +0200 Subject: [PATCH 03/42] removed log.close(); 'with open' automatically closes the file --- scripts/dream.py | 1 - 1 file changed, 1 deletion(-) diff --git a/scripts/dream.py b/scripts/dream.py index ef7f6f3c56..88848da210 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -121,7 +121,6 @@ def main(): with open(log_path, 'a') as log: cmd_parser = create_cmd_parser() main_loop(t2i, opt.outdir, cmd_parser, log, infile) - log.close() def main_loop(t2i, outdir, parser, log, infile): From e00397f9cafbc84302596e280d955c4a83bfdd21 Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 13:22:53 +0200 Subject: [PATCH 04/42] refactored logfile handling; minimised time spent in context managers (with open) --- scripts/dream.py | 26 ++++++++++---------------- 1 file changed, 10 insertions(+), 16 deletions(-) diff --git a/scripts/dream.py b/scripts/dream.py index 88848da210..d937a4ac95 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -118,12 +118,11 @@ def main(): ) log_path = os.path.join(opt.outdir, 'dream_log.txt') - with open(log_path, 'a') as log: - cmd_parser = create_cmd_parser() - main_loop(t2i, opt.outdir, cmd_parser, log, infile) + cmd_parser = create_cmd_parser() + main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) -def main_loop(t2i, outdir, parser, log, infile): +def main_loop(t2i, outdir, parser, log_path, infile): """prompt/read/execute loop""" done = False last_seeds = [] @@ -240,7 +239,7 @@ def main_loop(t2i, outdir, parser, log, infile): continue print('Outputs:') - write_log_message(t2i, normalized_prompt, results, log) + write_log_message(t2i, normalized_prompt, results, log_path) print('goodbye!') @@ -310,19 +309,14 @@ def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): # return variants -def write_log_message(t2i, prompt, results, logfile): +### the results variable doesn't seem to be necessary. maybe remove it? +def write_log_message(t2i, prompt, results, log_path): """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" - last_seed = None - img_num = 1 - seenit = {} + log_lines = [f"{r[0]}: {prompt} -S{seed}\n" for r in results] + print(*log_lines, sep="") - for r in results: - seed = r[1] - log_message = f'{r[0]}: {prompt} -S{seed}' - - print(log_message) - logfile.write(log_message + '\n') - logfile.flush() + with open(log_path, "a") as file: + file.writelines(log_lines) def create_argv_parser(): From 89805a5239bf46dec99e97f0adcfe41baa0b6402 Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 13:25:12 +0200 Subject: [PATCH 05/42] fixed mistake in comment --- scripts/dream.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/dream.py b/scripts/dream.py index d937a4ac95..89e6977d8c 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -309,7 +309,7 @@ def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): # return variants -### the results variable doesn't seem to be necessary. maybe remove it? +### the t2i variable doesn't seem to be necessary here. maybe remove it? def write_log_message(t2i, prompt, results, log_path): """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" log_lines = [f"{r[0]}: {prompt} -S{seed}\n" for r in results] From 5129f256a3ef4c702ba96ffebba55368abaea63e Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 14:13:16 +0200 Subject: [PATCH 06/42] simplet2i: changed image file handling to work as stated in the [docs](https://pillow.readthedocs.io/en/stable/reference/open_files.html) --- ldm/simplet2i.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 8aad3557af..e592e34f83 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -545,7 +545,9 @@ class T2I: return model def _load_img(self, path): - image = Image.open(path).convert('RGB') + with Image.open(path) as img: + image = img.convert("RGB") + w, h = image.size print(f'loaded input image of size ({w}, {h}) from {path}') w, h = map( From 7040995cebcad8c2bbbac1aed8d7224875e9afe8 Mon Sep 17 00:00:00 2001 From: yun saki Date: Fri, 26 Aug 2022 14:25:49 +0200 Subject: [PATCH 07/42] fixed variable name error --- scripts/dream.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/scripts/dream.py b/scripts/dream.py index 89e6977d8c..32e31dd7a2 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -312,7 +312,7 @@ def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): ### the t2i variable doesn't seem to be necessary here. maybe remove it? def write_log_message(t2i, prompt, results, log_path): """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" - log_lines = [f"{r[0]}: {prompt} -S{seed}\n" for r in results] + log_lines = [f"{r[0]}: {prompt} -S{r[1]}\n" for r in results] print(*log_lines, sep="") with open(log_path, "a") as file: From 9b5101cd8d2437dbbf122f56e2f57e5371be7a55 Mon Sep 17 00:00:00 2001 From: Paul Sajna Date: Fri, 26 Aug 2022 08:30:58 -0700 Subject: [PATCH 08/42] support full-precision embeddings in half precision mode --- ldm/modules/embedding_manager.py | 8 +++++--- ldm/simplet2i.py | 2 +- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/ldm/modules/embedding_manager.py b/ldm/modules/embedding_manager.py index 7020a27b9a..6b6df1dafe 100644 --- a/ldm/modules/embedding_manager.py +++ b/ldm/modules/embedding_manager.py @@ -135,11 +135,13 @@ class EmbeddingManager(nn.Module): torch.save({"string_to_token": self.string_to_token_dict, "string_to_param": self.string_to_param_dict}, ckpt_path) - def load(self, ckpt_path): + def load(self, ckpt_path, full=True): ckpt = torch.load(ckpt_path, map_location='cpu') - self.string_to_token_dict = ckpt["string_to_token"] self.string_to_param_dict = ckpt["string_to_param"] + if not full: + for key, value in self.string_to_param_dict.items(): + self.string_to_param_dict[key] = torch.nn.Parameter(value.half()) def get_embedding_norms_squared(self): all_params = torch.cat(list(self.string_to_param_dict.values()), axis=0) # num_placeholders x embedding_dim @@ -161,4 +163,4 @@ class EmbeddingManager(nn.Module): loss = loss + (optimized - coarse) @ (optimized - coarse).T / num_embeddings - return loss \ No newline at end of file + return loss diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 4737d90ba7..d0a8798d3b 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -454,7 +454,7 @@ The vast majority of these arguments default to reasonable values. self.device = torch.device(self.device) if torch.cuda.is_available() else torch.device("cpu") model = self._load_model_from_config(config,self.weights) if self.embedding_path is not None: - model.embedding_manager.load(self.embedding_path) + model.embedding_manager.load(self.embedding_path, self.full_precision) self.model = model.to(self.device) # model.to doesn't change the cond_stage_model.device used to move the tokenizer output, so set it here self.model.cond_stage_model.device = self.device From 6f90c7daf63035f365a6346ecdb3d0a890359957 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Fri, 26 Aug 2022 18:26:22 -0700 Subject: [PATCH 09/42] make web ui default to 512x512 --- static/dream_web/index.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 4dccd05fb3..22793290b7 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -29,7 +29,7 @@ - + @@ -40,7 +40,7 @@ - + From ff6c11406b17f7e9ecdb614479b2cc5a925a7c75 Mon Sep 17 00:00:00 2001 From: artmen1516 Date: Sat, 27 Aug 2022 17:20:44 -0700 Subject: [PATCH 10/42] add notebook and readme section --- README.md | 8 + Stable_Diffusion_AI_Notebook.ipynb | 256 +++++++++++++++++++++++++++++ static/colab_notebook.png | Bin 0 -> 818293 bytes 3 files changed, 264 insertions(+) create mode 100644 Stable_Diffusion_AI_Notebook.ipynb create mode 100644 static/colab_notebook.png diff --git a/README.md b/README.md index 8d108733ea..a2b101be6e 100644 --- a/README.md +++ b/README.md @@ -152,6 +152,14 @@ Note that loading GFPGAN consumes additional GPU memory, and will add a few seconds to image generation. However, if can afford a 3090s with 24Gi, the results are well worth it. +## Google Colab + +Stable Diffusion AI Notebook: Open In Colab
+Open and follow instructions to use an isolated environment running Dream.
+ +Output example: +![Colab Notebook](static/colab_notebook.png) + ## Barebones Web Server As of version 1.10, this distribution comes with a bare bones web diff --git a/Stable_Diffusion_AI_Notebook.ipynb b/Stable_Diffusion_AI_Notebook.ipynb new file mode 100644 index 0000000000..defc158346 --- /dev/null +++ b/Stable_Diffusion_AI_Notebook.ipynb @@ -0,0 +1,256 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "name": "Stable_Diffusion_AI_Notebook.ipynb", + "provenance": [], + "collapsed_sections": [], + "private_outputs": true + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + }, + "accelerator": "GPU", + "gpuClass": "standard" + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "# Stable Diffusion AI Notebook\n", + "\n", + "\"stable-diffusion-ai\"
\n", + "#### Instructions:\n", + "1. Execute each cell in order to mount a Dream bot and create images from text.
\n", + "2. Once cells 1-8 were run correctly you'll be executing a terminal in cell #9, you'll to enter `pipenv run scripts/dream.py` command to run Dream bot.
\n", + "3. After launching dream bot, you'll see:
`Dream > ` in terminal.
Insert a command, eg. `Dream > Astronaut floating in a distant galaxy`, or type `-h` for help.\n", + "3. After completion you'll see your generated images in path `stable-diffusion/outputs/img-samples/`, you can also display images in cell #10.\n", + "4. To quit Dream bot use `q` command.
\n", + "---\n", + "Note: It takes some time to load, but after installing all dependencies you can use the bot all time you want while colab instance is up.
\n", + "Requirements: For this notebook to work you need to have [Stable-Diffusion-v-1-4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original) stored in your Google Drive, it will be needed in cell #6\n", + "##### For more details visit Github repository: [lstein/stable-diffusion](https://github.com/lstein/stable-diffusion)\n", + "---\n" + ], + "metadata": { + "id": "ycYWcsEKc6w7" + } + }, + { + "cell_type": "code", + "source": [ + "#@title 1. Check current GPU assigned\n", + "!nvidia-smi -L\n", + "!nvidia-smi" + ], + "metadata": { + "cellView": "form", + "id": "a2Z5Qu_o8VtQ" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "cellView": "form", + "id": "vbI9ZsQHzjqF" + }, + "outputs": [], + "source": [ + "#@title 2. Download stable-diffusion Repository\n", + "from os.path import exists\n", + "\n", + "if exists(\"/content/stable-diffusion/\")==True:\n", + " print(\"Already downloaded repo\")\n", + "else:\n", + " !git clone --quiet https://github.com/lstein/stable-diffusion.git # Original repo\n", + " %cd stable-diffusion/\n", + " !git checkout --quiet tags/release-1.09\n", + " " + ] + }, + { + "cell_type": "code", + "source": [ + "#@title 3. Install Python 3.8 \n", + "%%capture --no-stderr\n", + "import gc\n", + "!apt-get -qq install python3.8\n", + "gc.collect()" + ], + "metadata": { + "id": "daHlozvwKesj", + "cellView": "form" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 4. Install dependencies from file in a VirtualEnv\n", + "#@markdown Be patient, it takes ~ 5 - 7min
\n", + "%%capture --no-stderr\n", + "#Virtual environment\n", + "!pip install pipenv -q\n", + "!pip install colab-xterm\n", + "%load_ext colabxterm\n", + "!pipenv --python 3.8\n", + "!pipenv install -r requirements.txt --skip-lock\n", + "gc.collect()\n" + ], + "metadata": { + "cellView": "form", + "id": "QbXcGXYEFSNB" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 5. Mount google Drive\n", + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "cellView": "form", + "id": "YEWPV-sF1RDM" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 6. Drive Path to model\n", + "#@markdown Path should start with /content/drive/path-to-your-file
\n", + "#@markdown Note: Model should be downloaded from https://huggingface.co
\n", + "#@markdown Lastest release: [Stable-Diffusion-v-1-4](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)\n", + "from os.path import exists\n", + "\n", + "model_path = \"\" #@param {type:\"string\"}\n", + "if exists(model_path)==True:\n", + " print(\"✅ Valid directory\")\n", + "else: \n", + " print(\"❌ File doesn't exist\")" + ], + "metadata": { + "cellView": "form", + "id": "zRTJeZ461WGu" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 7. Symlink to model\n", + "\n", + "from os.path import exists\n", + "import os \n", + "\n", + "# Folder creation if it doesn't exist\n", + "if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1\")==True:\n", + " print(\"❗ Dir stable-diffusion-v1 already exists\")\n", + "else:\n", + " %mkdir /content/stable-diffusion/models/ldm/stable-diffusion-v1\n", + " print(\"✅ Dir stable-diffusion-v1 created\")\n", + "\n", + "# Symbolic link if it doesn't exist\n", + "if exists(\"/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt\")==True:\n", + " print(\"❗ Symlink already created\")\n", + "else: \n", + " src = model_path\n", + " dst = '/content/stable-diffusion/models/ldm/stable-diffusion-v1/model.ckpt'\n", + " os.symlink(src, dst) \n", + " print(\"✅ Symbolic link created successfully\")" + ], + "metadata": { + "id": "UY-NNz4I8_aG", + "cellView": "form" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 8. Load small ML models required\n", + "%%capture --no-stderr\n", + "!pipenv run scripts/preload_models.py\n", + "gc.collect()" + ], + "metadata": { + "cellView": "form", + "id": "ChIDWxLVHGGJ" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 9. Run Terminal and Execute Dream bot\n", + "#@markdown Steps:
\n", + "#@markdown 1. Execute command `pipenv run scripts/dream.py` to run dream bot.
\n", + "#@markdown 2. After initialized you'll see `Dream>` line.
\n", + "#@markdown 3. Example text: `Astronaut floating in a distant galaxy`
\n", + "#@markdown 4. To quit Dream bot use: `q` command.
\n", + "\n", + "#Run from virtual env\n", + "\n", + "%xterm\n", + "gc.collect()" + ], + "metadata": { + "id": "ir4hCrMIuUpl", + "cellView": "form" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "#@title 10. Show generated images\n", + "\n", + "import glob\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.image as mpimg\n", + "%matplotlib inline\n", + "\n", + "images = []\n", + "for img_path in glob.glob('/content/stable-diffusion/outputs/img-samples/*.png'):\n", + " images.append(mpimg.imread(img_path))\n", + "\n", + "# Remove ticks and labels on x-axis and y-axis both\n", + "\n", + "plt.figure(figsize=(20,10))\n", + "\n", + "columns = 5\n", + "for i, image in enumerate(images):\n", + " ax = plt.subplot(len(images) / columns + 1, columns, i + 1)\n", + " ax.axes.xaxis.set_visible(False)\n", + " ax.axes.yaxis.set_visible(False)\n", + " ax.axis('off')\n", + " plt.imshow(image)\n", + " gc.collect()\n", + "\n" + ], + "metadata": { + "cellView": "form", + "id": "qnLohSHmKoGk" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/static/colab_notebook.png b/static/colab_notebook.png new file mode 100644 index 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z%;@+(zUrwA(VzD86x3NLQ7ZHJX-LW*KFuxX8>a?Z=6vyCeuB&^Fue3yY)g zh8~9)bOiHHww#vr`h|=hy^zBNRz;xBa4bYv{^**7mb@)9Sm@N!9zHtV%oOmK41}`SOC0426PsH3l4(gM2IkPwVyo_*;Xq zAry8-m;7f?NL0s46Cq7aC^4#sCHFeWY@`nd6Agw5*>uF*D5#~9#WZQ^OF-&qP0a7| z(Ga&ub};;m3^HrMto4CB_o#A;Vn>1iueY&CZ-rwRwx;t10R#P$E7<}UyvJNdg$Gr6 zcXZ_CS39A~GaU#r249w-FF+W10mW8zQUv8weq)*9;TBR1$Drba^fXWdNv7tAfX-YE zOD1xN*72fE^f$8NKl;TM`gd8d2TK9ujj4AHHGOEP2@Q7bhWauc^|PQt52hGkydKh| zWoQ4B|NRr3OS8ZQz0lt#m=zO@dM4rG4@Tr!PT(sP;U(VM z;batBP-mcS8$PehZUfa~2!Zji&e4hK&G~g{vwSaBb)Q8qcj(|L zlBLV=I^{2bQanpJAz1F#3x`l~TgDwM6UBbK1>%fI*qJbncZP-0DA?mw6wDc;g> zi}^TU;*h$>Wo2ccJpK979a5!F z`P}<0L`JC>_Pb5<8YWp?>wEaKHQyGf`AERMODEqL{nB~BF$yt>P zK^SD|ONwod2DtgbuF}!k`E>BHhxrE~`s>#zXy6@Pf!u}8Q2pJ1-1X=R|Lc0_ gESw^yQFTxC+{3t+uJ)K$C%})swxL$3#?7Gr0T-rpOaK4? literal 0 HcmV?d00001 From 59be6c815d39c46ad5a1bb50b26f454d5f34337d Mon Sep 17 00:00:00 2001 From: Muhammad Usama Date: Sun, 28 Aug 2022 15:39:09 +0100 Subject: [PATCH 11/42] bug fix in grid In case of 6 images 3rd image was also copied to 4th box missing the last image in the grid. --- ldm/dream/pngwriter.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 3a3f205512..9fd97c9053 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -88,10 +88,11 @@ class PngWriter: height = image_list[0].height grid_img = Image.new('RGB', (width * cols, height * rows)) + i = 0 for r in range(0, rows): for c in range(0, cols): - i = r * rows + c grid_img.paste(image_list[i], (c * width, r * height)) + i = i + 1 return grid_img From d1551b1bd462ad3009e4a36025cb76a10c9d2aeb Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Sun, 28 Aug 2022 16:05:00 +1200 Subject: [PATCH 12/42] Enable users to set sampler using prompts --- ldm/simplet2i.py | 79 +++++++++++++++++++++++++++--------------------- scripts/dream.py | 20 +++++++++++- 2 files changed, 63 insertions(+), 36 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 50816ec403..922532cfad 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -133,7 +133,8 @@ class T2I: full_precision=False, strength=0.75, # default in scripts/img2img.py embedding_path=None, - latent_diffusion_weights=False, # just to keep track of this parameter when regenerating prompt + # just to keep track of this parameter when regenerating prompt + latent_diffusion_weights=False, device='cuda', gfpgan=None, ): @@ -175,7 +176,8 @@ class T2I: outdir, prompt, kwargs.get('batch_size', self.batch_size) ) for r in results: - metadata_str = f'prompt2png("{prompt}" {kwargs} seed={r[1]}' # gets written into the PNG + # gets written into the PNG + metadata_str = f'prompt2png("{prompt}" {kwargs} seed={r[1]}' pngwriter.write_image(r[0], r[1]) return pngwriter.files_written @@ -210,6 +212,7 @@ class T2I: strength=None, gfpgan_strength=None, variants=None, + user_sampler=None, **args, ): # eat up additional cruft """ @@ -269,6 +272,10 @@ class T2I: scope = autocast if self.precision == 'autocast' else nullcontext + if user_sampler and (user_sampler != self.sampler_name): + self.sampler_name = user_sampler + self._set_sampler() + tic = time.time() results = list() @@ -305,12 +312,15 @@ class T2I: iter_images = next(images_iterator) for image in iter_images: try: - # if gfpgan strength is none or less than or equal to 0.0 then + # if gfpgan strength is none or less than or equal to 0.0 then # don't even attempt to use GFPGAN. - # if the user specified a value of -G that satisifies the condition and + # if the user specified a value of -G that satisifies the condition and # --gfpgan wasn't specified, at startup then # the net result is a message gets printed - nothing else happens. - if gfpgan_strength is not None and gfpgan_strength > 0.0: + if ( + gfpgan_strength is not None + and gfpgan_strength > 0.0 + ): image = self._run_gfpgan( image, gfpgan_strength ) @@ -499,39 +509,38 @@ class T2I: except AttributeError: raise SystemExit - msg = f'setting sampler to {self.sampler_name}' - if self.sampler_name == 'plms': - self.sampler = PLMSSampler(self.model, device=self.device) - elif self.sampler_name == 'ddim': - self.sampler = DDIMSampler(self.model, device=self.device) - elif self.sampler_name == 'k_dpm_2_a': - self.sampler = KSampler( - self.model, 'dpm_2_ancestral', device=self.device - ) - elif self.sampler_name == 'k_dpm_2': - self.sampler = KSampler( - self.model, 'dpm_2', device=self.device - ) - elif self.sampler_name == 'k_euler_a': - self.sampler = KSampler( - self.model, 'euler_ancestral', device=self.device - ) - elif self.sampler_name == 'k_euler': - self.sampler = KSampler( - self.model, 'euler', device=self.device - ) - elif self.sampler_name == 'k_heun': - self.sampler = KSampler(self.model, 'heun', device=self.device) - elif self.sampler_name == 'k_lms': - self.sampler = KSampler(self.model, 'lms', device=self.device) - else: - msg = f'unsupported sampler {self.sampler_name}, defaulting to plms' - self.sampler = PLMSSampler(self.model, device=self.device) - - print(msg) + self._set_sampler() return self.model + def _set_sampler(self): + msg = f'>> Setting Sampler to {self.sampler_name}' + if self.sampler_name == 'plms': + self.sampler = PLMSSampler(self.model, device=self.device) + elif self.sampler_name == 'ddim': + self.sampler = DDIMSampler(self.model, device=self.device) + elif self.sampler_name == 'k_dpm_2_a': + self.sampler = KSampler( + self.model, 'dpm_2_ancestral', device=self.device + ) + elif self.sampler_name == 'k_dpm_2': + self.sampler = KSampler(self.model, 'dpm_2', device=self.device) + elif self.sampler_name == 'k_euler_a': + self.sampler = KSampler( + self.model, 'euler_ancestral', device=self.device + ) + elif self.sampler_name == 'k_euler': + self.sampler = KSampler(self.model, 'euler', device=self.device) + elif self.sampler_name == 'k_heun': + self.sampler = KSampler(self.model, 'heun', device=self.device) + elif self.sampler_name == 'k_lms': + self.sampler = KSampler(self.model, 'lms', device=self.device) + else: + msg = f'>> Unsupported Sampler: {self.sampler_name}, Defaulting to plms' + self.sampler = PLMSSampler(self.model, device=self.device) + + print(msg) + def _load_model_from_config(self, config, ckpt): print(f'Loading model from {ckpt}') pl_sd = torch.load(ckpt, map_location='cpu') diff --git a/scripts/dream.py b/scripts/dream.py index 5d5e8db4a5..be72d25655 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -52,7 +52,8 @@ def main(): weights=weights, full_precision=opt.full_precision, config=config, - latent_diffusion_weights=opt.laion400m, # this is solely for recreating the prompt + # this is solely for recreating the prompt + latent_diffusion_weights=opt.laion400m, embedding_path=opt.embedding_path, device=opt.device, ) @@ -508,6 +509,23 @@ def create_cmd_parser(): action='store_true', help='skip subprompt weight normalization', ) + parser.add_argument( + '-m', + '--user_sampler', + default=None, + type=str, + choices=[ + 'ddim', + 'k_dpm_2_a', + 'k_dpm_2', + 'k_euler_a', + 'k_euler', + 'k_heun', + 'k_lms', + 'plms', + ], + help='Change to another supported sampler using this command', + ) return parser From ba03289c14dcfd380e03ce7c2d5fa330aaf1e3e0 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 13:05:01 -0400 Subject: [PATCH 13/42] print current and max VRAM usage stats after each round of generation --- ldm/simplet2i.py | 12 +++++++++--- scripts/dream.py | 5 +---- 2 files changed, 10 insertions(+), 7 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 50816ec403..ed43e9a598 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -158,6 +158,7 @@ class T2I: self.latent_diffusion_weights = latent_diffusion_weights self.device = device self.gfpgan = gfpgan + self.session_peakmem = torch.cuda.max_memory_allocated() if seed is None: self.seed = self._new_seed() else: @@ -262,14 +263,15 @@ class T2I: h = int(height / 64) * 64 if h != height or w != width: print( - f'Height and width must be multiples of 64. Resizing to {h}x{w}' + f'Height and width must be multiples of 64. Resizing to {h}x{w}.' ) height = h - width = w + width = w scope = autocast if self.precision == 'autocast' else nullcontext tic = time.time() + torch.cuda.torch.cuda.reset_peak_memory_stats() results = list() try: @@ -333,7 +335,11 @@ class T2I: print('Are you sure your system has an adequate NVIDIA GPU?') toc = time.time() - print(f'{len(results)} images generated in', '%4.2fs' % (toc - tic)) + self.session_peakmem = max(self.session_peakmem,torch.cuda.max_memory_allocated() ) + print('Usage stats:') + print(f' {len(results)} image(s) generated in', '%4.2fs' % (toc - tic)) + print(f' Max VRAM used for this generation:', '%4.2fG' % (torch.cuda.max_memory_allocated()/1E9)) + print(f' Max VRAM used since script start: ', '%4.2fG' % (self.session_peakmem/1E9)) return results @torch.no_grad() diff --git a/scripts/dream.py b/scripts/dream.py index 5d5e8db4a5..fda92310e4 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -10,9 +10,6 @@ import warnings import ldm.dream.readline from ldm.dream.pngwriter import PngWriter, PromptFormatter -debugging = False - - def main(): """Initialize command-line parsers and the diffusion model""" arg_parser = create_argv_parser() @@ -209,10 +206,10 @@ def main_loop(t2i, outdir, parser, log, infile): normalized_prompt = PromptFormatter(t2i, opt).normalize_prompt() individual_images = not opt.grid + # Here is where the images are actually generated! try: file_writer = PngWriter(outdir, normalized_prompt, opt.batch_size) callback = file_writer.write_image if individual_images else None - image_list = t2i.prompt2image(image_callback=callback, **vars(opt)) results = ( file_writer.files_written if individual_images else image_list From 042a9043d123753ea1bfa0686105fbcbca3987cf Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 15:54:12 -0400 Subject: [PATCH 14/42] got rid of the cd and pwd commands, and just allow user to specify --outdir on the command --- README.md | 2 +- scripts/dream.py | 33 +++++++++++++++++---------------- 2 files changed, 18 insertions(+), 17 deletions(-) diff --git a/README.md b/README.md index c0afb243c7..549ac50f04 100644 --- a/README.md +++ b/README.md @@ -358,7 +358,7 @@ repository and associated paper for details and limitations. * It should no longer be possible for one image to overwrite another * You can use the "cd" and "pwd" commands at the dream> prompt to set and retrieve - the path of the output directory. + the path of the output directory. (NOTE: Removed in v1.12) * v1.04 (22 August 2022 - after the drop) * Updated README to reflect installation of the released weights. diff --git a/scripts/dream.py b/scripts/dream.py index cb27191814..4473f3a307 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -115,7 +115,7 @@ def main(): if not infile: print( - "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." + "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit)" ) log_path = os.path.join(opt.outdir, 'dream_log.txt') @@ -156,18 +156,6 @@ def main_loop(t2i, outdir, parser, log_path, infile): done = True break - if elements[0] == 'cd' and len(elements) > 1: - if os.path.exists(elements[1]): - print(f'setting image output directory to {elements[1]}') - outdir = elements[1] - else: - print(f'directory {elements[1]} does not exist') - continue - - if elements[0] == 'pwd': - print(f'current output directory is {outdir}') - continue - if elements[0].startswith( '!dream' ): # in case a stored prompt still contains the !dream command @@ -205,12 +193,18 @@ def main_loop(t2i, outdir, parser, log_path, infile): normalized_prompt = PromptFormatter(t2i, opt).normalize_prompt() individual_images = not opt.grid + if opt.outdir: + if not os.path.exists(opt.outdir): + os.makedirs(opt.outdir) + current_outdir = opt.outdir + else: + current_outdir = outdir # Here is where the images are actually generated! try: - file_writer = PngWriter(outdir, normalized_prompt, opt.batch_size) - callback = file_writer.write_image if individual_images else None - image_list = t2i.prompt2image(image_callback=callback, **vars(opt)) + file_writer = PngWriter(current_outdir, normalized_prompt, opt.batch_size) + callback = file_writer.write_image if individual_images else None + image_list = t2i.prompt2image(image_callback=callback, **vars(opt)) results = ( file_writer.files_written if individual_images else image_list ) @@ -477,6 +471,13 @@ def create_cmd_parser(): parser.add_argument( '-g', '--grid', action='store_true', help='generate a grid' ) + parser.add_argument( + '--outdir', + '-o', + type=str, + default=None, + help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', + ) parser.add_argument( '-i', '--individual', From 6e49c070bbe5ba9a6aa14f851e407621e119103f Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Mon, 29 Aug 2022 08:14:29 +1200 Subject: [PATCH 15/42] Optimize and Improve GFPGAN and Real-ESRGAN Pipeline --- README.md | 364 ++++++++++++++++++++----------------- ldm/dream/pngwriter.py | 10 +- ldm/gfpgan/gfpgan_tools.py | 165 +++++++++++++++++ ldm/simplet2i.py | 112 ++++++------ scripts/dream.py | 117 +++--------- scripts/preload_models.py | 20 +- 6 files changed, 468 insertions(+), 320 deletions(-) create mode 100644 ldm/gfpgan/gfpgan_tools.py diff --git a/README.md b/README.md index c0afb243c7..4718d61c17 100644 --- a/README.md +++ b/README.md @@ -5,13 +5,13 @@ text-to-image generator. The original has been improved in several ways: ## Interactive command-line interface similar to the Discord bot -The *dream.py* script, located in scripts/dream.py, +The _dream.py_ script, located in scripts/dream.py, provides an interactive interface to image generation similar to the "dream mothership" bot that Stable AI provided on its Discord server. Unlike the txt2img.py and img2img.py scripts provided in the original CompViz/stable-diffusion source code repository, the time-consuming initialization of the AI model -initialization only happens once. After that image generation +initialization only happens once. After that image generation from the command-line interface is very fast. The script uses the readline library to allow for in-line editing, @@ -25,7 +25,7 @@ The script is confirmed to work on Linux and Windows systems. It should work on MacOSX as well, but this is not confirmed. Note that this script runs from the command-line (CMD or Terminal window), and does not have a GUI. -~~~~ +``` (ldm) ~/stable-diffusion$ python3 ./scripts/dream.py * Initializing, be patient... Loading model from models/ldm/text2img-large/model.ckpt @@ -47,13 +47,13 @@ dream> q 00009.png: "ashley judd riding a camel" -s150 -S 416354203 00010.png: "ashley judd riding a camel" -s150 -S 1362479620 00011.png: "there's a fly in my soup" -n6 -g -S 2685670268 -~~~~ +``` The dream> prompt's arguments are pretty much identical to those used in the Discord bot, except you don't need to type "!dream" (it doesn't hurt if you do). A significant change is that creation of individual images is now the default unless --grid (-g) is given. For backward -compatibility, the -i switch is recognized. For command-line help +compatibility, the -i switch is recognized. For command-line help type -h (or --help) at the dream> prompt. The script itself also recognizes a series of command-line switches @@ -65,12 +65,12 @@ image outputs and the location of the model weight files. This script also provides an img2img feature that lets you seed your creations with a drawing or photo. This is a really cool feature that tells stable diffusion to build the prompt on top of the image you provide, preserving -the original's basic shape and layout. To use it, provide the --init_img +the original's basic shape and layout. To use it, provide the --init_img option as shown here: -~~~~ +``` dream> "waterfall and rainbow" --init_img=./init-images/crude_drawing.png --strength=0.5 -s100 -n4 -~~~~ +``` The --init_img (-I) option gives the path to the seed picture. --strength (-f) controls how much the original will be modified, ranging from 0.0 (keep the original intact), to 1.0 (ignore the original @@ -80,86 +80,90 @@ You may also pass a -v option to generate count variants on the original passing the first generated image back into img2img the requested number of times. It generates interesting variants. -## GFPGAN Support +## GFPGAN and Real-ESRGAN Support -This script also provides the ability to invoke GFPGAN after image -generation. Doing so will enhance faces and optionally upscale the -image to a higher resolution. +The script also provides the ability to do face restoration and upscaling with the help of GFPGAN and Real-ESRGAN respectively. -To use the ability, clone the [GFPGAN -repository](https://github.com/TencentARC/GFPGAN) and follow their +To use the ability, clone the **[GFPGAN +repository](https://github.com/TencentARC/GFPGAN)** and follow their installation instructions. By default, we expect GFPGAN to be -installed in a 'GFPGAN' sibling directory. Be sure that the "ldm" +installed in a 'GFPGAN' sibling directory. Be sure that the `"ldm"` conda environment is active as you install GFPGAN. -You may also want to install Real-ESRGAN, if you want to enhance -non-face regions in the image, by installing the pip Real-ESRGAN -package. +You can use the `--gfpgan_dir` argument with `dream.py` to set a custom path to your GFPGAN directory. _There are other GFPGAN related boot arguments if you wish to customize further._ + +You can install **Real-ESRGAN** by typing the following command. ``` pip install realesrgan - ``` -Users whose GPU machines are isolated from the Internet (e.g. on a -University cluster) should be aware that the first time you run -dream.py with GFPGAN turned on, it will try to download model files -from the Internet. To rectify this, you may run `python3 -scripts/preload_models.pl` after you have installed GFPGAN and all its -dependencies. +**Preloading Models** -Now, you can run this script by adding the **--gfpgan** option. Any -issues with GFPGAN will be reported on initialization. +Users whose GPU machines are isolated from the Internet (e.g. on a University cluster) should be aware that the first time you run +dream.py with GFPGAN and Real-ESRGAN turned on, it will try to download model files from the Internet. To rectify this, you may run `python3 scripts/preload_models.py` after you have installed GFPGAN and all its dependencies. -~~~~ +**Usage** + +You will now have access to two new prompt arguments. + +**Upscaling** + +`-U : ` + +The upscaling prompt argument takes two values. The first value is a scaling factor and should be set to either `2` or `4` only. This will either scale the image 2x or 4x respectively using different models. + +You can set the scaling stength between `0` and `1.0` to control intensity of the of the scaling. This is handy because AI upscalers generally tend to smooth out texture details. If you wish to retain some of those for natural looking results, we recommend using values between `0.5 to 0.8`. + +**Face Restoration** + +`-G : ` + +This prompt argument controls the strength of the face restoration that is being applied. Similar to upscaling, values between `0.5 to 0.8` are recommended. + +You can use either one or both without any conflicts. In cases where you use both, the image will be first upscaled and then the face restoration process will be executed to ensure you get the highest quality facial features. + +`-save_orig` + +When you use either `-U` or `-G`, the final result you get is upscaled or face modified. If you want to save the original Stable Diffusion generation, you can use the `-save_orig` prompt argument to save the original unaffected version too. + +**Example Usage** + +``` +dream > superman dancing with a panda bear -U 2 0.6 -G 0.4 +``` + +``` (ldm) ~/stable-diffusion$ python3 ./scripts/dream.py --gfpgan * Initializing, be patient... (...more initialization messages...) * --gfpgan was specified, loading gfpgan... (...even more initialization messages...) * Initialization done! Awaiting your command... -~~~~ - -When generating prompts, add a -G or --gfpgan_strenth option to -control the strength of the GFPGAN enhancement. 0.0 is no -enhancement, 1.0 is maximum enhancement. - -So for instance, to apply the maximum strength: -~~~~ -dream> a man wearing a pineapple hat -G 1 -~~~~ +``` This also works with img2img: -~~~ -dream> a man wearing a pineapple hat -I path/to/your/file.png -G 1 -~~~ -That's it! +``` +dream> a man wearing a pineapple hat -I path/to/your/file.png -U 2 0.5 -G 0.6 +``` -There's also a bunch of options to control GFPGAN settings when -starting the script for different configs that you can read about in -the help text. This will let you control where GFPGAN is installed, if -upsampling is enabled, the upsampler to use and the model path. +**Note** -By default, images will be upscaled by 2-fold, meaning that the old -Stable Diffusion default size of 512x512 will now be a glorious -detailed 1024x1024. The extent of upscaling is set when you run the -script, and can't be changed while it's running. However, at any time -you may specify **-G0** to turn off upscaling and facial enhancement -for that image or set of images. +GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed its work. -Note that loading GFPGAN consumes additional GPU memory, and will add -a few seconds to image generation. However, if can afford a 3090s with -24Gi, the results are well worth it. +In single image generations, you will see the output right away but when you are using multiple iterations, the images will first be generated and then upscaled and face restored after that process is complete. While the image generation is taking place, you will still be able to preview the base images. + +If you wish to stop during the image generation but want to upscale or face restore a particular generated image, pass it again with the same prompt and generated seed along with the `-U` and `-G` prompt arguments to perform those actions. ## Barebones Web Server As of version 1.10, this distribution comes with a bare bones web server (see screenshot). To use it, run the command: -~~~~ +``` (ldm) ~/stable-diffusion$ python3 scripts/dream_web.py -~~~~ +``` You can then connect to the server by pointing your web browser at http://localhost:9090, or to the network name or IP address of the server. @@ -176,23 +180,23 @@ you want to run, one line per prompt. The text file must be composed with a text editor (e.g. Notepad) and not a word processor. Each line should look like what you would type at the dream> prompt: -~~~~ +``` a beautiful sunny day in the park, children playing -n4 -C10 stormy weather on a mountain top, goats grazing -s100 innovative packaging for a squid's dinner -S137038382 -~~~~ +``` Then pass this file's name to dream.py when you invoke it: -~~~~ +``` (ldm) ~/stable-diffusion$ python3 scripts/dream.py --from_file "path/to/prompts.txt" -~~~~ +``` You may read a series of prompts from standard input by providing a filename of "-": -~~~~ +``` (ldm) ~/stable-diffusion$ echo "a beautiful day" | python3 scripts/dream.py --from_file - -~~~~ +``` ## Shortcut for reusing seeds from the previous command @@ -208,7 +212,7 @@ Here's an example of using this to do a quick refinement. It also illustrates using the new **-G** switch to turn on upscaling and face enhancement (see previous section): -~~~~ +``` dream> a cute child playing hopscotch -G0.5 [...] outputs/img-samples/000039.3498014304.png: "a cute child playing hopscotch" -s50 -b1 -W512 -H512 -C7.5 -mk_lms -S3498014304 @@ -218,9 +222,7 @@ dream> a cute child playing hopscotch -G1.0 -s100 -S -1 reusing previous seed 3498014304 [...] outputs/img-samples/000040.3498014304.png: "a cute child playing hopscotch" -G1.0 -s100 -b1 -W512 -H512 -C7.5 -mk_lms -S3498014304 -~~~~ - - +``` ## Weighted Prompts @@ -228,9 +230,9 @@ You may weight different sections of the prompt to tell the sampler to attach di priority to them, by adding :(number) to the end of the section you wish to up- or downweight. For example consider this prompt: -~~~~ +``` tabby cat:0.25 white duck:0.75 hybrid -~~~~ +``` This will tell the sampler to invest 25% of its effort on the tabby cat aspect of the image and 75% on the white duck aspect @@ -245,7 +247,7 @@ and introducing a new vocabulary to the fixed model. To train, prepare a folder that contains images sized at 512x512 and execute the following: -~~~~ +``` # As the default backend is not available on Windows, if you're using that platform, execute SET PL_TORCH_DISTRIBUTED_BACKEND=gloo (ldm) ~/stable-diffusion$ python3 ./main.py --base ./configs/stable-diffusion/v1-finetune.yaml \ -t \ @@ -254,14 +256,14 @@ To train, prepare a folder that contains images sized at 512x512 and execute the --gpus 0, \ --data_root D:/textual-inversion/my_cat \ --init_word 'cat' -~~~~ +``` During the training process, files will be created in /logs/[project][time][project]/ where you can see the process. -conditioning* contains the training prompts +conditioning\* contains the training prompts inputs, reconstruction the input images for the training epoch -samples, samples scaled for a sample of the prompt and one with the init word provided +samples, samples scaled for a sample of the prompt and one with the init word provided On a RTX3090, the process for SD will take ~1h @1.6 iterations/sec. @@ -275,28 +277,29 @@ heat death of the universe, when you find a low loss epoch or around Once the model is trained, specify the trained .pt file when starting dream using -~~~~ +``` (ldm) ~/stable-diffusion$ python3 ./scripts/dream.py --embedding_path /path/to/embedding.pt --full_precision -~~~~ +``` Then, to utilize your subject at the dream prompt -~~~ +``` dream> "a photo of *" -~~~ +``` this also works with image2image -~~~~ + +``` dream> "waterfall and rainbow in the style of *" --init_img=./init-images/crude_drawing.png --strength=0.5 -s100 -n4 -~~~~ +``` It's also possible to train multiple tokens (modify the placeholder string in configs/stable-diffusion/v1-finetune.yaml) and combine LDM checkpoints using: -~~~~ +``` (ldm) ~/stable-diffusion$ python3 ./scripts/merge_embeddings.py \ --manager_ckpts /path/to/first/embedding.pt /path/to/second/embedding.pt [...] \ --output_path /path/to/output/embedding.pt -~~~~ +``` Credit goes to @rinongal and the repository located at https://github.com/rinongal/textual_inversion Please see the @@ -304,84 +307,86 @@ repository and associated paper for details and limitations. ## Changes - * v1.12 (28 August 2022) - * Improved file handling, including ability to read prompts from standard input. - (kudos to [Yunsaki](https://github.com/yunsaki) - - * v1.11 (26 August 2022) - * NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave) - * You now can specify a seed of -1 to use the previous image's seed, -2 to use the seed for the image generated before that, etc. - Seed memory only extends back to the previous command, but will work on all images generated with the -n# switch. - * Variant generation support temporarily disabled pending more general solution. - * Created a feature branch named **yunsaki-morphing-dream** which adds experimental support for - iteratively modifying the prompt and its parameters. Please see[ Pull Request #86](https://github.com/lstein/stable-diffusion/pull/86) - for a synopsis of how this works. Note that when this feature is eventually added to the main branch, it will may be modified - significantly. - -* v1.10 (25 August 2022) - * A barebones but fully functional interactive web server for online generation of txt2img and img2img. - -* v1.09 (24 August 2022) - * A new -v option allows you to generate multiple variants of an initial image - in img2img mode. (kudos to [Oceanswave](https://github.com/Oceanswave). [ - See this discussion in the PR for examples and details on use](https://github.com/lstein/stable-diffusion/pull/71#issuecomment-1226700810)) - * Added ability to personalize text to image generation (kudos to [Oceanswave](https://github.com/Oceanswave) and [nicolai256](https://github.com/nicolai256)) - * Enabled all of the samplers from k_diffusion - -* v1.08 (24 August 2022) - * Escape single quotes on the dream> command before trying to parse. This avoids - parse errors. - * Removed instruction to get Python3.8 as first step in Windows install. - Anaconda3 does it for you. - * Added bounds checks for numeric arguments that could cause crashes. - * Cleaned up the copyright and license agreement files. +- v1.12 (28 August 2022) -* v1.07 (23 August 2022) - * Image filenames will now never fill gaps in the sequence, but will be assigned the - next higher name in the chosen directory. This ensures that the alphabetic and chronological - sort orders are the same. + - Improved file handling, including ability to read prompts from standard input. + (kudos to [Yunsaki](https://github.com/yunsaki) -* v1.06 (23 August 2022) - * Added weighted prompt support contributed by [xraxra](https://github.com/xraxra) - * Example of using weighted prompts to tweak a demonic figure contributed by [bmaltais](https://github.com/bmaltais) +- v1.11 (26 August 2022) + - NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave) + - You now can specify a seed of -1 to use the previous image's seed, -2 to use the seed for the image generated before that, etc. + Seed memory only extends back to the previous command, but will work on all images generated with the -n# switch. + - Variant generation support temporarily disabled pending more general solution. + - Created a feature branch named **yunsaki-morphing-dream** which adds experimental support for + iteratively modifying the prompt and its parameters. Please see[ Pull Request #86](https://github.com/lstein/stable-diffusion/pull/86) + for a synopsis of how this works. Note that when this feature is eventually added to the main branch, it will may be modified + significantly. +- v1.10 (25 August 2022) + - A barebones but fully functional interactive web server for online generation of txt2img and img2img. +- v1.09 (24 August 2022) + - A new -v option allows you to generate multiple variants of an initial image + in img2img mode. (kudos to [Oceanswave](https://github.com/Oceanswave). [ + See this discussion in the PR for examples and details on use](https://github.com/lstein/stable-diffusion/pull/71#issuecomment-1226700810)) + - Added ability to personalize text to image generation (kudos to [Oceanswave](https://github.com/Oceanswave) and [nicolai256](https://github.com/nicolai256)) + - Enabled all of the samplers from k_diffusion +- v1.08 (24 August 2022) -* v1.05 (22 August 2022 - after the drop) - * Filenames now use the following formats: - 000010.95183149.png -- Two files produced by the same command (e.g. -n2), - 000010.26742632.png -- distinguished by a different seed. + - Escape single quotes on the dream> command before trying to parse. This avoids + parse errors. + - Removed instruction to get Python3.8 as first step in Windows install. + Anaconda3 does it for you. + - Added bounds checks for numeric arguments that could cause crashes. + - Cleaned up the copyright and license agreement files. - 000011.455191342.01.png -- Two files produced by the same command using - 000011.455191342.02.png -- a batch size>1 (e.g. -b2). They have the same seed. +- v1.07 (23 August 2022) - 000011.4160627868.grid#1-4.png -- a grid of four images (-g); the whole grid can - be regenerated with the indicated key + - Image filenames will now never fill gaps in the sequence, but will be assigned the + next higher name in the chosen directory. This ensures that the alphabetic and chronological + sort orders are the same. - * It should no longer be possible for one image to overwrite another - * You can use the "cd" and "pwd" commands at the dream> prompt to set and retrieve - the path of the output directory. - -* v1.04 (22 August 2022 - after the drop) - * Updated README to reflect installation of the released weights. - * Suppressed very noisy and inconsequential warning when loading the frozen CLIP - tokenizer. +- v1.06 (23 August 2022) -* v1.03 (22 August 2022) - * The original txt2img and img2img scripts from the CompViz repository have been moved into - a subfolder named "orig_scripts", to reduce confusion. - -* v1.02 (21 August 2022) - * A copy of the prompt and all of its switches and options is now stored in the corresponding + - Added weighted prompt support contributed by [xraxra](https://github.com/xraxra) + - Example of using weighted prompts to tweak a demonic figure contributed by [bmaltais](https://github.com/bmaltais) + +- v1.05 (22 August 2022 - after the drop) + + - Filenames now use the following formats: + 000010.95183149.png -- Two files produced by the same command (e.g. -n2), + 000010.26742632.png -- distinguished by a different seed. + + 000011.455191342.01.png -- Two files produced by the same command using + 000011.455191342.02.png -- a batch size>1 (e.g. -b2). They have the same seed. + + 000011.4160627868.grid#1-4.png -- a grid of four images (-g); the whole grid can + be regenerated with the indicated key + + - It should no longer be possible for one image to overwrite another + - You can use the "cd" and "pwd" commands at the dream> prompt to set and retrieve + the path of the output directory. + +- v1.04 (22 August 2022 - after the drop) + + - Updated README to reflect installation of the released weights. + - Suppressed very noisy and inconsequential warning when loading the frozen CLIP + tokenizer. + +- v1.03 (22 August 2022) + - The original txt2img and img2img scripts from the CompViz repository have been moved into + a subfolder named "orig_scripts", to reduce confusion. +- v1.02 (21 August 2022) + + - A copy of the prompt and all of its switches and options is now stored in the corresponding image in a tEXt metadata field named "Dream". You can read the prompt using scripts/images2prompt.py, or an image editor that allows you to explore the full metadata. - **Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!