k-diffusion
stable-diffusion
k-diffusion | stable-diffusion | |
---|---|---|
1 | 26 | |
3 | 203 | |
- | - | |
10.0 | 0.0 | |
over 1 year ago | over 1 year 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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Trying to merge model checkpoints and getting an error
Looks like Doggettx is a fork of CompVis/stable-diffusion, as a proof of concept:
- Stable Diffusion links from around September 11, 2022 that I collected for further processing
- Stable Diffusion for AMD GPUs on Windows using DirectML (Txt2Img, Img2Img & Inpainting) easy to setup (Python + Git)
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Has anyone made a commandline client to use Automatic1111's version of Stable Diffusion over the network?
Don't use a UI if you want terminal access. Use a project meant for terminal. https://github.com/Doggettx/stable-diffusion/tree/autocast-improvements
- Looking at cheap high VRAM old tesla cards to run stable diffusion at high res!
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Looking for a script I saw mentioned but can't find. Prompt Editing over Steps
The feature is just called prompt editing or prompt2prompt. It is also implemented in the Automatic1111 webui.
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Any way to fix this?
Depends on what fork you are using but its just means you are running out of vram since it states you only have 4gb of it. You may need to use the optimizedsd scripts and use the Doggettx's attention.py, you can find this in ldm/modules/attention.py (I personally have 2 of those in my own folder since I need to switch them but typically you require 6gb min for sd.
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Jabba The Hutt as a newborn
I installed SD from the CompVis GitHub repo and then swapped in modifications (namely attention.py and main.py) done by u/Doggettx that can be found here to overcome CUDA Out Of Memory issues. Going to try larger image sizes next. I wish you all good luck with concentrating on real work with this imaginatron around! ðŸ¤
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Stable Diffusion Gui Benchmark Results: Loading... Generated 1 image in 5.58s (20/20)
using optimized attention.py and model.py from this github issue.
- This community continues to blow me away. 8 days ago I was amazed by my 1408 x 960 resolution image. With all the new features I'm now doing 6 megapixel native output (3072x2048). That's 24 times more pixels than 512x512. Full workflow in comments.
What are some alternatives?
dream-textures - Stable Diffusion built-in to Blender
stable-diffusion
stable-diffusion-webui - Stable Diffusion web UI
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-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
stable-diffusion - A latent text-to-image diffusion model
stable-diffusion
text2image-gui - Somewhat modular text2image GUI, initially just for Stable Diffusion