k-diffusion VS stable-diffusion-webui

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.

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8