** + **Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!** -* v1.01 (21 August 2022) - * added k_lms sampling. - **Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!** - * use half precision arithmetic by default, resulting in faster execution and lower memory requirements +- v1.01 (21 August 2022) + - added k_lms sampling. + **Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!** + - use half precision arithmetic by default, resulting in faster execution and lower memory requirements Pass argument --full_precision to dream.py to get slower but more accurate image generation - ## Installation There are separate installation walkthroughs for [Linux/Mac](#linuxmac) and [Windows](#windows). @@ -389,38 +394,48 @@ There are separate installation walkthroughs for [Linux/Mac](#linuxmac) and [Win ### Linux/Mac 1. You will need to install the following prerequisites if they are not already available. Use your -operating system's preferred installer -* Python (version 3.8.5 recommended; higher may work) -* git + operating system's preferred installer + +- Python (version 3.8.5 recommended; higher may work) +- git 2. Install the Python Anaconda environment manager using pip3. + ``` ~$ pip3 install anaconda ``` + After installing anaconda, you should log out of your system and log back in. If the installation worked, your command prompt will be prefixed by the name of the current anaconda environment, "(base)". 3. Copy the stable-diffusion source code from GitHub: + ``` (base) ~$ git clone https://github.com/lstein/stable-diffusion.git ``` + This will create stable-diffusion folder where you will follow the rest of the steps. 4. Enter the newly-created stable-diffusion folder. From this step forward make sure that you are working in the stable-diffusion directory! + ``` (base) ~$ cd stable-diffusion (base) ~/stable-diffusion$ ``` + 5. Use anaconda to copy necessary python packages, create a new python environment named "ldm", -and activate the environment. + and activate the environment. + ``` (base) ~/stable-diffusion$ conda env create -f environment.yaml (base) ~/stable-diffusion$ conda activate ldm (ldm) ~/stable-diffusion$ ``` + After these steps, your command prompt will be prefixed by "(ldm)" as shown above. 6. Load a couple of small machine-learning models required by stable diffusion: + ``` (ldm) ~/stable-diffusion$ python3 scripts/preload_models.py ``` @@ -440,13 +455,14 @@ to a page that prompts you to click the "download" link. Save the file somewhere Now run the following commands from within the stable-diffusion directory. This will create a symbolic link from the stable-diffusion model.ckpt file, to the true location of the sd-v1-4.ckpt file. - + ``` (ldm) ~/stable-diffusion$ mkdir -p models/ldm/stable-diffusion-v1 (ldm) ~/stable-diffusion$ ln -sf /path/to/sd-v1-4.ckpt models/ldm/stable-diffusion-v1/model.ckpt ``` 8. Start generating images! + ``` # for the pre-release weights use the -l or --liaon400m switch (ldm) ~/stable-diffusion$ python3 scripts/dream.py -l @@ -457,15 +473,18 @@ link from the stable-diffusion model.ckpt file, to the true location of the sd-v # for additional configuration switches and arguments, use -h or --help (ldm) ~/stable-diffusion$ python3 scripts/dream.py -h ``` -9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the "stable-diffusion" -directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple ModuleNotFound errors. + +9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the "stable-diffusion" + directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple ModuleNotFound errors. #### Updating to newer versions of the script This distribution is changing rapidly. If you used the "git clone" method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter "stable-diffusion", and type: + ``` (ldm) ~/stable-diffusion$ git pull ``` + This will bring your local copy into sync with the remote one. ### Windows @@ -477,24 +496,30 @@ This will bring your local copy into sync with the remote one. 3. Launch Anaconda from the Windows Start menu. This will bring up a command window. Type all the remaining commands in this window. 4. Run the command: + ``` git clone https://github.com/lstein/stable-diffusion.git ``` + This will create stable-diffusion folder where you will follow the rest of the steps. 5. Enter the newly-created stable-diffusion folder. From this step forward make sure that you are working in the stable-diffusion directory! + ``` cd stable-diffusion ``` 6. Run the following two commands: + ``` conda env create -f environment.yaml (step 6a) conda activate ldm (step 6b) ``` + This will install all python requirements and activate the "ldm" environment which sets PATH and other environment variables properly. 7. Run the command: + ``` python scripts\preload_models.py ``` @@ -507,30 +532,32 @@ downloaded just-in-time) 8. Now you need to install the weights for the big stable diffusion model. For running with the released weights, you will first need to set up -an acount with Hugging Face (https://huggingface.co). Use your +an acount with Hugging Face (https://huggingface.co). Use your credentials to log in, and then point your browser at -https://huggingface.co/CompVis/stable-diffusion-v-1-4-original. You +https://huggingface.co/CompVis/stable-diffusion-v-1-4-original. You may be asked to sign a license agreement at this point. Click on "Files and versions" near the top of the page, and then click on the file named "sd-v1-4.ckpt". You'll be taken to a page that prompts you to click the "download" link. Now save the file somewhere -safe on your local machine. The weight file is >4 GB in size, so +safe on your local machine. The weight file is >4 GB in size, so downloading may take a while. Now run the following commands from **within the stable-diffusion directory** to copy the weights file to the right place: - + ``` mkdir -p models\ldm\stable-diffusion-v1 copy C:\path\to\sd-v1-4.ckpt models\ldm\stable-diffusion-v1\model.ckpt ``` + Please replace "C:\path\to\sd-v1.4.ckpt" with the correct path to wherever -you stashed this file. If you prefer not to copy or move the .ckpt file, +you stashed this file. If you prefer not to copy or move the .ckpt file, you may instead create a shortcut to it from within "models\ldm\stable-diffusion-v1\". 9. Start generating images! + ``` # for the pre-release weights python scripts\dream.py -l @@ -538,14 +565,17 @@ python scripts\dream.py -l # for the post-release weights python scripts\dream.py ``` + 10. Subsequently, to relaunch the script, first activate the Anaconda command window (step 3), enter the stable-diffusion directory (step 5, "cd \path\to\stable-diffusion"), run "conda activate ldm" (step 6b), and then launch the dream script (step 9). #### Updating to newer versions of the script This distribution is changing rapidly. If you used the "git clone" method (step 5) to download the stable-diffusion directory, then to update to the latest and greatest version, launch the Anaconda window, enter "stable-diffusion", and type: + ``` git pull ``` + This will bring your local copy into sync with the remote one. ## Simplified API for text to image generation @@ -554,22 +584,21 @@ For programmers who wish to incorporate stable-diffusion into other products, this repository includes a simplified API for text to image generation, which lets you create images from a prompt in just three lines of code: -~~~~ +``` from ldm.simplet2i import T2I model = T2I() outputs = model.txt2img("a unicorn in manhattan") -~~~~ +``` Outputs is a list of lists in the format [[filename1,seed1],[filename2,seed2]...] Please see ldm/simplet2i.py for more information. - ## Workaround for machines with limited internet connectivity My development machine is a GPU node in a high-performance compute cluster which has no connection to the internet. During model initialization, stable-diffusion tries to download the Bert tokenizer -and a file needed by the kornia library. This obviously didn't work +and a file needed by the kornia library. This obviously didn't work for me. To work around this, I have modified ldm/modules/encoders/modules.py @@ -580,7 +609,7 @@ prior to running the code on an isolated one. This assumes that both machines share a common network-mounted filesystem with a common .cache directory. -~~~~ +``` (ldm) ~/stable-diffusion$ python3 ./scripts/preload_models.py preloading bert tokenizer... Downloading: 100%|██████████████████████████████████| 28.0/28.0 [00:00<00:00, 49.3kB/s] @@ -592,7 +621,7 @@ preloading kornia requirements... Downloading: "https://github.com/DagnyT/hardnet/raw/master/pretrained/train_liberty_with_aug/checkpoint_liberty_with_aug.pth" to /u/lstein/.cache/torch/hub/checkpoints/checkpoint_liberty_with_aug.pth 100%|███████████████████████████████████████████████| 5.10M/5.10M [00:00<00:00, 101MB/s] ...success -~~~~ +``` If you don't need this change and want to download the files just in time, copy over the file ldm/modules/encoders/modules.py from the @@ -605,16 +634,15 @@ For support, please use this repository's GitHub Issues tracking service. Feel free to send me an email if you use and like the script. -*Original Author:* Lincoln D. Stein +_Original Author:_ Lincoln D. Stein -*Contributions by:* +_Contributions by:_ [Peter Kowalczyk](https://github.com/slix), [Henry Harrison](https://github.com/hwharrison), [xraxra](https://github.com/xraxra), [bmaltais](https://github.com/bmaltais), [Sean McLellan](https://github.com/Oceanswave), [nicolai256](https://github.com/nicolai256), [Benjamin Warner](https://github.com/warner-benjamin), [tildebyte](https://github.com/tildebyte),[yunsaki](https://github.com/yunsaki) and [Tesseract Cat](https://github.com/TesseractCat) - Original portions of the software are Copyright (c) 2020 Lincoln D. Stein (https://github.com/lstein) #Further Reading diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 3a3f205512..eae550bf69 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -14,6 +14,8 @@ from math import sqrt, floor, ceil from PIL import Image, PngImagePlugin # -------------------image generation utils----- + + class PngWriter: def __init__(self, outdir, prompt=None, batch_size=1): self.outdir = outdir @@ -23,9 +25,9 @@ class PngWriter: self.files_written = [] os.makedirs(outdir, exist_ok=True) - def write_image(self, image, seed): + def write_image(self, image, seed, upscaled=False): self.filepath = self.unique_filename( - seed, self.filepath + seed, upscaled, self.filepath ) # will increment name in some sensible way try: prompt = f'{self.prompt} -S{seed}' @@ -34,7 +36,7 @@ class PngWriter: print(e) self.files_written.append([self.filepath, seed]) - def unique_filename(self, seed, previouspath=None): + def unique_filename(self, seed, upscaled, previouspath=None): revision = 1 if previouspath is None: @@ -68,6 +70,8 @@ class PngWriter: if self.batch_size > 1 or os.path.exists( os.path.join(self.outdir, filename) ): + if upscaled: + break filename = f'{basecount:06}.{seed}.{series:02}.png' finished = not os.path.exists( os.path.join(self.outdir, filename) diff --git a/ldm/gfpgan/gfpgan_tools.py b/ldm/gfpgan/gfpgan_tools.py new file mode 100644 index 0000000000..f775e33a45 --- /dev/null +++ b/ldm/gfpgan/gfpgan_tools.py @@ -0,0 +1,165 @@ +import torch +import warnings +import os +import sys +import numpy as np + +from PIL import Image +from scripts.dream import create_argv_parser + +arg_parser = create_argv_parser() +opt = arg_parser.parse_args() + + +def _run_gfpgan(image, strength, prompt, seed, upsampler_scale=4): + print(f'\n* GFPGAN - Restoring Faces: {prompt} : seed:{seed}') + with warnings.catch_warnings(): + warnings.filterwarnings('ignore', category=DeprecationWarning) + warnings.filterwarnings('ignore', category=UserWarning) + + try: + model_path = os.path.join(opt.gfpgan_dir, opt.gfpgan_model_path) + if not os.path.isfile(model_path): + raise Exception('GFPGAN model not found at path ' + model_path) + + sys.path.append(os.path.abspath(opt.gfpgan_dir)) + from gfpgan import GFPGANer + + bg_upsampler = _load_gfpgan_bg_upsampler( + opt.gfpgan_bg_upsampler, upsampler_scale, opt.gfpgan_bg_tile + ) + + gfpgan = GFPGANer( + model_path=model_path, + upscale=upsampler_scale, + arch='clean', + channel_multiplier=2, + bg_upsampler=bg_upsampler, + ) + except Exception: + import traceback + + print('Error loading GFPGAN:', file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + + if gfpgan is None: + print( + f'GFPGAN not initialized, it must be loaded via the --gfpgan argument' + ) + return image + + image = image.convert('RGB') + + cropped_faces, restored_faces, restored_img = gfpgan.enhance( + np.array(image, dtype=np.uint8), + has_aligned=False, + only_center_face=False, + paste_back=True, + ) + res = Image.fromarray(restored_img) + + if strength < 1.0: + # Resize the image to the new image if the sizes have changed + if restored_img.size != image.size: + image = image.resize(res.size) + res = Image.blend(image, res, strength) + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + gfpgan = None + + return res + + +def _load_gfpgan_bg_upsampler(bg_upsampler, upsampler_scale, bg_tile=400): + if bg_upsampler == 'realesrgan': + if not torch.cuda.is_available(): # CPU + warnings.warn( + 'The unoptimized RealESRGAN is slow on CPU. We do not use it. ' + 'If you really want to use it, please modify the corresponding codes.' + ) + bg_upsampler = None + else: + model_path = { + 2: 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth', + 4: 'https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth', + } + + if upsampler_scale not in model_path: + return None + + from basicsr.archs.rrdbnet_arch import RRDBNet + from realesrgan import RealESRGANer + + if upsampler_scale == 4: + model = RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=23, + num_grow_ch=32, + scale=4, + ) + if upsampler_scale == 2: + model = RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=23, + num_grow_ch=32, + scale=2, + ) + + bg_upsampler = RealESRGANer( + scale=upsampler_scale, + model_path=model_path[upsampler_scale], + model=model, + tile=bg_tile, + tile_pad=10, + pre_pad=0, + half=True, + ) # need to set False in CPU mode + else: + bg_upsampler = None + + return bg_upsampler + + +def real_esrgan_upscale(image, strength, upsampler_scale, prompt, seed): + print( + f'\n* Real-ESRGAN Upscaling: {prompt} : seed:{seed} : scale:{upsampler_scale}x' + ) + + with warnings.catch_warnings(): + warnings.filterwarnings('ignore', category=DeprecationWarning) + warnings.filterwarnings('ignore', category=UserWarning) + + try: + upsampler = _load_gfpgan_bg_upsampler( + opt.gfpgan_bg_upsampler, upsampler_scale, opt.gfpgan_bg_tile + ) + except Exception: + import traceback + + print('Error loading Real-ESRGAN:', file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + + output, img_mode = upsampler.enhance( + np.array(image, dtype=np.uint8), + outscale=upsampler_scale, + alpha_upsampler=opt.gfpgan_bg_upsampler, + ) + + res = Image.fromarray(output) + + if strength < 1.0: + # Resize the image to the new image if the sizes have changed + if output.size != image.size: + image = image.resize(res.size) + res = Image.blend(image, res, strength) + + if torch.cuda.is_available(): + torch.cuda.empty_cache() + upsampler = None + + return res diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 86b3483a34..ef268a6282 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -7,7 +7,6 @@ import torch import numpy as np import random -import sys import os from omegaconf import OmegaConf from PIL import Image @@ -21,7 +20,6 @@ from contextlib import contextmanager, nullcontext import transformers import time import re -import traceback from ldm.util import instantiate_from_config from ldm.models.diffusion.ddim import DDIMSampler @@ -133,9 +131,9 @@ class T2I: full_precision=False, strength=0.75, # default in scripts/img2img.py embedding_path=None, - latent_diffusion_weights=False, # just to keep track of this parameter when regenerating prompt + # just to keep track of this parameter when regenerating prompt + latent_diffusion_weights=False, device='cuda', - gfpgan=None, ): self.batch_size = batch_size self.iterations = iterations @@ -157,7 +155,7 @@ class T2I: self.sampler = None self.latent_diffusion_weights = latent_diffusion_weights self.device = device - self.gfpgan = gfpgan + self.session_peakmem = torch.cuda.max_memory_allocated() if seed is None: self.seed = self._new_seed() @@ -176,7 +174,8 @@ class T2I: outdir, prompt, kwargs.get('batch_size', self.batch_size) ) for r in results: - metadata_str = f'prompt2png("{prompt}" {kwargs} seed={r[1]}' # gets written into the PNG + # gets written into the PNG + metadata_str = f'prompt2png("{prompt}" {kwargs} seed={r[1]}' pngwriter.write_image(r[0], r[1]) return pngwriter.files_written @@ -210,6 +209,8 @@ class T2I: init_img=None, strength=None, gfpgan_strength=None, + save_original=False, + upscale=None, variants=None, **args, ): # eat up additional cruft @@ -266,7 +267,7 @@ class T2I: f'Height and width must be multiples of 64. Resizing to {h}x{w}.' ) height = h - width = w + width = w scope = autocast if self.precision == 'autocast' else nullcontext @@ -302,29 +303,47 @@ class T2I: ) with scope(self.device.type), self.model.ema_scope(): - for n in trange(iterations, desc='Sampling'): + for n in trange(iterations, desc='Generating'): seed_everything(seed) iter_images = next(images_iterator) for image in iter_images: - try: - # if gfpgan strength is none or less than or equal to 0.0 then - # don't even attempt to use GFPGAN. - # if the user specified a value of -G that satisifies the condition and - # --gfpgan wasn't specified, at startup then - # the net result is a message gets printed - nothing else happens. - if gfpgan_strength is not None and gfpgan_strength > 0.0: - image = self._run_gfpgan( - image, gfpgan_strength - ) - except Exception as e: - print( - f'Error running GFPGAN - Your image was not enhanced.\n{e}' - ) results.append([image, seed]) if image_callback is not None: image_callback(image, seed) seed = self._new_seed() + if upscale is not None or gfpgan_strength > 0: + for result in results: + image, seed = result + try: + if upscale is not None: + from ldm.gfpgan.gfpgan_tools import ( + real_esrgan_upscale, + ) + + image = real_esrgan_upscale( + image, + upscale[1], + int(upscale[0]), + prompt, + seed, + ) + if gfpgan_strength > 0: + from ldm.gfpgan.gfpgan_tools import _run_gfpgan + + image = _run_gfpgan( + image, gfpgan_strength, prompt, seed, 1 + ) + except Exception as e: + print( + f'Error running RealESRGAN - Your image was not upscaled.