k-diffusion
stable-diffusion
k-diffusion | stable-diffusion | |
---|---|---|
1 | 186 | |
3 | 3,145 | |
- | - | |
10.0 | 0.0 | |
over 1 year ago | 8 months ago | |
Python | Jupyter Notebook | |
MIT License | GNU General Public License v3.0 or later |
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k-diffusion
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Stable Diffusion Built-In to the Blender Shader Editor
Traceback (most recent call last): File "C:\Program Files\Blender Foundation\Blender 3.3\3.3\scripts\modules\bpy_types.py", line 877, in draw_ls def draw_ls(self, context): KeyboardInterrupt pip 22.2.2 from C:\Program Files\Blender Foundation\Blender 3.3\3.3\python\lib\site-packages\pip (python 3.10) adding trusted host: 'https://download.pytorch.org' (from line 28 of C:\Users\User\AppData\Roaming\Blender Foundation\Blender\3.3\scripts\addons\dream-textures-main\requirements-win32.txt) Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu113 Collecting clip Cloning https://github.com/openai/CLIP.git (to revision main) to c:\users\User\appdata\local\temp\pip-install-2ius2mgu\clip_37ce50499447435b9459dae25dc81033 Running command git clone --filter=blob:none --quiet https://github.com/openai/CLIP.git 'C:\Users\User\AppData\Local\Temp\pip-install-2ius2mgu\clip_37ce50499447435b9459dae25dc81033' Resolved https://github.com/openai/CLIP.git to commit d50d76daa670286dd6cacf3bcd80b5e4823fc8e1 Preparing metadata (setup.py) ... done Collecting k-diffusion Cloning https://github.com/lstein/k-diffusion.git (to revision master) to c:\users\User\appdata\local\temp\pip-install-2ius2mgu\k-diffusion_c1dbf384fd4443c3a23c90b01606a7a9 Running command git clone --filter=blob:none --quiet https://github.com/lstein/k-diffusion.git 'C:\Users\User\AppData\Local\Temp\pip-install-2ius2mgu\k-diffusion_c1dbf384fd4443c3a23c90b01606a7a9' Resolved https://github.com/lstein/k-diffusion.git to commit ef1bf07627c9a10ba9137e68a0206b844544a7d9 Installing build dependencies ... done Getting requirements to build wheel ... done Installing backend dependencies ... done Preparing metadata (pyproject.toml) ... done Obtaining file:///C:/Users/User/AppData/Roaming/Blender%20Foundation/Blender/3.3/scripts/addons/dream-textures-main/stable_diffusion (from -r C:\Users\User\AppData\Roaming\Blender Foundation\Blender\3.3\scripts\addons\dream-textures-main\requirements-win32.txt (line 32)) ERROR: file:///C:/Users/User/AppData/Roaming/Blender%20Foundation/Blender/3.3/scripts/addons/dream-textures-main/stable_diffusion (from -r C:\Users\User\AppData\Roaming\Blender Foundation\Blender\3.3\scripts\addons\dream-textures-main\requirements-win32.txt (line 32)) does not appear to be a Python project: neither 'setup.py' nor 'pyproject.toml' found.
stable-diffusion
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Possible to load Civitai models in basujindal optimizedSD fork?
I am using this repo: https://github.com/basujindal/stable-diffusion and it works fine with e.g. this model: https://huggingface.co/CompVis/stable-diffusion-v-1-4-original
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40min to render 2x 256x256 pictures ..
That includes this optimized version : https://github.com/basujindal/stable-diffusion
- [Stable Diffusion] Coincé chez Unet: courir en mode EPS-Prédiction
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How to use safetensors locally (optimized-sd)?
Ah, I wasn't aware of that. I use this version, which was very easy to set up and use by CLI.
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[Stable Diffusion] stabile Diffusion 1.4 - CUDA-Speicherfehler
Used repo recommended in https://github.com/CompVis/stable-diffusion/issues/39 to use https://github.com/basujindal/stable-diffusion - same result.
- [Stable Diffusion] Aide avec Cuda hors de mémoire
- [Stable Diffusion] Comment créer notre propre modèle?
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Help installing optimisedSD please. Thank you so much!
As per the best solution I found, I have download this (https://github.com/basujindal/stable-diffusion) version and pasted the optimizedSD folder in the main (user>stable-diffusion-webui) folder as per site instruction.
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Stable Diffusion Web UI: Using Optimized SD Post-Installation
The git says you can simply grab the OptimizedSD folder and paste it into the installation path, which I did. However, I'm not sure how to call upon its functionality. Again, the reddit post says >Remember to call the optimized python script python optimizedSD/optimized_txt2img.py instead of standard scripts/txt2img. Though I'm not even sure where that script call is performed. Any ideas? Thanks in advance!
- [Stablediffusion] diffusion stable 1.4 - Erreur CUDA de mémoire insuffisante
What are some alternatives?
dream-textures - Stable Diffusion built-in to Blender
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI
diffusers-uncensored - Uncensored fork of diffusers
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
chaiNNer - A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application.
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
stable-diffusion - A latent text-to-image diffusion model