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https://github.com/invoke-ai/InvokeAI
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Merge branch 'main' into lstein-improve-migration
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Lincoln Stein
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commit
5fa8f8be43
@ -1,21 +1,21 @@
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stable-diffusion-2.1-768:
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stable-diffusion-2_1-768:
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description: Stable Diffusion version 2.1 diffusers model, trained on 768x768 images (5.21 GB)
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repo_id: stabilityai/stable-diffusion-2-1
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format: diffusers
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recommended: True
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stable-diffusion-2.1-base:
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stable-diffusion-2_1-base:
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description: Stable Diffusion version 2.1 diffusers base model, trained on 512x512 images (5.21 GB)
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repo_id: stabilityai/stable-diffusion-2-1-base
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format: diffusers
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recommended: False
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stable-diffusion-1.5:
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stable-diffusion-1_5:
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description: Stable Diffusion version 1.5 weight file (4.27 GB)
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repo_id: runwayml/stable-diffusion-v1-5
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format: diffusers
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recommended: True
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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stable-diffusion-1.4:
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stable-diffusion-1_4:
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description: The original Stable Diffusion version 1.4 weight file (4.27 GB)
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repo_id: CompVis/stable-diffusion-v1-4
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recommended: False
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@ -24,7 +24,7 @@ stable-diffusion-1.4:
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repo_id: stabilityai/sd-vae-ft-mse
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width: 512
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height: 512
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inpainting-1.5:
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inpainting-1_5:
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description: RunwayML SD 1.5 model optimized for inpainting (ckpt version) (4.27 GB)
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repo_id: runwayml/stable-diffusion-inpainting
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config: v1-inpainting-inference.yaml
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@ -36,12 +36,12 @@ inpainting-1.5:
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recommended: True
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width: 512
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height: 512
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waifu-diffusion-1.4:
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waifu-diffusion-1_4:
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description: Latest waifu diffusion 1.4 (diffusers version)
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format: diffusers
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repo_id: hakurei/waifu-diffusion
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recommended: True
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waifu-diffusion-1.3:
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waifu-diffusion-1_3:
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description: Stable Diffusion 1.4 fine tuned on anime-styled images (ckpt version) (4.27 GB)
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repo_id: hakurei/waifu-diffusion-v1-3
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config: v1-inference.yaml
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@ -53,14 +53,14 @@ waifu-diffusion-1.3:
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recommended: False
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width: 512
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height: 512
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trinart-2.0:
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trinart-2_0:
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description: An SD model finetuned with ~40,000 assorted high resolution manga/anime-style pictures (2.13 GB)
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repo_id: naclbit/trinart_stable_diffusion_v2
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format: diffusers
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recommended: False
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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trinart_characters-2.0:
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trinart_characters-2_0:
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description: An SD model finetuned with 19.2M anime/manga style images (ckpt version) (4.27 GB)
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repo_id: naclbit/trinart_derrida_characters_v2_stable_diffusion
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config: v1-inference.yaml
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@ -72,19 +72,19 @@ trinart_characters-2.0:
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recommended: False
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width: 512
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height: 512
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anything-4.0:
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anything-4_0:
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description: High-quality, highly detailed anime style images with just a few prompts
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format: diffusers
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repo_id: andite/anything-v4.0
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recommended: False
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papercut-1.0:
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papercut-1_0:
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description: SD 1.5 fine-tuned for papercut art (use "PaperCut" in your prompts) (2.13 GB)
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repo_id: Fictiverse/Stable_Diffusion_PaperCut_Model
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format: diffusers
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vae:
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repo_id: stabilityai/sd-vae-ft-mse
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recommended: False
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voxel_art-1.0:
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voxel_art-1_0:
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description: Stable Diffusion trained on voxel art (use "VoxelArt" in your prompts) (4.27 GB)
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repo_id: Fictiverse/Stable_Diffusion_VoxelArt_Model
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config: v1-inference.yaml
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@ -12,17 +12,18 @@ title: Installing Manually
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## Introduction
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You have two choices for manual installation, the [first
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one](#PIP_method) uses basic Python virtual environment (`venv`)
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commands and the PIP package manager. The [second one](#Conda_method)
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based on the Anaconda3 package manager (`conda`). Both methods require
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you to enter commands on the terminal, also known as the "console".
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You have two choices for manual installation.
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The [first one](#pip-Install) uses basic Python virtual environment (`venv`)
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command and `pip` package manager.
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The [second one](#Conda-method) uses Anaconda3 package manager (`conda`).
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Both methods require you to enter commands on the terminal, also known as the
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"console".
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Note that the conda install method is currently deprecated and will not
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be supported at some point in the future.
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Note that the `conda` installation method is currently deprecated and will
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not be supported at some point in the future.
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On Windows systems you are encouraged to install and use the
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[Powershell](https://learn.microsoft.com/en-us/powershell/scripting/install/installing-powershell-on-windows?view=powershell-7.3),
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On Windows systems, you are encouraged to install and use the
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[PowerShell](https://learn.microsoft.com/en-us/powershell/scripting/install/installing-powershell-on-windows?view=powershell-7.3),
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which provides compatibility with Linux and Mac shells and nice
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features such as command-line completion.
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@ -37,7 +38,7 @@ manager, please follow these steps:
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```bash
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python -V
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```
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2. Clone the [InvokeAI](https://github.com/invoke-ai/InvokeAI) source code from
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GitHub:
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@ -52,15 +53,15 @@ manager, please follow these steps:
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environment named `invokeai`:
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```bash
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python -mvenv invokeai
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python -m venv invokeai
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source invokeai/bin/activate
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```
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4. Make sure that pip is installed in your virtual environment an up to date:
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4. Make sure that pip is installed in your virtual environment an up to date:
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```bash
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python -mensurepip --upgrade
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python -mpip install --upgrade pip
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python -m ensurepip --upgrade
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python -m pip install --upgrade pip
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```
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5. Pick the correct `requirements*.txt` file for your hardware and operating
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@ -199,20 +200,20 @@ manager, please follow these steps:
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You can permanently set the location of the runtime directory by setting the environment variable INVOKEAI_ROOT to the path of the directory.
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9. Render away!
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9. Render away!
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Browse the [features](../features/CLI.md) section to learn about all the things you
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can do with InvokeAI.
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Note that some GPUs are slow to warm up. In particular, when using an AMD
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card with the ROCm driver, you may have to wait for over a minute the first
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time you try to generate an image. Fortunately, after the warm up period
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time you try to generate an image. Fortunately, after the warm-up period
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rendering will be fast.
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10. Subsequently, to relaunch the script, be sure to run "conda activate
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invokeai", enter the `InvokeAI` directory, and then launch the invoke
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script. If you forget to activate the 'invokeai' environment, the script
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will fail with multiple `ModuleNotFound` errors.
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10. Subsequently, to relaunch the script, be sure to enter `InvokeAI` directory,
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activate the virtual environment, and then launch `invoke.py` script.
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If you forget to activate the virtual environment,
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the script will fail with multiple `ModuleNotFound` errors.
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!!! tip
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@ -3,6 +3,7 @@ accelerate
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albumentations
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datasets
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diffusers[torch]~=0.11
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dnspython==2.2.1
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einops
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eventlet
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facexlib
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