\n{e}' + ) + if image_callback is not None: + if save_original: + image_callback(image, seed) + else: + image_callback(image, seed, upscaled=True) + except KeyboardInterrupt: print('*interrupted*') print( @@ -335,11 +354,21 @@ class T2I: print('Are you sure your system has an adequate NVIDIA GPU?') toc = time.time() - self.session_peakmem = max(self.session_peakmem,torch.cuda.max_memory_allocated() ) + self.session_peakmem = max( + self.session_peakmem, torch.cuda.max_memory_allocated() + ) print('Usage stats:') - print(f' {len(results)} image(s) generated in', '%4.2fs' % (toc - tic)) - print(f' Max VRAM used for this generation:', '%4.2fG' % (torch.cuda.max_memory_allocated()/1E9)) - print(f' Max VRAM used since script start: ', '%4.2fG' % (self.session_peakmem/1E9)) + print( + f' {len(results)} image(s) generated in', '%4.2fs' % (toc - tic) + ) + print( + f' Max VRAM used for this generation:', + '%4.2fG' % (torch.cuda.max_memory_allocated() / 1e9), + ) + print( + f' Max VRAM used since script start: ', + '%4.2fG' % (self.session_peakmem / 1e9), + ) return results @torch.no_grad() @@ -498,7 +527,9 @@ class T2I: self.device = self._get_device() model = self._load_model_from_config(config, self.weights) if self.embedding_path is not None: - model.embedding_manager.load(self.embedding_path, self.full_precision) + model.embedding_manager.load( + self.embedding_path, self.full_precision + ) self.model = model.to(self.device) # model.to doesn't change the cond_stage_model.device used to move the tokenizer output, so set it here self.model.cond_stage_model.device = self.device @@ -561,7 +592,7 @@ class T2I: def _load_img(self, path): with Image.open(path) as img: - image = img.convert("RGB") + image = img.convert('RGB') w, h = image.size print(f'loaded input image of size ({w}, {h}) from {path}') @@ -620,28 +651,3 @@ class T2I: weights.append(1.0) remaining = 0 return prompts, weights - - def _run_gfpgan(self, image, strength): - if self.gfpgan is None: - print( - f'GFPGAN not initialized, it must be loaded via the --gfpgan argument' - ) - return image - - image = image.convert('RGB') - - cropped_faces, restored_faces, restored_img = self.gfpgan.enhance( - np.array(image, dtype=np.uint8), - has_aligned=False, - only_center_face=False, - paste_back=True, - ) - res = Image.fromarray(restored_img) - - if strength < 1.0: - # Resize the image to the new image if the sizes have changed - if restored_img.size != image.size: - image = image.resize(res.size) - res = Image.blend(image, res, strength) - - return res diff --git a/scripts/dream.py b/scripts/dream.py index cb27191814..922f9fffbf 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -10,6 +10,7 @@ import warnings import ldm.dream.readline from ldm.dream.pngwriter import PngWriter, PromptFormatter + def main(): """Initialize command-line parsers and the diffusion model""" arg_parser = create_argv_parser() @@ -66,53 +67,18 @@ def main(): if opt.infile: try: if os.path.isfile(opt.infile): - infile = open(opt.infile,'r') - elif opt.infile=='-': # stdin + infile = open(opt.infile, 'r') + elif opt.infile == '-': # stdin infile = sys.stdin else: raise FileNotFoundError(f'{opt.infile} not found.') - except (FileNotFoundError,IOError) as e: + except (FileNotFoundError, IOError) as e: print(f'{e}. Aborting.') sys.exit(-1) # preload the model t2i.load_model() - # load GFPGAN if requested - if opt.use_gfpgan: - print('\n* --gfpgan was specified, loading gfpgan...') - with warnings.catch_warnings(): - warnings.filterwarnings('ignore', category=DeprecationWarning) - - try: - model_path = os.path.join( - opt.gfpgan_dir, opt.gfpgan_model_path - ) - if not os.path.isfile(model_path): - raise Exception( - 'GFPGAN model not found at path ' + model_path - ) - - sys.path.append(os.path.abspath(opt.gfpgan_dir)) - from gfpgan import GFPGANer - - bg_upsampler = load_gfpgan_bg_upsampler( - opt.gfpgan_bg_upsampler, opt.gfpgan_bg_tile - ) - - t2i.gfpgan = GFPGANer( - model_path=model_path, - upscale=opt.gfpgan_upscale, - arch='clean', - channel_multiplier=2, - bg_upsampler=bg_upsampler, - ) - except Exception: - import traceback - - print('Error loading GFPGAN:', file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) - if not infile: print( "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." @@ -240,9 +206,10 @@ def main_loop(t2i, outdir, parser, log_path, infile): print('goodbye!') + def get_next_command(infile=None) -> 'command string': if infile is None: - command = input("dream> ") + command = input('dream> ') else: command = infile.readline() if not command: @@ -251,44 +218,6 @@ def get_next_command(infile=None) -> 'command string': command = command.strip() print(f'#{command}') return command - -def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): - import torch - - if bg_upsampler == 'realesrgan': - if not torch.cuda.is_available(): # CPU - import warnings - - warnings.warn( - 'The unoptimized RealESRGAN is slow on CPU. We do not use it. ' - 'If you really want to use it, please modify the corresponding codes.' - ) - bg_upsampler = None - else: - from basicsr.archs.rrdbnet_arch import RRDBNet - from realesrgan import RealESRGANer - - model = RRDBNet( - num_in_ch=3, - num_out_ch=3, - num_feat=64, - num_block=23, - num_grow_ch=32, - scale=2, - ) - bg_upsampler = RealESRGANer( - scale=2, - model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth', - model=model, - tile=bg_tile, - tile_pad=10, - pre_pad=0, - half=True, - ) # need to set False in CPU mode - else: - bg_upsampler = None - - return bg_upsampler # variant generation is going to be superseded by a generalized @@ -320,10 +249,10 @@ def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): ### the t2i variable doesn't seem to be necessary here. maybe remove it? def write_log_message(t2i, prompt, results, log_path): """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" - log_lines = [f"{r[0]}: {prompt} -S{r[1]}\n" for r in results] - print(*log_lines, sep="") + log_lines = [f'{r[0]}: {prompt} -S{r[1]}\n' for r in results] + print(*log_lines, sep='') - with open(log_path, "a") as file: + with open(log_path, 'a') as file: file.writelines(log_lines) @@ -396,18 +325,6 @@ def create_argv_parser(): help='device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if avalible', ) # GFPGAN related args - parser.add_argument( - '--gfpgan', - dest='use_gfpgan', - action='store_true', - help='load gfpgan for use in the dreambot. Note: Enabling GFPGAN will require more GPU memory', - ) - parser.add_argument( - '--gfpgan_upscale', - type=int, - default=2, - help='The final upsampling scale of the image. Default: 2. Only used if --gfpgan is specified', - ) parser.add_argument( '--gfpgan_bg_upsampler', type=str, @@ -499,10 +416,24 @@ def create_cmd_parser(): parser.add_argument( '-G', '--gfpgan_strength', - default=None, + 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=2, + default=None, + type=float, + help='Scale factor for Real-ESRGAN. Either use 2 or 4.', + ) + 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( diff --git a/scripts/preload_models.py b/scripts/preload_models.py index 624b61e48e..ba7b242ece 100755 --- a/scripts/preload_models.py +++ b/scripts/preload_models.py @@ -3,6 +3,9 @@ # Before running stable-diffusion on an internet-isolated machine, # run this script from one with internet connectivity. The # two machines must share a common .cache directory. +from transformers import CLIPTokenizer, CLIPTextModel +import clip +from transformers import BertTokenizerFast import sys import transformers import os @@ -12,7 +15,6 @@ transformers.logging.set_verbosity_error() # this will preload the Bert tokenizer fles print('preloading bert tokenizer...') -from transformers import BertTokenizerFast tokenizer = BertTokenizerFast.from_pretrained('bert-base-uncased') print('...success') @@ -28,8 +30,6 @@ version = 'openai/clip-vit-large-patch14' print('preloading CLIP model (Ignore the deprecation warnings)...') sys.stdout.flush() -import clip -from transformers import CLIPTokenizer, CLIPTextModel tokenizer = CLIPTokenizer.from_pretrained(version) transformer = CLIPTextModel.from_pretrained(version) @@ -63,6 +63,20 @@ if gfpgan: scale=2, ), ) + + RealESRGANer( + scale=4, + model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth', + model=RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=23, + num_grow_ch=32, + scale=4, + ), + ) + FaceRestoreHelper(1, det_model='retinaface_resnet50') print('...success') except Exception: From e0de42bd0316d30a05fbdc4f8307f9a62917b3cd Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Mon, 29 Aug 2022 08:25:55 +1200 Subject: [PATCH 16/42] Update README.md --- README.md | 70 ++----------------------------------------------------- 1 file changed, 2 insertions(+), 68 deletions(-) diff --git a/README.md b/README.md index 1c7ccef2ce..f5330df0fa 100644 --- a/README.md +++ b/README.md @@ -372,79 +372,13 @@ repository and associated paper for details and limitations. tokenizer. - v1.03 (22 August 2022) + - The original txt2img and img2img scripts from the CompViz repository have been moved into a subfolder named "orig_scripts", to reduce confusion. + - v1.02 (21 August 2022) - A copy of the prompt and all of its switches and options is now stored in the corresponding -======= - * v1.12 (28 August 2022) - * Improved file handling, including ability to read prompts from standard input. - (kudos to [Yunsaki](https://github.com/yunsaki) - - * v1.11 (26 August 2022) - * NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave) - * You now can specify a seed of -1 to use the previous image's seed, -2 to use the seed for the image generated before that, etc. - Seed memory only extends back to the previous command, but will work on all images generated with the -n# switch. - * Variant generation support temporarily disabled pending more general solution. - * Created a feature branch named **yunsaki-morphing-dream** which adds experimental support for - iteratively modifying the prompt and its parameters. Please see[ Pull Request #86](https://github.com/lstein/stable-diffusion/pull/86) - for a synopsis of how this works. Note that when this feature is eventually added to the main branch, it will may be modified - significantly. - -* v1.10 (25 August 2022) - * A barebones but fully functional interactive web server for online generation of txt2img and img2img. - -* v1.09 (24 August 2022) - * A new -v option allows you to generate multiple variants of an initial image - in img2img mode. (kudos to [Oceanswave](https://github.com/Oceanswave). [ - See this discussion in the PR for examples and details on use](https://github.com/lstein/stable-diffusion/pull/71#issuecomment-1226700810)) - * Added ability to personalize text to image generation (kudos to [Oceanswave](https://github.com/Oceanswave) and [nicolai256](https://github.com/nicolai256)) - * Enabled all of the samplers from k_diffusion - -* v1.08 (24 August 2022) - * Escape single quotes on the dream> command before trying to parse. This avoids - parse errors. - * Removed instruction to get Python3.8 as first step in Windows install. - Anaconda3 does it for you. - * Added bounds checks for numeric arguments that could cause crashes. - * Cleaned up the copyright and license agreement files. - -* v1.07 (23 August 2022) - * Image filenames will now never fill gaps in the sequence, but will be assigned the - next higher name in the chosen directory. This ensures that the alphabetic and chronological - sort orders are the same. - -* v1.06 (23 August 2022) - * Added weighted prompt support contributed by [xraxra](https://github.com/xraxra) - * Example of using weighted prompts to tweak a demonic figure contributed by [bmaltais](https://github.com/bmaltais) - -* v1.05 (22 August 2022 - after the drop) - * Filenames now use the following formats: - 000010.95183149.png -- Two files produced by the same command (e.g. -n2), - 000010.26742632.png -- distinguished by a different seed. - - 000011.455191342.01.png -- Two files produced by the same command using - 000011.455191342.02.png -- a batch size>1 (e.g. -b2). They have the same seed. - - 000011.4160627868.grid#1-4.png -- a grid of four images (-g); the whole grid can - be regenerated with the indicated key - - * It should no longer be possible for one image to overwrite another - * You can use the "cd" and "pwd" commands at the dream> prompt to set and retrieve - the path of the output directory. (NOTE: Removed in v1.12) - -* v1.04 (22 August 2022 - after the drop) - * Updated README to reflect installation of the released weights. - * Suppressed very noisy and inconsequential warning when loading the frozen CLIP - tokenizer. - -* v1.03 (22 August 2022) - * The original txt2img and img2img scripts from the CompViz repository have been moved into - a subfolder named "orig_scripts", to reduce confusion. - -* v1.02 (21 August 2022) - * A copy of the prompt and all of its switches and options is now stored in the corresponding image in a tEXt metadata field named "Dream". You can read the prompt using scripts/images2prompt.py, or an image editor that allows you to explore the full metadata. **Please run "conda env update -f environment.yaml" to load the k_lms dependencies!!** From 7dfca3dcb5e792ba357ad97d71801ad85f602988 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 16:37:27 -0400 Subject: [PATCH 17/42] moved scripts/dream_server.py into ldm/dream/server.py --- README.md | 12 +- ldm/dream/server.py | 548 ++++++++++++++++++++++++++++++++++++ scripts/dream.py | 45 ++- scripts/dream_web.py | 114 -------- static/dream_web/index.html | 3 + 5 files changed, 594 insertions(+), 128 deletions(-) create mode 100644 ldm/dream/server.py delete mode 100644 scripts/dream_web.py diff --git a/README.md b/README.md index 549ac50f04..1cd1cc2206 100644 --- a/README.md +++ b/README.md @@ -155,17 +155,15 @@ a few seconds to image generation. However, if can afford a 3090s with ## Barebones Web Server As of version 1.10, this distribution comes with a bare bones web -server (see screenshot). To use it, run the command: - -~~~~ -(ldm) ~/stable-diffusion$ python3 scripts/dream_web.py -~~~~ +server (see screenshot). To use it, run the *dream.py* script by +adding the **--web** option. You can then connect to the server by pointing your web browser at http://localhost:9090, or to the network name or IP address of the server. Kudos to [Tesseract Cat](https://github.com/TesseractCat) for -contributing this code. +contributing this code, and to [dagf2101](https://github.com/dagf2101) +for refining it. ![Dream Web Server](static/dream_web_server.png) @@ -307,6 +305,8 @@ repository and associated paper for details and limitations. * v1.12 (28 August 2022) * Improved file handling, including ability to read prompts from standard input. (kudos to [Yunsaki](https://github.com/yunsaki) + * The web server is now integrated with the dream.py script. Invoke by adding --web to + the dream.py command arguments. * v1.11 (26 August 2022) * NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave) diff --git a/ldm/dream/server.py b/ldm/dream/server.py new file mode 100644 index 0000000000..7cfa20dcd8 --- /dev/null +++ b/ldm/dream/server.py @@ -0,0 +1,548 @@ +#!/usr/bin/env python3 +# Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein) + +import argparse +import shlex +import os +import sys +import copy +import warnings +import ldm.dream.readline +from ldm.dream.pngwriter import PngWriter, PromptFormatter +from dream_server import DreamServer, ThreadingDreamServer + +def main(): + """Initialize command-line parsers and the diffusion model""" + arg_parser = create_argv_parser() + opt = arg_parser.parse_args() + if opt.laion400m: + # defaults suitable to the older latent diffusion weights + width = 256 + height = 256 + config = 'configs/latent-diffusion/txt2img-1p4B-eval.yaml' + weights = 'models/ldm/text2img-large/model.ckpt' + else: + # some defaults suitable for stable diffusion weights + width = 512 + height = 512 + config = 'configs/stable-diffusion/v1-inference.yaml' + weights = 'models/ldm/stable-diffusion-v1/model.ckpt' + + print('* Initializing, be patient...\n') + sys.path.append('.') + from pytorch_lightning import logging + from ldm.simplet2i import T2I + + # these two lines prevent a horrible warning message from appearing + # when the frozen CLIP tokenizer is imported + import transformers + + transformers.logging.set_verbosity_error() + + # creating a simple text2image object with a handful of + # defaults passed on the command line. + # additional parameters will be added (or overriden) during + # the user input loop + t2i = T2I( + width=width, + height=height, + sampler_name=opt.sampler_name, + weights=weights, + full_precision=opt.full_precision, + config=config, + latent_diffusion_weights=opt.laion400m, # this is solely for recreating the prompt + embedding_path=opt.embedding_path, + device=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) + + # load the infile as a list of lines + infile = None + if opt.infile: + try: + if os.path.isfile(opt.infile): + infile = open(opt.infile,'r') + elif opt.infile=='-': # stdin + infile = sys.stdin + else: + raise FileNotFoundError(f'{opt.infile} not found.') + except (FileNotFoundError,IOError) as e: + print(f'{e}. Aborting.') + sys.exit(-1) + + # preload the model + t2i.load_model() + + # load GFPGAN if requested + if opt.use_gfpgan: + print('\n* --gfpgan was specified, loading gfpgan...') + with warnings.catch_warnings(): + warnings.filterwarnings('ignore', category=DeprecationWarning) + + try: + model_path = os.path.join( + opt.gfpgan_dir, opt.gfpgan_model_path + ) + if not os.path.isfile(model_path): + raise Exception( + 'GFPGAN model not found at path ' + model_path + ) + + sys.path.append(os.path.abspath(opt.gfpgan_dir)) + from gfpgan import GFPGANer + + bg_upsampler = load_gfpgan_bg_upsampler( + opt.gfpgan_bg_upsampler, opt.gfpgan_bg_tile + ) + + t2i.gfpgan = GFPGANer( + model_path=model_path, + upscale=opt.gfpgan_upscale, + arch='clean', + channel_multiplier=2, + bg_upsampler=bg_upsampler, + ) + except Exception: + import traceback + + print('Error loading GFPGAN:', file=sys.stderr) + print(traceback.format_exc(), file=sys.stderr) + + log_path = os.path.join(opt.outdir, 'dream_log.txt') + with open(log_path, 'a') as log: + cmd_parser = create_cmd_parser() + if opt.web: + dream_server_loop(t2i) + else: + main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) + log.close() + +def main_loop(t2i, outdir, parser, log_path, infile): + print( + "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." + ) + """prompt/read/execute loop""" + done = False + last_seeds = [] + + while not done: + try: + command = get_next_command(infile) + except EOFError: + done = True + break + + # skip empty lines + if not command.strip(): + continue + + if command.startswith(('#', '//')): + continue + + # before splitting, escape single quotes so as not to mess + # up the parser + command = command.replace("'", "\\'") + + try: + elements = shlex.split(command) + except ValueError as e: + print(str(e)) + continue + + if elements[0] == 'q': + done = True + break + + if elements[0].startswith( + '!dream' + ): # in case a stored prompt still contains the !dream command + elements.pop(0) + + # rearrange the arguments to mimic how it works in the Dream bot. + switches = [''] + switches_started = False + + for el in elements: + if el[0] == '-' and not switches_started: + switches_started = True + if switches_started: + switches.append(el) + else: + switches[0] += el + switches[0] += ' ' + switches[0] = switches[0][: len(switches[0]) - 1] + + try: + opt = parser.parse_args(switches) + except SystemExit: + parser.print_help() + continue + if len(opt.prompt) == 0: + print('Try again with a prompt!') + continue + if opt.seed is not None and opt.seed < 0: # retrieve previous value! + try: + opt.seed = last_seeds[opt.seed] + print(f'reusing previous seed {opt.seed}') + except IndexError: + print(f'No previous seed at position {opt.seed} found') + opt.seed = None + + normalized_prompt = PromptFormatter(t2i, opt).normalize_prompt() + individual_images = not opt.grid + if opt.outdir: + if not os.path.exists(opt.outdir): + os.makedirs(opt.outdir) + current_outdir = opt.outdir + else: + current_outdir = outdir + + # Here is where the images are actually generated! + try: + file_writer = PngWriter(current_outdir, normalized_prompt, opt.batch_size) + callback = file_writer.write_image if individual_images else None + image_list = t2i.prompt2image(image_callback=callback, **vars(opt)) + results = ( + file_writer.files_written if individual_images else image_list + ) + + if opt.grid and len(results) > 0: + grid_img = file_writer.make_grid([r[0] for r in results]) + filename = file_writer.unique_filename(results[0][1]) + seeds = [a[1] for a in results] + results = [[filename, seeds]] + metadata_prompt = f'{normalized_prompt} -S{results[0][1]}' + file_writer.save_image_and_prompt_to_png( + grid_img, metadata_prompt, filename + ) + + last_seeds = [r[1] for r in results] + + except AssertionError as e: + print(e) + continue + + except OSError as e: + print(e) + continue + + print('Outputs:') + write_log_message(t2i, normalized_prompt, results, log_path) + + print('goodbye!') + +def get_next_command(infile=None) -> 'command string': + if infile is None: + command = input("dream> ") + else: + command = infile.readline() + if not command: + raise EOFError + else: + command = command.strip() + print(f'#{command}') + return command + +def dream_server_loop(t2i): + print('\n* --web was specified, starting web server...') + # Change working directory to the stable-diffusion directory + os.chdir( + os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) + ) + + # Start server + DreamServer.model = t2i + dream_server = ThreadingDreamServer(("0.0.0.0", 9090)) + print("\nStarted Stable Diffusion dream server!") + print("Point your browser at http://localhost:9090 or use the host's DNS name or IP address.") + + try: + dream_server.serve_forever() + except KeyboardInterrupt: + pass + + dream_server.server_close() + +def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): + import torch + + if bg_upsampler == 'realesrgan': + if not torch.cuda.is_available(): # CPU + import warnings + + warnings.warn( + 'The unoptimized RealESRGAN is slow on CPU. We do not use it. ' + 'If you really want to use it, please modify the corresponding codes.' + ) + bg_upsampler = None + else: + from basicsr.archs.rrdbnet_arch import RRDBNet + from realesrgan import RealESRGANer + + model = RRDBNet( + num_in_ch=3, + num_out_ch=3, + num_feat=64, + num_block=23, + num_grow_ch=32, + scale=2, + ) + bg_upsampler = RealESRGANer( + scale=2, + model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth', + model=model, + tile=bg_tile, + tile_pad=10, + pre_pad=0, + half=True, + ) # need to set False in CPU mode + else: + bg_upsampler = None + + return bg_upsampler + + +# variant generation is going to be superseded by a generalized +# "prompt-morph" functionality +# def generate_variants(t2i,outdir,opt,previous_gens): +# variants = [] +# print(f"Generating {opt.variants} variant(s)...") +# newopt = copy.deepcopy(opt) +# newopt.iterations = 1 +# newopt.variants = None +# for r in previous_gens: +# newopt.init_img = r[0] +# prompt = PromptFormatter(t2i,newopt).normalize_prompt() +# print(f"] generating variant for {newopt.init_img}") +# for j in range(0,opt.variants): +# try: +# file_writer = PngWriter(outdir,prompt,newopt.batch_size) +# callback = file_writer.write_image +# t2i.prompt2image(image_callback=callback,**vars(newopt)) +# results = file_writer.files_written +# variants.append([prompt,results]) +# except AssertionError as e: +# print(e) +# continue +# print(f'{opt.variants} variants generated') +# return variants + + +### the t2i variable doesn't seem to be necessary here. maybe remove it? +def write_log_message(t2i, prompt, results, log_path): + """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" + log_lines = [f"{r[0]}: {prompt} -S{r[1]}\n" for r in results] + print(*log_lines, sep="") + + with open(log_path, "a") as file: + file.writelines(log_lines) + + +def create_argv_parser(): + parser = argparse.ArgumentParser( + description="Parse script's command line args" + ) + parser.add_argument( + '--laion400m', + '--latent_diffusion', + '-l', + dest='laion400m', + action='store_true', + help='fallback to the latent diffusion (laion400m) weights and config', + ) + parser.add_argument( + '--from_file', + dest='infile', + type=str, + help='if specified, load prompts from this file', + ) + parser.add_argument( + '-n', + '--iterations', + type=int, + default=1, + help='number of images to generate', + ) + parser.add_argument( + '-F', + '--full_precision', + dest='full_precision', + action='store_true', + help='use slower full precision math for calculations', + ) + parser.add_argument( + '--sampler', + '-m', + dest='sampler_name', + choices=[ + 'ddim', + 'k_dpm_2_a', + 'k_dpm_2', + 'k_euler_a', + 'k_euler', + 'k_heun', + 'k_lms', + 'plms', + ], + default='k_lms', + help='which sampler to use (k_lms) - can only be set on command line', + ) + parser.add_argument( + '--outdir', + '-o', + type=str, + default='outputs/img-samples', + help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', + ) + parser.add_argument( + '--embedding_path', + type=str, + help='Path to a pre-trained embedding manager checkpoint - can only be set on command line', + ) + parser.add_argument( + '--device', + '-d', + type=str, + default='cuda', + help='device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if avalible', + ) + # GFPGAN related args + parser.add_argument( + '--gfpgan', + dest='use_gfpgan', + action='store_true', + help='load gfpgan for use in the dreambot. Note: Enabling GFPGAN will require more GPU memory', + ) + parser.add_argument( + '--gfpgan_upscale', + type=int, + default=2, + help='The final upsampling scale of the image. Default: 2. Only used if --gfpgan is specified', + ) + parser.add_argument( + '--gfpgan_bg_upsampler', + type=str, + default='realesrgan', + help='Background upsampler. Default: None. Options: realesrgan, none. Only used if --gfpgan is specified', + ) + parser.add_argument( + '--gfpgan_bg_tile', + type=int, + default=400, + help='Tile size for background sampler, 0 for no tile during testing. Default: 400. Only used if --gfpgan is specified', + ) + parser.add_argument( + '--gfpgan_model_path', + type=str, + default='experiments/pretrained_models/GFPGANv1.3.pth', + help='indicates the path to the GFPGAN model, relative to --gfpgan_dir. Only used if --gfpgan is specified', + ) + parser.add_argument( + '--gfpgan_dir', + type=str, + default='../GFPGAN', + help='indicates the directory containing the GFPGAN code. Only used if --gfpgan is specified', + ) + parser.add_argument( + '--web', + dest='web', + action='store_true', + help='start in web server mode.', + ) + return parser + + +def create_cmd_parser(): + parser = argparse.ArgumentParser( + description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12' + ) + parser.add_argument('prompt') + 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( + '-b', + '--batch_size', + type=int, + default=1, + help='number of images to produce per sampling (will not 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='prompt configuration scale', + ) + parser.add_argument( + '-g', '--grid', action='store_true', help='generate a grid' + ) + parser.add_argument( + '--outdir', + '-o', + type=str, + default=None, + help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', + ) + 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( + '-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=None, + type=float, + help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.', + ) + # 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', + ) + return parser + + +if __name__ == '__main__': + main() diff --git a/scripts/dream.py b/scripts/dream.py index 4473f3a307..e10133134a 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -9,6 +9,7 @@ import copy import warnings import ldm.dream.readline from ldm.dream.pngwriter import PngWriter, PromptFormatter +from ldm.dream.server import DreamServer, ThreadingDreamServer def main(): """Initialize command-line parsers and the diffusion model""" @@ -113,17 +114,19 @@ def main(): print('Error loading GFPGAN:', file=sys.stderr) print(traceback.format_exc(), file=sys.stderr) - if not infile: - print( - "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit)" - ) - log_path = os.path.join(opt.outdir, 'dream_log.txt') - cmd_parser = create_cmd_parser() - main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) - + with open(log_path, 'a') as log: + cmd_parser = create_cmd_parser() + if opt.web: + dream_server_loop(t2i) + else: + main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) + log.close() def main_loop(t2i, outdir, parser, log_path, infile): + print( + "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." + ) """prompt/read/execute loop""" done = False last_seeds = [] @@ -246,6 +249,26 @@ def get_next_command(infile=None) -> 'command string': print(f'#{command}') return command +def dream_server_loop(t2i): + print('\n* --web was specified, starting web server...') + # Change working directory to the stable-diffusion directory + os.chdir( + os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) + ) + + # Start server + DreamServer.model = t2i + dream_server = ThreadingDreamServer(("0.0.0.0", 9090)) + print("\nStarted Stable Diffusion dream server!") + print("Point your browser at http://localhost:9090 or use the host's DNS name or IP address.") + + try: + dream_server.serve_forever() + except KeyboardInterrupt: + pass + + dream_server.server_close() + def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): import torch @@ -426,6 +449,12 @@ def create_argv_parser(): default='../GFPGAN', help='indicates the directory containing the GFPGAN code. Only used if --gfpgan is specified', ) + parser.add_argument( + '--web', + dest='web', + action='store_true', + help='start in web server mode.', + ) return parser diff --git a/scripts/dream_web.py b/scripts/dream_web.py deleted file mode 100644 index 227e8acdc7..0000000000 --- a/scripts/dream_web.py +++ /dev/null @@ -1,114 +0,0 @@ -import json -import base64 -import mimetypes -import os -from pytorch_lightning import logging -from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer - -print("Loading model...") -from ldm.simplet2i import T2I -model = T2I(sampler_name='k_lms') - -# to get rid of annoying warning messages from pytorch -import transformers -transformers.logging.set_verbosity_error() -logging.getLogger("pytorch_lightning").setLevel(logging.ERROR) - -print("Initializing model, be patient...") -model.load_model() - -class DreamServer(BaseHTTPRequestHandler): - def do_GET(self): - if self.path == "/": - self.send_response(200) - self.send_header("Content-type", "text/html") - self.end_headers() - with open("./static/dream_web/index.html", "rb") as content: - self.wfile.write(content.read()) - elif os.path.exists("." + self.path): - mime_type = mimetypes.guess_type(self.path)[0] - if mime_type is not None: - self.send_response(200) - self.send_header("Content-type", mime_type) - self.end_headers() - with open("." + self.path, "rb") as content: - self.wfile.write(content.read()) - else: - self.send_response(404) - else: - self.send_response(404) - - def do_POST(self): - self.send_response(200) - self.send_header("Content-type", "application/json") - self.end_headers() - - content_length = int(self.headers['Content-Length']) - post_data = json.loads(self.rfile.read(content_length)) - prompt = post_data['prompt'] - initimg = post_data['initimg'] - iterations = int(post_data['iterations']) - steps = int(post_data['steps']) - width = int(post_data['width']) - height = int(post_data['height']) - cfgscale = float(post_data['cfgscale']) - seed = None if int(post_data['seed']) == -1 else int(post_data['seed']) - - print(f"Request to generate with prompt: {prompt}") - - outputs = [] - if initimg is None: - # Run txt2img - outputs = model.txt2img(prompt, - iterations=iterations, - cfg_scale = cfgscale, - width = width, - height = height, - seed = seed, - steps = steps) - else: - # Decode initimg as base64 to temp file - with open("./img2img-tmp.png", "wb") as f: - initimg = initimg.split(",")[1] # Ignore mime type - f.write(base64.b64decode(initimg)) - - # Run img2img - outputs = model.img2img(prompt, - init_img = "./img2img-tmp.png", - iterations = iterations, - cfg_scale = cfgscale, - seed = seed, - steps = steps) - # Remove the temp file - os.remove("./img2img-tmp.png") - - print(f"Prompt generated with output: {outputs}") - - post_data['initimg'] = '' # Don't send init image back - - # Append post_data to log - with open("./outputs/img-samples/dream_web_log.txt", "a") as log: - for output in outputs: - log.write(f"{output[0]}: {json.dumps(post_data)}\n") - - outputs = [x + [post_data] for x in outputs] # Append config to each output - result = {'outputs': outputs} - self.wfile.write(bytes(json.dumps(result), "utf-8")) - -if __name__ == "__main__": - # Change working directory to the stable-diffusion directory - os.chdir( - os.path.abspath(os.path.join(os.path.dirname( __file__ ), '..')) - ) - - # Start server - dream_server = ThreadingHTTPServer(("0.0.0.0", 9090), DreamServer) - print("\n\n* Started Stable Diffusion dream server! Point your browser at http://localhost:9090 or use the host's DNS name or IP address. *") - - try: - dream_server.serve_forever() - except KeyboardInterrupt: - pass - - dream_server.server_close() - diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 4dccd05fb3..ebc5dd80ee 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -52,6 +52,9 @@ +
+ + From 7c485a1a4ac28277e69607f0799b3def4ccbfd87 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 17:26:39 -0400 Subject: [PATCH 18/42] adjusted -U upscaling argument so that it defaults to upscaling strength 0.75 if the second argument is not given --- README.md | 73 +++++++++++++++++++++++++++++++++--------------- ldm/simplet2i.py | 3 +- scripts/dream.py | 12 ++++---- 3 files changed, 59 insertions(+), 29 deletions(-) diff --git a/README.md b/README.md index 846e447cfa..1014c4f12f 100644 --- a/README.md +++ b/README.md @@ -82,7 +82,8 @@ variants. ## GFPGAN and Real-ESRGAN Support -The script also provides the ability to do face restoration and upscaling with the help of GFPGAN and Real-ESRGAN respectively. +The script also provides the ability to do face restoration and +upscaling with the help of GFPGAN and Real-ESRGAN respectively. To use the ability, clone the **[GFPGAN repository](https://github.com/TencentARC/GFPGAN)** and follow their @@ -90,7 +91,9 @@ installation instructions. By default, we expect GFPGAN to be installed in a 'GFPGAN' sibling directory. Be sure that the `"ldm"` conda environment is active as you install GFPGAN. -You can use the `--gfpgan_dir` argument with `dream.py` to set a custom path to your GFPGAN directory. _There are other GFPGAN related boot arguments if you wish to customize further._ +You can use the `--gfpgan_dir` argument with `dream.py` to set a +custom path to your GFPGAN directory. _There are other GFPGAN related +boot arguments if you wish to customize further._ You can install **Real-ESRGAN** by typing the following command. @@ -100,8 +103,12 @@ pip install realesrgan **Preloading Models** -Users whose GPU machines are isolated from the Internet (e.g. on a University cluster) should be aware that the first time you run -dream.py with GFPGAN and Real-ESRGAN turned on, it will try to download model files from the Internet. To rectify this, you may run `python3 scripts/preload_models.py` after you have installed GFPGAN and all its dependencies. +Users whose GPU machines are isolated from the Internet (e.g. on a +University cluster) should be aware that the first time you run +dream.py with GFPGAN and Real-ESRGAN turned on, it will try to +download model files from the Internet. To rectify this, you may run +`python3 scripts/preload_models.py` after you have installed GFPGAN +and all its dependencies. **Usage** @@ -111,21 +118,38 @@ You will now have access to two new prompt arguments. `-U : ` -The upscaling prompt argument takes two values. The first value is a scaling factor and should be set to either `2` or `4` only. This will either scale the image 2x or 4x respectively using different models. +The upscaling prompt argument takes two values. The first value is a +scaling factor and should be set to either `2` or `4` only. This will +either scale the image 2x or 4x respectively using different models. -You can set the scaling stength between `0` and `1.0` to control intensity of the of the scaling. This is handy because AI upscalers generally tend to smooth out texture details. If you wish to retain some of those for natural looking results, we recommend using values between `0.5 to 0.8`. +You can set the scaling stength between `0` and `1.0` to control +intensity of the of the scaling. This is handy because AI upscalers +generally tend to smooth out texture details. If you wish to retain +some of those for natural looking results, we recommend using values +between `0.5 to 0.8`. + +If you do not explicitly specify an upscaling_strength, it will +default to 0.75. **Face Restoration** `-G : ` -This prompt argument controls the strength of the face restoration that is being applied. Similar to upscaling, values between `0.5 to 0.8` are recommended. +This prompt argument controls the strength of the face restoration +that is being applied. Similar to upscaling, values between `0.5 to +0.8` are recommended. -You can use either one or both without any conflicts. In cases where you use both, the image will be first upscaled and then the face restoration process will be executed to ensure you get the highest quality facial features. +You can use either one or both without any conflicts. In cases where +you use both, the image will be first upscaled and then the face +restoration process will be executed to ensure you get the highest +quality facial features. -`-save_orig` +`--save_orig` -When you use either `-U` or `-G`, the final result you get is upscaled or face modified. If you want to save the original Stable Diffusion generation, you can use the `-save_orig` prompt argument to save the original unaffected version too. +When you use either `-U` or `-G`, the final result you get is upscaled +or face modified. If you want to save the original Stable Diffusion +generation, you can use the `-save_orig` prompt argument to save the +original unaffected version too. **Example Usage** @@ -133,15 +157,6 @@ When you use either `-U` or `-G`, the final result you get is upscaled or face m dream > superman dancing with a panda bear -U 2 0.6 -G 0.4 ``` -``` -(ldm) ~/stable-diffusion$ python3 ./scripts/dream.py --gfpgan -* Initializing, be patient... -(...more initialization messages...) -* --gfpgan was specified, loading gfpgan... -(...even more initialization messages...) -* Initialization done! Awaiting your command... -``` - This also works with img2img: ``` @@ -150,11 +165,21 @@ dream> a man wearing a pineapple hat -I path/to/your/file.png -U 2 0.5 -G 0.6 **Note** -GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid crashes and memory overloads during the Stable Diffusion process, these effects are applied after Stable Diffusion has completed its work. +GFPGAN and Real-ESRGAN are both memory intensive. In order to avoid +crashes and memory overloads during the Stable Diffusion process, +these effects are applied after Stable Diffusion has completed its +work. -In single image generations, you will see the output right away but when you are using multiple iterations, the images will first be generated and then upscaled and face restored after that process is complete. While the image generation is taking place, you will still be able to preview the base images. +In single image generations, you will see the output right away but +when you are using multiple iterations, the images will first be +generated and then upscaled and face restored after that process is +complete. While the image generation is taking place, you will still +be able to preview the base images. -If you wish to stop during the image generation but want to upscale or face restore a particular generated image, pass it again with the same prompt and generated seed along with the `-U` and `-G` prompt arguments to perform those actions. +If you wish to stop during the image generation but want to upscale or +face restore a particular generated image, pass it again with the same +prompt and generated seed along with the `-U` and `-G` prompt +arguments to perform those actions. ## Barebones Web Server @@ -315,6 +340,10 @@ repository and associated paper for details and limitations. (kudos to [Yunsaki](https://github.com/yunsaki) - The web server is now integrated with the dream.py script. Invoke by adding --web to the dream.py command arguments. + - Face restoration and upscaling via GFPGAN and Real-ESGAN are now automatically + enabled if the GFPGAN directory is located as a sibling to Stable Diffusion. + VRAM requirements are modestly reduced. Thanks to both [Blessedcoolant](https://github.com/blessedcoolant) and + [Oceanswave](https://github.com/oceanswave) for their work on this. - v1.11 (26 August 2022) - NEW FEATURE: Support upscaling and face enhancement using the GFPGAN module. (kudos to [Oceanswave](https://github.com/Oceanswave) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index ef268a6282..339336d841 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -320,7 +320,8 @@ class T2I: from ldm.gfpgan.gfpgan_tools import ( real_esrgan_upscale, ) - + if len(upscale) < 2: + upscale.append(0.75) image = real_esrgan_upscale( image, upscale[1], diff --git a/scripts/dream.py b/scripts/dream.py index 90698b3bbd..1eff65253a 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -324,25 +324,25 @@ def create_argv_parser(): '--gfpgan_bg_upsampler', type=str, default='realesrgan', - help='Background upsampler. Default: None. Options: realesrgan, none. Only used if --gfpgan is specified', + help='Background upsampler. Default: None. Options: realesrgan, none.', ) parser.add_argument( '--gfpgan_bg_tile', type=int, default=400, - help='Tile size for background sampler, 0 for no tile during testing. Default: 400. Only used if --gfpgan is specified', + help='Tile size for background sampler, 0 for no tile during testing. Default: 400.', ) parser.add_argument( '--gfpgan_model_path', type=str, default='experiments/pretrained_models/GFPGANv1.3.pth', - help='indicates the path to the GFPGAN model, relative to --gfpgan_dir. Only used if --gfpgan is specified', + help='indicates the path to the GFPGAN model, relative to --gfpgan_dir.', ) parser.add_argument( '--gfpgan_dir', type=str, default='../GFPGAN', - help='indicates the directory containing the GFPGAN code. Only used if --gfpgan is specified', + help='indicates the directory containing the GFPGAN code.', ) parser.add_argument( '--web', @@ -431,10 +431,10 @@ def create_cmd_parser(): parser.add_argument( '-U', '--upscale', - nargs=2, + nargs='+', default=None, type=float, - help='Scale factor for Real-ESRGAN. Either use 2 or 4.', + 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', From ac02a775e41fc0027180c962b5af8ffa3496f5e0 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 17:27:43 -0400 Subject: [PATCH 19/42] moved server.py into right location --- ldm/dream/server.py | 606 ++++++-------------------------------------- 1 file changed, 75 insertions(+), 531 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index 7cfa20dcd8..fb0ce1de78 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -1,548 +1,92 @@ -#!/usr/bin/env python3 -# Copyright (c) 2022 Lincoln D. Stein (https://github.com/lstein) - -import argparse -import shlex +import json +import base64 +import mimetypes import os -import sys -import copy -import warnings -import ldm.dream.readline -from ldm.dream.pngwriter import PngWriter, PromptFormatter -from dream_server import DreamServer, ThreadingDreamServer +from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer -def main(): - """Initialize command-line parsers and the diffusion model""" - arg_parser = create_argv_parser() - opt = arg_parser.parse_args() - if opt.laion400m: - # defaults suitable to the older latent diffusion weights - width = 256 - height = 256 - config = 'configs/latent-diffusion/txt2img-1p4B-eval.yaml' - weights = 'models/ldm/text2img-large/model.ckpt' - else: - # some defaults suitable for stable diffusion weights - width = 512 - height = 512 - config = 'configs/stable-diffusion/v1-inference.yaml' - weights = 'models/ldm/stable-diffusion-v1/model.ckpt' +class DreamServer(BaseHTTPRequestHandler): + model = None - print('* Initializing, be patient...\n') - sys.path.append('.') - from pytorch_lightning import logging - from ldm.simplet2i import T2I - - # these two lines prevent a horrible warning message from appearing - # when the frozen CLIP tokenizer is imported - import transformers - - transformers.logging.set_verbosity_error() - - # creating a simple text2image object with a handful of - # defaults passed on the command line. - # additional parameters will be added (or overriden) during - # the user input loop - t2i = T2I( - width=width, - height=height, - sampler_name=opt.sampler_name, - weights=weights, - full_precision=opt.full_precision, - config=config, - latent_diffusion_weights=opt.laion400m, # this is solely for recreating the prompt - embedding_path=opt.embedding_path, - device=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) - - # load the infile as a list of lines - infile = None - if opt.infile: - try: - if os.path.isfile(opt.infile): - infile = open(opt.infile,'r') - elif opt.infile=='-': # stdin - infile = sys.stdin + def do_GET(self): + if self.path == "/": + self.send_response(200) + self.send_header("Content-type", "text/html") + self.end_headers() + with open("./static/dream_web/index.html", "rb") as content: + self.wfile.write(content.read()) + elif os.path.exists("." + self.path): + mime_type = mimetypes.guess_type(self.path)[0] + if mime_type is not None: + self.send_response(200) + self.send_header("Content-type", mime_type) + self.end_headers() + with open("." + self.path, "rb") as content: + self.wfile.write(content.read()) else: - raise FileNotFoundError(f'{opt.infile} not found.') - except (FileNotFoundError,IOError) as e: - print(f'{e}. Aborting.') - sys.exit(-1) - - # preload the model - t2i.load_model() - - # load GFPGAN if requested - if opt.use_gfpgan: - print('\n* --gfpgan was specified, loading gfpgan...') - with warnings.catch_warnings(): - warnings.filterwarnings('ignore', category=DeprecationWarning) - - try: - model_path = os.path.join( - opt.gfpgan_dir, opt.gfpgan_model_path - ) - if not os.path.isfile(model_path): - raise Exception( - 'GFPGAN model not found at path ' + model_path - ) - - sys.path.append(os.path.abspath(opt.gfpgan_dir)) - from gfpgan import GFPGANer - - bg_upsampler = load_gfpgan_bg_upsampler( - opt.gfpgan_bg_upsampler, opt.gfpgan_bg_tile - ) - - t2i.gfpgan = GFPGANer( - model_path=model_path, - upscale=opt.gfpgan_upscale, - arch='clean', - channel_multiplier=2, - bg_upsampler=bg_upsampler, - ) - except Exception: - import traceback - - print('Error loading GFPGAN:', file=sys.stderr) - print(traceback.format_exc(), file=sys.stderr) - - log_path = os.path.join(opt.outdir, 'dream_log.txt') - with open(log_path, 'a') as log: - cmd_parser = create_cmd_parser() - if opt.web: - dream_server_loop(t2i) + self.send_response(404) else: - main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) - log.close() + self.send_response(404) -def main_loop(t2i, outdir, parser, log_path, infile): - print( - "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." - ) - """prompt/read/execute loop""" - done = False - last_seeds = [] + def do_POST(self): + self.send_response(200) + self.send_header("Content-type", "application/json") + self.end_headers() - while not done: - try: - command = get_next_command(infile) - except EOFError: - done = True - break + content_length = int(self.headers['Content-Length']) + post_data = json.loads(self.rfile.read(content_length)) + prompt = post_data['prompt'] + initimg = post_data['initimg'] + iterations = int(post_data['iterations']) + steps = int(post_data['steps']) + width = int(post_data['width']) + height = int(post_data['height']) + cfgscale = float(post_data['cfgscale']) + gfpgan_strength = float(post_data['gfpgan_strength']) + seed = None if int(post_data['seed']) == -1 else int(post_data['seed']) - # skip empty lines - if not command.strip(): - continue + print(f"Request to generate with prompt: {prompt}") - if command.startswith(('#', '//')): - continue - - # before splitting, escape single quotes so as not to mess - # up the parser - command = command.replace("'", "\\'") - - try: - elements = shlex.split(command) - except ValueError as e: - print(str(e)) - continue - - if elements[0] == 'q': - done = True - break - - if elements[0].startswith( - '!dream' - ): # in case a stored prompt still contains the !dream command - elements.pop(0) - - # rearrange the arguments to mimic how it works in the Dream bot. - switches = [''] - switches_started = False - - for el in elements: - if el[0] == '-' and not switches_started: - switches_started = True - if switches_started: - switches.append(el) - else: - switches[0] += el - switches[0] += ' ' - switches[0] = switches[0][: len(switches[0]) - 1] - - try: - opt = parser.parse_args(switches) - except SystemExit: - parser.print_help() - continue - if len(opt.prompt) == 0: - print('Try again with a prompt!') - continue - if opt.seed is not None and opt.seed < 0: # retrieve previous value! - try: - opt.seed = last_seeds[opt.seed] - print(f'reusing previous seed {opt.seed}') - except IndexError: - print(f'No previous seed at position {opt.seed} found') - opt.seed = None - - normalized_prompt = PromptFormatter(t2i, opt).normalize_prompt() - individual_images = not opt.grid - if opt.outdir: - if not os.path.exists(opt.outdir): - os.makedirs(opt.outdir) - current_outdir = opt.outdir + outputs = [] + if initimg is None: + # Run txt2img + outputs = self.model.txt2img(prompt, + iterations=iterations, + cfg_scale = cfgscale, + width = width, + height = height, + seed = seed, + steps = steps, + gfpgan_strength = gfpgan_strength) else: - current_outdir = outdir + # Decode initimg as base64 to temp file + with open("./img2img-tmp.png", "wb") as f: + initimg = initimg.split(",")[1] # Ignore mime type + f.write(base64.b64decode(initimg)) - # Here is where the images are actually generated! - try: - file_writer = PngWriter(current_outdir, normalized_prompt, opt.batch_size) - callback = file_writer.write_image if individual_images else None - image_list = t2i.prompt2image(image_callback=callback, **vars(opt)) - results = ( - file_writer.files_written if individual_images else image_list - ) + # Run img2img + outputs = self.model.img2img(prompt, + init_img = "./img2img-tmp.png", + iterations = iterations, + cfg_scale = cfgscale, + seed = seed, + steps = steps) + # Remove the temp file + os.remove("./img2img-tmp.png") - if opt.grid and len(results) > 0: - grid_img = file_writer.make_grid([r[0] for r in results]) - filename = file_writer.unique_filename(results[0][1]) - seeds = [a[1] for a in results] - results = [[filename, seeds]] - metadata_prompt = f'{normalized_prompt} -S{results[0][1]}' - file_writer.save_image_and_prompt_to_png( - grid_img, metadata_prompt, filename - ) + print(f"Prompt generated with output: {outputs}") - last_seeds = [r[1] for r in results] + post_data['initimg'] = '' # Don't send init image back - except AssertionError as e: - print(e) - continue + # Append post_data to log + with open("./outputs/img-samples/dream_web_log.txt", "a") as log: + for output in outputs: + log.write(f"{output[0]}: {json.dumps(post_data)}\n") - except OSError as e: - print(e) - continue - - print('Outputs:') - write_log_message(t2i, normalized_prompt, results, log_path) - - print('goodbye!') - -def get_next_command(infile=None) -> 'command string': - if infile is None: - command = input("dream> ") - else: - command = infile.readline() - if not command: - raise EOFError - else: - command = command.strip() - print(f'#{command}') - return command - -def dream_server_loop(t2i): - print('\n* --web was specified, starting web server...') - # Change working directory to the stable-diffusion directory - os.chdir( - os.path.abspath(os.path.join(os.path.dirname(__file__), '..')) - ) - - # Start server - DreamServer.model = t2i - dream_server = ThreadingDreamServer(("0.0.0.0", 9090)) - print("\nStarted Stable Diffusion dream server!") - print("Point your browser at http://localhost:9090 or use the host's DNS name or IP address.") - - try: - dream_server.serve_forever() - except KeyboardInterrupt: - pass - - dream_server.server_close() - -def load_gfpgan_bg_upsampler(bg_upsampler, bg_tile=400): - import torch - - if bg_upsampler == 'realesrgan': - if not torch.cuda.is_available(): # CPU - import warnings - - warnings.warn( - 'The unoptimized RealESRGAN is slow on CPU. We do not use it. ' - 'If you really want to use it, please modify the corresponding codes.' - ) - bg_upsampler = None - else: - from basicsr.archs.rrdbnet_arch import RRDBNet - from realesrgan import RealESRGANer - - model = RRDBNet( - num_in_ch=3, - num_out_ch=3, - num_feat=64, - num_block=23, - num_grow_ch=32, - scale=2, - ) - bg_upsampler = RealESRGANer( - scale=2, - model_path='https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.1/RealESRGAN_x2plus.pth', - model=model, - tile=bg_tile, - tile_pad=10, - pre_pad=0, - half=True, - ) # need to set False in CPU mode - else: - bg_upsampler = None - - return bg_upsampler + outputs = [x + [post_data] for x in outputs] # Append config to each output + result = {'outputs': outputs} + self.wfile.write(bytes(json.dumps(result), "utf-8")) -# variant generation is going to be superseded by a generalized -# "prompt-morph" functionality -# def generate_variants(t2i,outdir,opt,previous_gens): -# variants = [] -# print(f"Generating {opt.variants} variant(s)...") -# newopt = copy.deepcopy(opt) -# newopt.iterations = 1 -# newopt.variants = None -# for r in previous_gens: -# newopt.init_img = r[0] -# prompt = PromptFormatter(t2i,newopt).normalize_prompt() -# print(f"] generating variant for {newopt.init_img}") -# for j in range(0,opt.variants): -# try: -# file_writer = PngWriter(outdir,prompt,newopt.batch_size) -# callback = file_writer.write_image -# t2i.prompt2image(image_callback=callback,**vars(newopt)) -# results = file_writer.files_written -# variants.append([prompt,results]) -# except AssertionError as e: -# print(e) -# continue -# print(f'{opt.variants} variants generated') -# return variants - - -### the t2i variable doesn't seem to be necessary here. maybe remove it? -def write_log_message(t2i, prompt, results, log_path): - """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" - log_lines = [f"{r[0]}: {prompt} -S{r[1]}\n" for r in results] - print(*log_lines, sep="") - - with open(log_path, "a") as file: - file.writelines(log_lines) - - -def create_argv_parser(): - parser = argparse.ArgumentParser( - description="Parse script's command line args" - ) - parser.add_argument( - '--laion400m', - '--latent_diffusion', - '-l', - dest='laion400m', - action='store_true', - help='fallback to the latent diffusion (laion400m) weights and config', - ) - parser.add_argument( - '--from_file', - dest='infile', - type=str, - help='if specified, load prompts from this file', - ) - parser.add_argument( - '-n', - '--iterations', - type=int, - default=1, - help='number of images to generate', - ) - parser.add_argument( - '-F', - '--full_precision', - dest='full_precision', - action='store_true', - help='use slower full precision math for calculations', - ) - parser.add_argument( - '--sampler', - '-m', - dest='sampler_name', - choices=[ - 'ddim', - 'k_dpm_2_a', - 'k_dpm_2', - 'k_euler_a', - 'k_euler', - 'k_heun', - 'k_lms', - 'plms', - ], - default='k_lms', - help='which sampler to use (k_lms) - can only be set on command line', - ) - parser.add_argument( - '--outdir', - '-o', - type=str, - default='outputs/img-samples', - help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', - ) - parser.add_argument( - '--embedding_path', - type=str, - help='Path to a pre-trained embedding manager checkpoint - can only be set on command line', - ) - parser.add_argument( - '--device', - '-d', - type=str, - default='cuda', - help='device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if avalible', - ) - # GFPGAN related args - parser.add_argument( - '--gfpgan', - dest='use_gfpgan', - action='store_true', - help='load gfpgan for use in the dreambot. Note: Enabling GFPGAN will require more GPU memory', - ) - parser.add_argument( - '--gfpgan_upscale', - type=int, - default=2, - help='The final upsampling scale of the image. Default: 2. Only used if --gfpgan is specified', - ) - parser.add_argument( - '--gfpgan_bg_upsampler', - type=str, - default='realesrgan', - help='Background upsampler. Default: None. Options: realesrgan, none. Only used if --gfpgan is specified', - ) - parser.add_argument( - '--gfpgan_bg_tile', - type=int, - default=400, - help='Tile size for background sampler, 0 for no tile during testing. Default: 400. Only used if --gfpgan is specified', - ) - parser.add_argument( - '--gfpgan_model_path', - type=str, - default='experiments/pretrained_models/GFPGANv1.3.pth', - help='indicates the path to the GFPGAN model, relative to --gfpgan_dir. Only used if --gfpgan is specified', - ) - parser.add_argument( - '--gfpgan_dir', - type=str, - default='../GFPGAN', - help='indicates the directory containing the GFPGAN code. Only used if --gfpgan is specified', - ) - parser.add_argument( - '--web', - dest='web', - action='store_true', - help='start in web server mode.', - ) - return parser - - -def create_cmd_parser(): - parser = argparse.ArgumentParser( - description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12' - ) - parser.add_argument('prompt') - 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( - '-b', - '--batch_size', - type=int, - default=1, - help='number of images to produce per sampling (will not 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='prompt configuration scale', - ) - parser.add_argument( - '-g', '--grid', action='store_true', help='generate a grid' - ) - parser.add_argument( - '--outdir', - '-o', - type=str, - default=None, - help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', - ) - 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( - '-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=None, - type=float, - help='The strength at which to apply the GFPGAN model to the result, in order to improve faces.', - ) - # 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', - ) - return parser - - -if __name__ == '__main__': - main() +class ThreadingDreamServer(ThreadingHTTPServer): + def __init__(self, server_address): + super(ThreadingDreamServer, self).__init__(server_address, DreamServer) From 9e7865704ae6054a289b5e3f2f66b96e5dfcc6b4 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Sun, 28 Aug 2022 14:33:30 -0700 Subject: [PATCH 20/42] prevent directory traversal in the web UI --- ldm/dream/server.py | 12 ++++++++---- static/dream_web/index.html | 2 +- 2 files changed, 9 insertions(+), 5 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index fb0ce1de78..3925b4e654 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -14,8 +14,14 @@ class DreamServer(BaseHTTPRequestHandler): self.end_headers() with open("./static/dream_web/index.html", "rb") as content: self.wfile.write(content.read()) - elif os.path.exists("." + self.path): - mime_type = mimetypes.guess_type(self.path)[0] + else: + path = "." + self.path + cwd = os.getcwd() + is_in_cwd = os.path.commonprefix((os.path.realpath(path), cwd)) == cwd + if not (is_in_cwd and os.path.exists(path)): + self.send_response(404) + return + mime_type = mimetypes.guess_type(path)[0] if mime_type is not None: self.send_response(200) self.send_header("Content-type", mime_type) @@ -24,8 +30,6 @@ class DreamServer(BaseHTTPRequestHandler): self.wfile.write(content.read()) else: self.send_response(404) - else: - self.send_response(404) def do_POST(self): self.send_response(200) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index ebc5dd80ee..682711a8ff 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -53,7 +53,7 @@
- + From 8bbe7936bd6efcf6602265ced083fb45b6251db0 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 18:21:20 -0400 Subject: [PATCH 21/42] close Issue #165 --- ldm/dream/server.py | 15 ++++++++------- ldm/simplet2i.py | 3 ++- scripts/dream.py | 3 --- 3 files changed, 10 insertions(+), 11 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index fb0ce1de78..a751307408 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -63,13 +63,14 @@ class DreamServer(BaseHTTPRequestHandler): initimg = initimg.split(",")[1] # Ignore mime type f.write(base64.b64decode(initimg)) - # Run img2img - outputs = self.model.img2img(prompt, - init_img = "./img2img-tmp.png", - iterations = iterations, - cfg_scale = cfgscale, - seed = seed, - steps = steps) + # Run img2img + outputs = self.model.img2img(prompt, + init_img = "./img2img-tmp.png", + iterations = iterations, + cfg_scale = cfgscale, + seed = seed, + gfpgan_strength=gfpgan_strength, + steps = steps) # Remove the temp file os.remove("./img2img-tmp.png") diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 339336d841..74613e6527 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -208,7 +208,7 @@ class T2I: # these are specific to img2img init_img=None, strength=None, - gfpgan_strength=None, + gfpgan_strength=0, save_original=False, upscale=None, variants=None, @@ -592,6 +592,7 @@ class T2I: return model def _load_img(self, path): + print(f'image path = {path}, cwd = {os.getcwd()}') with Image.open(path) as img: image = img.convert('RGB') diff --git a/scripts/dream.py b/scripts/dream.py index 1eff65253a..ceeebc1cc8 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -95,9 +95,6 @@ def main(): log.close() def main_loop(t2i, outdir, parser, log_path, infile): - print( - "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit, 'cd' to change output dir, 'pwd' to print output dir)..." - ) """prompt/read/execute loop""" done = False last_seeds = [] From 8a517fdc1702f2f460278ae2a78b342bd8ec0866 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Mon, 29 Aug 2022 11:26:19 +1200 Subject: [PATCH 22/42] Fix sampler changer not working. --- ldm/simplet2i.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index b9f1d95ede..f1aec32c29 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -212,7 +212,7 @@ class T2I: save_original=False, upscale=None, variants=None, - user_sampler=None, + sampler_name=None, **args, ): # eat up additional cruft """ @@ -272,8 +272,8 @@ class T2I: scope = autocast if self.precision == 'autocast' else nullcontext - if user_sampler and (user_sampler != self.sampler_name): - self.sampler_name = user_sampler + if sampler_name and (sampler_name != self.sampler_name): + self.sampler_name = sampler_name self._set_sampler() tic = time.time() From 87b7446228fe9fce27f6c5f22cb8016bba22747f Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Mon, 29 Aug 2022 11:28:16 +1200 Subject: [PATCH 23/42] Fix unique filename bug --- ldm/dream/pngwriter.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 97b1690af8..4108d33340 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -60,7 +60,7 @@ class PngWriter: basename = os.path.basename(previouspath) x = re.match('^(\d+)\..*\.png', basename) if not x: - return self.unique_filename(seed, previouspath) + return self.unique_filename(seed, upscaled, previouspath) basecount = int(x.groups()[0]) series = 0 From f0e2fa781f3437023f9caa35322be855b49ce580 Mon Sep 17 00:00:00 2001 From: blessedcoolant <54517381+blessedcoolant@users.noreply.github.com> Date: Mon, 29 Aug 2022 10:11:11 +1200 Subject: [PATCH 24/42] Grid image not saving after recent changes has been fixed. --- ldm/dream/pngwriter.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index dbd634e5f5..cba612528a 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -37,7 +37,7 @@ class PngWriter: if not upscaled: self.files_written.append([self.filepath, seed]) - def unique_filename(self, seed, upscaled, previouspath=None): + def unique_filename(self, seed, upscaled=False, previouspath=None): revision = 1 if previouspath is None: @@ -60,7 +60,7 @@ class PngWriter: basename = os.path.basename(previouspath) x = re.match('^(\d+)\..*\.png', basename) if not x: - return self.unique_filename(seed, previouspath) + return self.unique_filename(seed, upscaled, previouspath) basecount = int(x.groups()[0]) series = 0 From 529040708b3a3aad23cbaac4eff223622e049080 Mon Sep 17 00:00:00 2001 From: Benjamin Warner Date: Sun, 28 Aug 2022 19:34:55 -0500 Subject: [PATCH 25/42] Fix grid image saving, log to outdir path, display sampler options once --- ldm/dream/pngwriter.py | 4 +- scripts/dream.py | 108 +++++++++++++++++++---------------------- 2 files changed, 53 insertions(+), 59 deletions(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 97b1690af8..feae9f387d 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -37,7 +37,7 @@ class PngWriter: if not upscaled: self.files_written.append([self.filepath, seed]) - def unique_filename(self, seed, upscaled, previouspath=None): + def unique_filename(self, seed, upscaled=False, previouspath=None): revision = 1 if previouspath is None: @@ -60,7 +60,7 @@ class PngWriter: basename = os.path.basename(previouspath) x = re.match('^(\d+)\..*\.png', basename) if not x: - return self.unique_filename(seed, previouspath) + return self.unique_filename(seed, upscaled, previouspath) basecount = int(x.groups()[0]) series = 0 diff --git a/scripts/dream.py b/scripts/dream.py index 4c5685910a..e48b2e64a8 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -86,16 +86,14 @@ def main(): "\n* Initialization done! Awaiting your command (-h for help, 'q' to quit)" ) - log_path = os.path.join(opt.outdir, 'dream_log.txt') - with open(log_path, 'a') as log: - cmd_parser = create_cmd_parser() - if opt.web: - dream_server_loop(t2i) - else: - main_loop(t2i, opt.outdir, cmd_parser, log_path, infile) - log.close() + cmd_parser = create_cmd_parser() + if opt.web: + dream_server_loop(t2i) + else: + main_loop(t2i, opt.outdir, cmd_parser, infile) -def main_loop(t2i, outdir, parser, log_path, infile): + +def main_loop(t2i, outdir, parser, infile): """prompt/read/execute loop""" done = False last_seeds = [] @@ -202,12 +200,13 @@ def main_loop(t2i, outdir, parser, log_path, infile): continue print('Outputs:') - write_log_message(t2i, normalized_prompt, results, log_path) + log_path = os.path.join(current_outdir, 'dream_log.txt') + write_log_message(normalized_prompt, results, log_path) print('goodbye!') -def get_next_command(infile=None) -> 'command string': +def get_next_command(infile=None) -> str: #command string if infile is None: command = input('dream> ') else: @@ -239,9 +238,9 @@ def dream_server_loop(t2i): dream_server.server_close() -### the t2i variable doesn't seem to be necessary here. maybe remove it? -def write_log_message(t2i, prompt, results, log_path): - """logs the name of the output image, its prompt and seed to the terminal, log file, and a Dream text chunk in the PNG metadata""" + +def write_log_message(prompt, results, log_path): + """logs the name of the output image, prompt, and prompt args to the terminal and log file""" log_lines = [f'{r[0]}: {prompt} -S{r[1]}\n' for r in results] print(*log_lines, sep='') @@ -249,6 +248,17 @@ def write_log_message(t2i, prompt, results, log_path): file.writelines(log_lines) +SAMPLER_CHOICES=[ + 'ddim', + 'k_dpm_2_a', + 'k_dpm_2', + 'k_euler_a', + 'k_euler', + 'k_heun', + 'k_lms', + 'plms', +] + def create_argv_parser(): parser = argparse.ArgumentParser( description="Parse script's command line args" @@ -259,52 +269,44 @@ def create_argv_parser(): '-l', dest='laion400m', action='store_true', - help='fallback to the latent diffusion (laion400m) weights and config', + help='Fallback to the latent diffusion (laion400m) weights and config', ) parser.add_argument( '--from_file', dest='infile', type=str, - help='if specified, load prompts from this file', + help='If specified, load prompts from this file', ) parser.add_argument( '-n', '--iterations', type=int, default=1, - help='number of images to generate', + help='Number of images to generate', ) parser.add_argument( '-F', '--full_precision', dest='full_precision', action='store_true', - help='use slower full precision math for calculations', + help='Use slower full precision math for calculations', ) parser.add_argument( '-A', '-m', '--sampler', dest='sampler_name', - choices=[ - 'ddim', - 'k_dpm_2_a', - 'k_dpm_2', - 'k_euler_a', - 'k_euler', - 'k_heun', - 'k_lms', - 'plms', - ], + choices=SAMPLER_CHOICES, + metavar='SAMPLER_NAME', default='k_lms', - help='which sampler to use (k_lms)', + help=f'Set the initial sampler. Default: k_lms. Supported samplers: {", ".join(SAMPLER_CHOICES)}', ) parser.add_argument( '--outdir', '-o', type=str, default='outputs/img-samples', - help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', + help='Directory to save generated images and a log of prompts and seeds. Default: outputs/img-samples', ) parser.add_argument( '--embedding_path', @@ -316,7 +318,7 @@ def create_argv_parser(): '-d', type=str, default='cuda', - help='device to run stable diffusion on. defaults to cuda `torch.cuda.current_device()` if avalible', + help='Device to run Stable Diffusion on. Defaults to cuda `torch.cuda.current_device()` if avalible', ) # GFPGAN related args parser.add_argument( @@ -335,19 +337,19 @@ def create_argv_parser(): '--gfpgan_model_path', type=str, default='experiments/pretrained_models/GFPGANv1.3.pth', - help='indicates the path to the GFPGAN model, relative to --gfpgan_dir.', + help='Indicates the path to the GFPGAN model, relative to --gfpgan_dir.', ) parser.add_argument( '--gfpgan_dir', type=str, default='../GFPGAN', - help='indicates the directory containing the GFPGAN code.', + help='Indicates the directory containing the GFPGAN code.', ) parser.add_argument( '--web', dest='web', action='store_true', - help='start in web server mode.', + help='Start in web server mode.', ) return parser @@ -357,39 +359,39 @@ def create_cmd_parser(): description='Example: dream> a fantastic alien landscape -W1024 -H960 -s100 -n12' ) parser.add_argument('prompt') - parser.add_argument('-s', '--steps', type=int, help='number of steps') + 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', + 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)', + help='Number of samplings to perform (slower, but will provide seeds for individual images)', ) parser.add_argument( '-b', '--batch_size', type=int, default=1, - help='number of images to produce per sampling (will not provide seeds for individual images!)', + help='Number of images to produce per sampling (will not provide seeds for individual images!)', ) parser.add_argument( - '-W', '--width', type=int, help='image width, multiple of 64' + '-W', '--width', type=int, help='Image width, multiple of 64' ) parser.add_argument( - '-H', '--height', type=int, help='image height, multiple of 64' + '-H', '--height', type=int, help='Image height, multiple of 64' ) parser.add_argument( '-C', '--cfg_scale', default=7.5, type=float, - help='prompt configuration scale', + help='Prompt configuration scale', ) parser.add_argument( '-g', '--grid', action='store_true', help='generate a grid' @@ -399,26 +401,26 @@ def create_cmd_parser(): '-o', type=str, default=None, - help='directory in which to place generated images and a log of prompts and seeds (outputs/img-samples', + help='Directory to save generated images and a log of prompts and seeds', ) parser.add_argument( '-i', '--individual', action='store_true', - help='generate individual files (default)', + 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)', + help='Path to input image for img2img mode (supersedes width and height)', ) 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', + help='Strength for noising/unnoising. 0.0 preserves image exactly, 1.0 replaces it completely', ) parser.add_argument( '-G', @@ -447,7 +449,7 @@ def create_cmd_parser(): '-x', '--skip_normalize', action='store_true', - help='skip subprompt weight normalization', + help='Skip subprompt weight normalization', ) parser.add_argument( '-A', @@ -456,17 +458,9 @@ def create_cmd_parser(): dest='sampler_name', default=None, type=str, - choices=[ - 'ddim', - 'k_dpm_2_a', - 'k_dpm_2', - 'k_euler_a', - 'k_euler', - 'k_heun', - 'k_lms', - 'plms', - ], - help='Change to another supported sampler using this command', + choices=SAMPLER_CHOICES, + metavar='SAMPLER_NAME', + help=f'Switch to a different sampler. Supported samplers: {", ".join(SAMPLER_CHOICES)}', ) return parser From 594c0eeb8c062f6578b285ab12654d19ef704ab9 Mon Sep 17 00:00:00 2001 From: Benjamin Warner Date: Sun, 28 Aug 2022 19:53:25 -0500 Subject: [PATCH 26/42] check in rest of sampler fix --- ldm/simplet2i.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index b9f1d95ede..f1aec32c29 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -212,7 +212,7 @@ class T2I: save_original=False, upscale=None, variants=None, - user_sampler=None, + sampler_name=None, **args, ): # eat up additional cruft """ @@ -272,8 +272,8 @@ class T2I: scope = autocast if self.precision == 'autocast' else nullcontext - if user_sampler and (user_sampler != self.sampler_name): - self.sampler_name = user_sampler + if sampler_name and (sampler_name != self.sampler_name): + self.sampler_name = sampler_name self._set_sampler() tic = time.time() From 22365a3f12a224e59cbd9dd555c0eabc13456616 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 21:04:32 -0400 Subject: [PATCH 27/42] begin adding fields for GFPGAN and ESRGAN adjustment; only making public because need to switch computers --- static/dream_web/index.html | 13 +++++++++++-- 1 file changed, 11 insertions(+), 2 deletions(-) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 21591ab9b4..388e579330 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -53,8 +53,17 @@
- - +

The options below require the GFPGAN and ESRGAN packages to be installed

+ + + + + +
For news and support for this web service, visit our GitHub site
From e2ae6d288dfa6c72ce2e1b01e730b87f39fb5158 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 21:35:52 -0400 Subject: [PATCH 28/42] added reset to defaults button and sampler selection --- static/dream_web/index.css | 2 +- static/dream_web/index.html | 20 ++++++++++++++++---- static/dream_web/index.js | 9 +++++++++ 3 files changed, 26 insertions(+), 5 deletions(-) diff --git a/static/dream_web/index.css b/static/dream_web/index.css index ed840a056a..482de93e16 100644 --- a/static/dream_web/index.css +++ b/static/dream_web/index.css @@ -48,7 +48,7 @@ img { line-height:2em; } input[type="number"] { - width: 60px; + width: 30px; } #seed { width: 150px; diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 388e579330..79b4c9fc67 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -18,12 +18,22 @@
- + - • + + +
+ • +

The options below require the GFPGAN and ESRGAN packages to be installed

- + - +
For news and support for this web service, visit our GitHub site
diff --git a/static/dream_web/index.js b/static/dream_web/index.js index 3b99deecf4..df5ff82a9d 100644 --- a/static/dream_web/index.js +++ b/static/dream_web/index.js @@ -43,6 +43,7 @@ function saveFields(form) { } } } + function loadFields(form) { for (const [k, v] of new FormData(form)) { const item = localStorage.getItem(k); @@ -52,6 +53,11 @@ function loadFields(form) { } } +function clearFields(form) { + localStorage.clear() + form.reset() +} + async function generateSubmit(form) { const prompt = document.querySelector("#prompt").value; @@ -97,5 +103,8 @@ window.onload = () => { document.querySelector("#seed").value = -1; saveFields(e.target.form); }); + document.querySelector("#reset-all").addEventListener('click', (e) => { + clearFields(e.target.form); + }); loadFields(document.querySelector("#generate-form")); }; From 18899be4ae769a9a49bb4f0a30127f3f3762eb0e Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 22:42:31 -0400 Subject: [PATCH 29/42] working, but there is a bug in underlying txt2png() call that is preventing upscaled images from being returned --- ldm/dream/server.py | 11 +++++++++-- static/dream_web/index.css | 5 ++++- static/dream_web/index.html | 8 ++++---- static/dream_web/index.js | 2 +- 4 files changed, 18 insertions(+), 8 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index e2eabc3e43..4133eb287c 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -46,6 +46,9 @@ class DreamServer(BaseHTTPRequestHandler): height = int(post_data['height']) cfgscale = float(post_data['cfgscale']) gfpgan_strength = float(post_data['gfpgan_strength']) + upscale_level = post_data['upscale_level'] + upscale_strength = post_data['upscale_strength'] + upscale = [int(upscale_level),float(upscale_strength)] if upscale_level != '' else None seed = None if int(post_data['seed']) == -1 else int(post_data['seed']) print(f"Request to generate with prompt: {prompt}") @@ -60,7 +63,9 @@ class DreamServer(BaseHTTPRequestHandler): height = height, seed = seed, steps = steps, - gfpgan_strength = gfpgan_strength) + gfpgan_strength = gfpgan_strength, + upscale = upscale + ) else: # Decode initimg as base64 to temp file with open("./img2img-tmp.png", "wb") as f: @@ -74,7 +79,9 @@ class DreamServer(BaseHTTPRequestHandler): cfg_scale = cfgscale, seed = seed, gfpgan_strength=gfpgan_strength, - steps = steps) + upscale = upscale, + steps = steps + ) # Remove the temp file os.remove("./img2img-tmp.png") diff --git a/static/dream_web/index.css b/static/dream_web/index.css index 482de93e16..d4240d3f35 100644 --- a/static/dream_web/index.css +++ b/static/dream_web/index.css @@ -32,6 +32,9 @@ fieldset { padding: 5px 10px 5px 10px; border: 1px solid black; } +#reset-all { + background-color: pink; +} #results { text-align: center; max-width: 1000px; @@ -48,7 +51,7 @@ img { line-height:2em; } input[type="number"] { - width: 30px; + width: 60px; } #seed { width: 150px; diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 79b4c9fc67..23e177905b 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -68,14 +68,14 @@

The options below require the GFPGAN and ESRGAN packages to be installed

- - - - + +
For news and support for this web service, visit our GitHub site
diff --git a/static/dream_web/index.js b/static/dream_web/index.js index df5ff82a9d..74ab1ef5f5 100644 --- a/static/dream_web/index.js +++ b/static/dream_web/index.js @@ -55,7 +55,7 @@ function loadFields(form) { function clearFields(form) { localStorage.clear() - form.reset() + location.reload() } async function generateSubmit(form) { From 7ae79b350ee2c6f93f1bf722cbc9675629215952 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Sun, 28 Aug 2022 19:57:13 -0700 Subject: [PATCH 30/42] write log files in utf-8, not ascii --- ldm/dream/server.py | 2 +- scripts/dream.py | 6 +++--- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index e2eabc3e43..0c4f2a48ad 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -83,7 +83,7 @@ class DreamServer(BaseHTTPRequestHandler): post_data['initimg'] = '' # Don't send init image back # Append post_data to log - with open("./outputs/img-samples/dream_web_log.txt", "a") as log: + with open("./outputs/img-samples/dream_web_log.txt", "a", encoding="utf-8") as log: for output in outputs: log.write(f"{output[0]}: {json.dumps(post_data)}\n") diff --git a/scripts/dream.py b/scripts/dream.py index e48b2e64a8..5c51c6e68b 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -69,7 +69,7 @@ def main(): if opt.infile: try: if os.path.isfile(opt.infile): - infile = open(opt.infile, 'r') + infile = open(opt.infile, 'r', encoding='utf-8') elif opt.infile == '-': # stdin infile = sys.stdin else: @@ -217,7 +217,7 @@ def get_next_command(infile=None) -> str: #command string command = command.strip() print(f'#{command}') return command - + def dream_server_loop(t2i): print('\n* --web was specified, starting web server...') # Change working directory to the stable-diffusion directory @@ -244,7 +244,7 @@ def write_log_message(prompt, results, log_path): log_lines = [f'{r[0]}: {prompt} -S{r[1]}\n' for r in results] print(*log_lines, sep='') - with open(log_path, 'a') as file: + with open(log_path, 'a', encoding='utf-8') as file: file.writelines(log_lines) From 617a029ae7a5b632adb181c7c7295d08e05dc591 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 23:12:49 -0400 Subject: [PATCH 31/42] pass outdir from txt2img() and img2img() to prompt2img() correctly --- ldm/simplet2i.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index f1aec32c29..3b869d4614 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -180,11 +180,11 @@ class T2I: return pngwriter.files_written def txt2img(self, prompt, **kwargs): - outdir = kwargs.get('outdir', 'outputs/img-samples') + outdir = kwargs.pop('outdir', 'outputs/img-samples') return self.prompt2png(prompt, outdir, **kwargs) def img2img(self, prompt, **kwargs): - outdir = kwargs.get('outdir', 'outputs/img-samples') + outdir = kwargs.pop('outdir', 'outputs/img-samples') assert ( 'init_img' in kwargs ), 'call to img2img() must include the init_img argument' From 05061a70b383fb00d29dfb27cb36fd7489c110af Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 23:13:23 -0400 Subject: [PATCH 32/42] report errors on non-cuda systems rather than failing silently --- ldm/simplet2i.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 3b869d4614..ab4778dc44 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -20,6 +20,7 @@ from contextlib import contextmanager, nullcontext import transformers import time import re +import sys from ldm.util import instantiate_from_config from ldm.models.diffusion.ddim import DDIMSampler @@ -540,6 +541,9 @@ class T2I: # model.to doesn't change the cond_stage_model.device used to move the tokenizer output, so set it here self.model.cond_stage_model.device = self.device except AttributeError: + import traceback + print('Error loading model. Only the CUDA backend is supported',file=sys.stderr) + print(traceback.format_exc(),file=sys.stderr) raise SystemExit self._set_sampler() From 03d8eb19e061a3a5ebec432387514eb004dac6bc Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 23:40:04 -0400 Subject: [PATCH 33/42] when no callback used, modify results list so that upscaled/face-fixed image replaces the old one --- ldm/simplet2i.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index ab4778dc44..95ba63dd76 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -350,6 +350,8 @@ class T2I: image_callback(image, seed) else: image_callback(image, seed, upscaled=True) + else: # no callback passed, so we simply replace old image with rescaled one + result[0] = image except KeyboardInterrupt: print('*interrupted*') From 46464ac677695096d1cda2d97bcadb920c1082a2 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Sun, 28 Aug 2022 23:45:50 -0400 Subject: [PATCH 34/42] remove unused metadatastr variable --- ldm/simplet2i.py | 2 -- 1 file changed, 2 deletions(-) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 95ba63dd76..d2f10c4a81 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -175,8 +175,6 @@ class T2I: outdir, prompt, kwargs.get('batch_size', self.batch_size) ) for r in results: - # gets written into the PNG - metadata_str = f'prompt2png("{prompt}" {kwargs} seed={r[1]}' pngwriter.write_image(r[0], r[1]) return pngwriter.files_written From e351d6ffe5eda3f5c922100e594ccb87ee615254 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 29 Aug 2022 00:06:42 -0400 Subject: [PATCH 35/42] set correct default values for scaling and sampler; closes issues #167 #157 --- static/dream_web/index.html | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 23e177905b..31816a2cd4 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -27,7 +27,7 @@ From 070795a3b4eddefccbace1120c5c3b0a79a805f0 Mon Sep 17 00:00:00 2001 From: tesseractcat Date: Fri, 26 Aug 2022 21:10:13 -0400 Subject: [PATCH 36/42] webui: stream progress events to page --- ldm/dream/server.py | 73 ++++++++++++++++++++------------ ldm/models/diffusion/ksampler.py | 6 ++- ldm/simplet2i.py | 13 +++++- static/dream_web/index.html | 3 +- static/dream_web/index.js | 53 ++++++++++++++--------- 5 files changed, 98 insertions(+), 50 deletions(-) diff --git a/ldm/dream/server.py b/ldm/dream/server.py index e2eabc3e43..6d11afb8e0 100644 --- a/ldm/dream/server.py +++ b/ldm/dream/server.py @@ -3,6 +3,7 @@ import base64 import mimetypes import os from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer +from ldm.dream.pngwriter import PngWriter class DreamServer(BaseHTTPRequestHandler): model = None @@ -50,17 +51,42 @@ class DreamServer(BaseHTTPRequestHandler): print(f"Request to generate with prompt: {prompt}") - outputs = [] + def image_done(image, seed): + config = post_data.copy() # Shallow copy + config['initimg'] = '' + + # Write PNGs + pngwriter = PngWriter( + "./outputs/img-samples/", config['prompt'], 1 + ) + pngwriter.write_image(image, seed) + + # Append post_data to log + with open("./outputs/img-samples/dream_web_log.txt", "a") as log: + for file_path, _ in pngwriter.files_written: + log.write(f"{file_path}: {json.dumps(config)}\n") + + self.wfile.write(bytes(json.dumps( + {'event':'result', 'files':pngwriter.files_written, 'config':config} + ) + '\n',"utf-8")) + + def image_progress(image, step): + self.wfile.write(bytes(json.dumps( + {'event':'step', 'step':step} + ) + '\n',"utf-8")) + if initimg is None: # Run txt2img - outputs = self.model.txt2img(prompt, - iterations=iterations, - cfg_scale = cfgscale, - width = width, - height = height, - seed = seed, - steps = steps, - gfpgan_strength = gfpgan_strength) + self.model.prompt2image(prompt, + iterations=iterations, + cfg_scale = cfgscale, + width = width, + height = height, + seed = seed, + steps = steps, + + step_callback=image_progress, + image_callback=image_done) else: # Decode initimg as base64 to temp file with open("./img2img-tmp.png", "wb") as f: @@ -68,28 +94,19 @@ class DreamServer(BaseHTTPRequestHandler): f.write(base64.b64decode(initimg)) # Run img2img - outputs = self.model.img2img(prompt, - init_img = "./img2img-tmp.png", - iterations = iterations, - cfg_scale = cfgscale, - seed = seed, - gfpgan_strength=gfpgan_strength, - steps = steps) + self.model.prompt2image(prompt, + init_img = "./img2img-tmp.png", + iterations = iterations, + cfg_scale = cfgscale, + seed = seed, + steps = steps, + step_callback=image_progress, + image_callback=image_done) + # Remove the temp file os.remove("./img2img-tmp.png") - print(f"Prompt generated with output: {outputs}") - - post_data['initimg'] = '' # Don't send init image back - - # Append post_data to log - with open("./outputs/img-samples/dream_web_log.txt", "a") as log: - for output in outputs: - log.write(f"{output[0]}: {json.dumps(post_data)}\n") - - outputs = [x + [post_data] for x in outputs] # Append config to each output - result = {'outputs': outputs} - self.wfile.write(bytes(json.dumps(result), "utf-8")) + print(f"Prompt generated!") class ThreadingDreamServer(ThreadingHTTPServer): diff --git a/ldm/models/diffusion/ksampler.py b/ldm/models/diffusion/ksampler.py index 1da81eee5a..6d463fa6ba 100644 --- a/ldm/models/diffusion/ksampler.py +++ b/ldm/models/diffusion/ksampler.py @@ -61,6 +61,9 @@ class KSampler(object): # this has to come in the same format as the conditioning, # e.g. as encoded tokens, ... **kwargs, ): + def route_callback(k_callback_values): + if img_callback is not None: + img_callback(k_callback_values['x'], k_callback_values['i']) sigmas = self.model.get_sigmas(S) if x_T: @@ -78,7 +81,8 @@ class KSampler(object): } return ( K.sampling.__dict__[f'sample_{self.schedule}']( - model_wrap_cfg, x, sigmas, extra_args=extra_args + model_wrap_cfg, x, sigmas, extra_args=extra_args, + callback=route_callback ), None, ) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index f1aec32c29..45656aa781 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -202,6 +202,7 @@ class T2I: ddim_eta=None, skip_normalize=False, image_callback=None, + step_callback=None, # these are specific to txt2img width=None, height=None, @@ -231,9 +232,14 @@ class T2I: gfpgan_strength // strength for GFPGAN. 0.0 preserves image exactly, 1.0 replaces it completely ddim_eta // image randomness (eta=0.0 means the same seed always produces the same image) variants // if >0, the 1st generated image will be passed back to img2img to generate the requested number of variants + step_callback // a function or method that will be called each step image_callback // a function or method that will be called each time an image is generated - To use the callback, define a function of method that receives two arguments, an Image object + To use the step callback, define a function that receives two arguments: + - Image GPU data + - The step number + + To use the image callback, define a function of method that receives two arguments, an Image object and the seed. You can then do whatever you like with the image, including converting it to different formats and manipulating it. For example: @@ -293,6 +299,7 @@ class T2I: skip_normalize=skip_normalize, init_img=init_img, strength=strength, + callback=step_callback, ) else: images_iterator = self._txt2img( @@ -305,6 +312,7 @@ class T2I: skip_normalize=skip_normalize, width=width, height=height, + callback=step_callback, ) with scope(self.device.type), self.model.ema_scope(): @@ -389,6 +397,7 @@ class T2I: skip_normalize, width, height, + callback, ): """ An infinite iterator of images from the prompt. @@ -412,6 +421,7 @@ class T2I: unconditional_guidance_scale=cfg_scale, unconditional_conditioning=uc, eta=ddim_eta, + img_callback=callback ) yield self._samples_to_images(samples) @@ -427,6 +437,7 @@ class T2I: skip_normalize, init_img, strength, + callback, # Currently not implemented for img2img ): """ An infinite iterator of images from the prompt and the initial image diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 21591ab9b4..dfde207030 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -58,8 +58,9 @@
For news and support for this web service, visit our GitHub site
+
+ -

No results...

 diff --git a/static/dream_web/index.js b/static/dream_web/index.js index 3b99deecf4..3952201b73 100644 --- a/static/dream_web/index.js +++ b/static/dream_web/index.js @@ -7,12 +7,11 @@ function toBase64(file) { }); } -function appendOutput(output) { +function appendOutput(src, seed, config) { let outputNode = document.createElement("img"); - outputNode.src = output[0]; + outputNode.src = src; - let outputConfig = output[2]; - let altText = output[1].toString() + " | " + outputConfig.prompt; + let altText = seed.toString() + " | " + config.prompt; outputNode.alt = altText; outputNode.title = altText; @@ -20,9 +19,9 @@ function appendOutput(output) { outputNode.addEventListener('click', () => { let form = document.querySelector("#generate-form"); for (const [k, v] of new FormData(form)) { - form.querySelector(`*[name=${k}]`).value = outputConfig[k]; + form.querySelector(`*[name=${k}]`).value = config[k]; } - document.querySelector("#seed").value = output[1]; + document.querySelector("#seed").value = seed; saveFields(document.querySelector("#generate-form")); }); @@ -30,12 +29,6 @@ function appendOutput(output) { document.querySelector("#results").prepend(outputNode); } -function appendOutputs(outputs) { - for (const output of outputs) { - appendOutput(output); - } -} - function saveFields(form) { for (const [k, v] of new FormData(form)) { if (typeof v !== 'object') { // Don't save 'file' type @@ -59,21 +52,43 @@ async function generateSubmit(form) { let formData = Object.fromEntries(new FormData(form)); formData.initimg = formData.initimg.name !== '' ? await toBase64(formData.initimg) : null; - // Post as JSON + document.querySelector('progress').setAttribute('max', formData.steps); + + // Post as JSON, using Fetch streaming to get results fetch(form.action, { method: form.method, body: JSON.stringify(formData), - }).then(async (result) => { - let data = await result.json(); + }).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) break; + + for (let event of value.split('\n').filter(e => e !== '')) { + const data = JSON.parse(event); + + if (data.event == 'result') { + noOutputs = false; + document.querySelector("#no-results-message")?.remove(); + + for (let [file, seed] of data.files) { + appendOutput(file, seed, data.config); + } + } else if (data.event == 'step') { + document.querySelector('progress').setAttribute('value', data.step.toString()); + } + } + } // Re-enable form, remove no-results-message form.querySelector('fieldset').removeAttribute('disabled'); document.querySelector("#prompt").value = prompt; + document.querySelector('progress').setAttribute('value', '0'); - if (data.outputs.length != 0) { - document.querySelector("#no-results-message")?.remove(); - appendOutputs(data.outputs); - } else { + if (noOutputs) { alert("Error occurred while generating."); } }); From f695988915c527ce577015897ebea9e49ef7d283 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Mon, 29 Aug 2022 09:47:20 -0700 Subject: [PATCH 37/42] fix whitespace in index.html --- static/dream_web/index.html | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index 27dbbbfe84..bd0040b15a 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -26,14 +26,14 @@ -
+ + + + +
- • - + • +
-

The options below require the GFPGAN and ESRGAN packages to be installed

+

The options below require the GFPGAN and ESRGAN packages to be installed

+ + + From d9eab7f383ee97800924ba5843d2d0cb058cc5e6 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Mon, 29 Aug 2022 09:47:45 -0700 Subject: [PATCH 38/42] use LF not CRLF for files, oh god --- static/dream_web/index.css | 138 ++++++++++---------- static/dream_web/index.html | 188 +++++++++++++------------- static/dream_web/index.js | 254 ++++++++++++++++++------------------ 3 files changed, 290 insertions(+), 290 deletions(-) diff --git a/static/dream_web/index.css b/static/dream_web/index.css index 2137b9907d..8b0f4785f7 100644 --- a/static/dream_web/index.css +++ b/static/dream_web/index.css @@ -1,69 +1,69 @@ -* { - font-family: 'Arial'; -} -#header { - text-decoration: dotted underline; -} -#search { - margin-top: 20vh; - margin-left: auto; - margin-right: auto; - max-width: 800px; - - text-align: center; -} -fieldset { - border: none; -} -#fieldset-search { - display: flex; -} -#scaling-inprocess-message{ - font-weight: bold; - font-style: italic; - display: none; -} -#prompt { - flex-grow: 1; - - border-radius: 20px 0px 0px 20px; - padding: 5px 10px 5px 10px; - border: 1px solid black; - border-right: none; - outline: none; -} -#submit { - border-radius: 0px 20px 20px 0px; - padding: 5px 10px 5px 10px; - border: 1px solid black; -} -#reset-all { - background-color: pink; -} -#results { - text-align: center; - max-width: 1000px; - margin: auto; - padding-top: 10px; -} -img { - cursor: pointer; - height: 30vh; - border-radius: 5px; - margin: 10px; -} -#fieldset-config { - line-height:2em; -} -input[type="number"] { - width: 60px; -} -#seed { - width: 150px; -} -hr { - width: 200px; -} -label { - white-space: nowrap; -} +* { + font-family: 'Arial'; +} +#header { + text-decoration: dotted underline; +} +#search { + margin-top: 20vh; + margin-left: auto; + margin-right: auto; + max-width: 800px; + + text-align: center; +} +fieldset { + border: none; +} +#fieldset-search { + display: flex; +} +#scaling-inprocess-message{ + font-weight: bold; + font-style: italic; + display: none; +} +#prompt { + flex-grow: 1; + + border-radius: 20px 0px 0px 20px; + padding: 5px 10px 5px 10px; + border: 1px solid black; + border-right: none; + outline: none; +} +#submit { + border-radius: 0px 20px 20px 0px; + padding: 5px 10px 5px 10px; + border: 1px solid black; +} +#reset-all { + background-color: pink; +} +#results { + text-align: center; + max-width: 1000px; + margin: auto; + padding-top: 10px; +} +img { + cursor: pointer; + height: 30vh; + border-radius: 5px; + margin: 10px; +} +#fieldset-config { + line-height:2em; +} +input[type="number"] { + width: 60px; +} +#seed { + width: 150px; +} +hr { + width: 200px; +} +label { + white-space: nowrap; +} diff --git a/static/dream_web/index.html b/static/dream_web/index.html index bd0040b15a..c145e5cd79 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -1,94 +1,94 @@ - - - Stable Diffusion Dream Server - - - - - - - - -
-
-

No results...

 -
-
- - + + + Stable Diffusion Dream Server + + + + + + + + +
+
+

No results...

 +
+
+ + diff --git a/static/dream_web/index.js b/static/dream_web/index.js index 839451c50b..8e6561ee76 100644 --- a/static/dream_web/index.js +++ b/static/dream_web/index.js @@ -1,127 +1,127 @@ -function toBase64(file) { - return new Promise((resolve, reject) => { - const r = new FileReader(); - r.readAsDataURL(file); - r.onload = () => resolve(r.result); - r.onerror = (error) => reject(error); - }); -} - -function appendOutput(src, seed, config) { - let outputNode = document.createElement("img"); - outputNode.src = src; - - let altText = seed.toString() + " | " + config.prompt; - outputNode.alt = altText; - outputNode.title = altText; - - // Reload image config - outputNode.addEventListener('click', () => { - let form = document.querySelector("#generate-form"); - for (const [k, v] of new FormData(form)) { - form.querySelector(`*[name=${k}]`).value = config[k]; - } - document.querySelector("#seed").value = seed; - - saveFields(document.querySelector("#generate-form")); - }); - - document.querySelector("#results").prepend(outputNode); -} - -function saveFields(form) { - for (const [k, v] of new FormData(form)) { - if (typeof v !== 'object') { // Don't save 'file' type - localStorage.setItem(k, v); - } - } -} - -function loadFields(form) { - for (const [k, v] of new FormData(form)) { - const item = localStorage.getItem(k); - if (item != null) { - form.querySelector(`*[name=${k}]`).value = item; - } - } -} - -function clearFields(form) { - localStorage.clear() - location.reload() -} - -async function generateSubmit(form) { - const prompt = document.querySelector("#prompt").value; - - // Convert file data to base64 - let formData = Object.fromEntries(new FormData(form)); - formData.initimg = formData.initimg.name !== '' ? await toBase64(formData.initimg) : null; - - document.querySelector('progress').setAttribute('max', formData.steps); - - // Post as JSON, using Fetch streaming to get results - fetch(form.action, { - method: form.method, - 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) break; - - for (let event of value.split('\n').filter(e => e !== '')) { - const data = JSON.parse(event); - - if (data.event == 'result') { - noOutputs = false; - document.querySelector("#no-results-message")?.remove(); - appendOutput(data.files[0],data.files[1],data.config) - } 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') { - document.querySelector('progress').setAttribute('value', data.step.toString()); - } - } - } - - // 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."); - } - }); - - // Disable form while generating - form.querySelector('fieldset').setAttribute('disabled',''); - document.querySelector("#prompt").value = `Generating: "${prompt}"`; -} - -window.onload = () => { - document.querySelector("#generate-form").addEventListener('submit', (e) => { - e.preventDefault(); - const form = e.target; - - generateSubmit(form); - }); - document.querySelector("#generate-form").addEventListener('change', (e) => { - saveFields(e.target.form); - }); - document.querySelector("#reset").addEventListener('click', (e) => { - document.querySelector("#seed").value = -1; - saveFields(e.target.form); - }); - document.querySelector("#reset-all").addEventListener('click', (e) => { - clearFields(e.target.form); - }); - loadFields(document.querySelector("#generate-form")); -}; +function toBase64(file) { + return new Promise((resolve, reject) => { + const r = new FileReader(); + r.readAsDataURL(file); + r.onload = () => resolve(r.result); + r.onerror = (error) => reject(error); + }); +} + +function appendOutput(src, seed, config) { + let outputNode = document.createElement("img"); + outputNode.src = src; + + let altText = seed.toString() + " | " + config.prompt; + outputNode.alt = altText; + outputNode.title = altText; + + // Reload image config + outputNode.addEventListener('click', () => { + let form = document.querySelector("#generate-form"); + for (const [k, v] of new FormData(form)) { + form.querySelector(`*[name=${k}]`).value = config[k]; + } + document.querySelector("#seed").value = seed; + + saveFields(document.querySelector("#generate-form")); + }); + + document.querySelector("#results").prepend(outputNode); +} + +function saveFields(form) { + for (const [k, v] of new FormData(form)) { + if (typeof v !== 'object') { // Don't save 'file' type + localStorage.setItem(k, v); + } + } +} + +function loadFields(form) { + for (const [k, v] of new FormData(form)) { + const item = localStorage.getItem(k); + if (item != null) { + form.querySelector(`*[name=${k}]`).value = item; + } + } +} + +function clearFields(form) { + localStorage.clear() + location.reload() +} + +async function generateSubmit(form) { + const prompt = document.querySelector("#prompt").value; + + // Convert file data to base64 + let formData = Object.fromEntries(new FormData(form)); + formData.initimg = formData.initimg.name !== '' ? await toBase64(formData.initimg) : null; + + document.querySelector('progress').setAttribute('max', formData.steps); + + // Post as JSON, using Fetch streaming to get results + fetch(form.action, { + method: form.method, + 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) break; + + for (let event of value.split('\n').filter(e => e !== '')) { + const data = JSON.parse(event); + + if (data.event == 'result') { + noOutputs = false; + document.querySelector("#no-results-message")?.remove(); + appendOutput(data.files[0],data.files[1],data.config) + } 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') { + document.querySelector('progress').setAttribute('value', data.step.toString()); + } + } + } + + // 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."); + } + }); + + // Disable form while generating + form.querySelector('fieldset').setAttribute('disabled',''); + document.querySelector("#prompt").value = `Generating: "${prompt}"`; +} + +window.onload = () => { + document.querySelector("#generate-form").addEventListener('submit', (e) => { + e.preventDefault(); + const form = e.target; + + generateSubmit(form); + }); + document.querySelector("#generate-form").addEventListener('change', (e) => { + saveFields(e.target.form); + }); + document.querySelector("#reset").addEventListener('click', (e) => { + document.querySelector("#seed").value = -1; + saveFields(e.target.form); + }); + document.querySelector("#reset-all").addEventListener('click', (e) => { + clearFields(e.target.form); + }); + loadFields(document.querySelector("#generate-form")); +}; From 754525be82ff2ae1fbd4a7697fb17a10e198bfd2 Mon Sep 17 00:00:00 2001 From: Kevin Gibbons Date: Mon, 29 Aug 2022 08:26:14 -0700 Subject: [PATCH 39/42] fix reset logic --- static/dream_web/index.html | 2 +- static/dream_web/index.js | 8 +++++--- 2 files changed, 6 insertions(+), 4 deletions(-) diff --git a/static/dream_web/index.html b/static/dream_web/index.html index c145e5cd79..34ee69bad2 100644 --- a/static/dream_web/index.html +++ b/static/dream_web/index.html @@ -61,7 +61,7 @@ - + •
diff --git a/static/dream_web/index.js b/static/dream_web/index.js index 8e6561ee76..ec9626f327 100644 --- a/static/dream_web/index.js +++ b/static/dream_web/index.js @@ -47,8 +47,10 @@ function loadFields(form) { } function clearFields(form) { - localStorage.clear() - location.reload() + localStorage.clear(); + let prompt = form.prompt.value; + form.reset(); + form.prompt.value = prompt; } async function generateSubmit(form) { @@ -116,7 +118,7 @@ window.onload = () => { document.querySelector("#generate-form").addEventListener('change', (e) => { saveFields(e.target.form); }); - document.querySelector("#reset").addEventListener('click', (e) => { + document.querySelector("#reset-seed").addEventListener('click', (e) => { document.querySelector("#seed").value = -1; saveFields(e.target.form); }); From f33ae1bdf4220b77489fd201e021e377d891ab46 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 29 Aug 2022 12:58:48 -0400 Subject: [PATCH 40/42] Display new features more prominently in the README --- README.md | 33 ++++++++++++++++++++++++++++++++- 1 file changed, 32 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index c18b43d8fe..12bc27cb54 100644 --- a/README.md +++ b/README.md @@ -1,7 +1,29 @@ # Stable Diffusion Dream Script This is a fork of CompVis/stable-diffusion, the wonderful open source -text-to-image generator. The original has been improved in several ways: +text-to-image generator. This fork supports: + +1. An interactive command-line interface that accepts the same prompt +and switches as the Discord bot. + +2. Support for img2img in which you provide a seed image to build on +top of. + +3. A basic Web interface that allows you to run a local web server for +generating images in your browser. + +4. Upscaling and face fixing using the optional ESRGAN and GFPGAN +packages. + +5. Weighted subprompts for prompt tuning. + +6. Textual inversion for customization of the prompt language and images. + +7. ...and more! + +This fork is rapidly evolving, so use the Issues panel to report bugs +and make feature requests, and check back periodically for +improvements and bug fixes. ## Interactive command-line interface similar to the Discord bot @@ -334,6 +356,15 @@ repository and associated paper for details and limitations. ## Changes +- v1.13 (in process) + - Supports a Google Colab notebook for a standalone server running on Google hardware [Arturo Mendivil](https://github.com/artmen1516) + - WebUI supports GFPGAN/ESRGAN facial reconstruction and upscaling [Kevin Gibbons](https://github.com/bakkot) + - WebUI supports incremental display of in-progress images during generation [Kevin Gibbons](https://github.com/bakkot) + - Output directory can be specified on the dream> command line. + - The grid was displaying duplicated images when not enough images to fill the final row [Muhammad Usama](https://github.com/SMUsamaShah) + - Can specify --grid on dream.py command line as the default. + - Miscellaneous internal bug and stability fixes. + - v1.12 (28 August 2022) - Improved file handling, including ability to read prompts from standard input. From c7db038c9697e63a397c9f351a1eb75a022a9037 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 29 Aug 2022 13:39:20 -0400 Subject: [PATCH 41/42] grid is broken, needs the grid-fix PR#166 to fix --- ldm/dream/pngwriter.py | 2 +- ldm/simplet2i.py | 2 ++ scripts/dream.py | 18 ++++++++++++++++-- 3 files changed, 19 insertions(+), 3 deletions(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 42bb575a97..f48f1ee27b 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -86,7 +86,7 @@ class PngWriter: if None in (rows, cols): rows = floor(sqrt(image_cnt)) # try to make it square cols = ceil(image_cnt / rows) - width = image_list[0].width + width = image_list[0].width height = image_list[0].height grid_img = Image.new('RGB', (width * cols, height * rows)) diff --git a/ldm/simplet2i.py b/ldm/simplet2i.py index 0f65acccb7..7ec275751e 100644 --- a/ldm/simplet2i.py +++ b/ldm/simplet2i.py @@ -122,6 +122,7 @@ class T2I: cfg_scale=7.5, weights='models/ldm/stable-diffusion-v1/model.ckpt', config='configs/stable-diffusion/v1-inference.yaml', + grid=False, width=512, height=512, sampler_name='klms', @@ -147,6 +148,7 @@ class T2I: self.sampler_name = sampler_name self.latent_channels = latent_channels self.downsampling_factor = downsampling_factor + self.grid = grid self.ddim_eta = ddim_eta self.precision = precision self.full_precision = full_precision diff --git a/scripts/dream.py b/scripts/dream.py index 5c51c6e68b..eb00ea564d 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -51,6 +51,7 @@ def main(): weights=weights, full_precision=opt.full_precision, config=config, + grid = opt.grid, # this is solely for recreating the prompt latent_diffusion_weights=opt.laion400m, embedding_path=opt.embedding_path, @@ -179,7 +180,8 @@ def main_loop(t2i, outdir, parser, infile): file_writer.files_written if individual_images else image_list ) - if opt.grid and len(results) > 0: + grid = opt.grid or t2i.grid + if grid and len(results) > 0: grid_img = file_writer.make_grid([r[0] for r in results]) filename = file_writer.unique_filename(results[0][1]) seeds = [a[1] for a in results] @@ -261,7 +263,13 @@ SAMPLER_CHOICES=[ def create_argv_parser(): parser = argparse.ArgumentParser( - description="Parse script's command line args" + description="""Generate images using Stable Diffusion. + Use --web to launch the web interface. + Use --from_file to load prompts from a file path or standard input ("-"). + Otherwise you will be dropped into an interactive command prompt (type -h for help.) + Other command-line arguments are defaults that can usually be overridden + prompt the command prompt. +""" ) parser.add_argument( '--laion400m', @@ -291,6 +299,12 @@ def create_argv_parser(): action='store_true', help='Use slower full precision math for calculations', ) + parser.add_argument( + '-g', + '--grid', + action='store_true', + help='Generate a grid instead of individual images', + ) parser.add_argument( '-A', '-m', From 38701a6d7b7c9c1ce815dce574e351959acd2736 Mon Sep 17 00:00:00 2001 From: Lincoln Stein Date: Mon, 29 Aug 2022 13:52:44 -0400 Subject: [PATCH 42/42] Fix IndexError when generating grid; --grid option can now be passed on shell command line --- ldm/dream/pngwriter.py | 2 ++ scripts/dream.py | 7 ++++--- 2 files changed, 6 insertions(+), 3 deletions(-) diff --git a/ldm/dream/pngwriter.py b/ldm/dream/pngwriter.py index 46ef493149..584d4479ba 100644 --- a/ldm/dream/pngwriter.py +++ b/ldm/dream/pngwriter.py @@ -93,6 +93,8 @@ class PngWriter: i = 0 for r in range(0, rows): for c in range(0, cols): + if i>=len(image_list): + break grid_img.paste(image_list[i], (c * width, r * height)) i = i + 1 diff --git a/scripts/dream.py b/scripts/dream.py index eb00ea564d..08d269633a 100755 --- a/scripts/dream.py +++ b/scripts/dream.py @@ -163,7 +163,9 @@ def main_loop(t2i, outdir, parser, infile): opt.seed = None normalized_prompt = PromptFormatter(t2i, opt).normalize_prompt() - individual_images = not opt.grid + do_grid = opt.grid or t2i.grid + individual_images = not do_grid + if opt.outdir: if not os.path.exists(opt.outdir): os.makedirs(opt.outdir) @@ -180,8 +182,7 @@ def main_loop(t2i, outdir, parser, infile): file_writer.files_written if individual_images else image_list ) - grid = opt.grid or t2i.grid - if grid and len(results) > 0: + if do_grid and len(results) > 0: grid_img = file_writer.make_grid([r[0] for r in results]) filename = file_writer.unique_filename(results[0][1]) seeds = [a[1] for a in results]