dream-textures VS k-diffusion

Compare dream-textures vs k-diffusion and see what are their differences.

k-diffusion

Karras et al. (2022) diffusion models for PyTorch (by lstein)
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dream-textures k-diffusion
72 1
7,572 3
- -
5.8 10.0
14 days ago over 1 year ago
Python Python
GNU General Public License v3.0 only MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

dream-textures

Posts with mentions or reviews of dream-textures. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-17.

k-diffusion

Posts with mentions or reviews of k-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-10.
  • Stable Diffusion Built-In to the Blender Shader Editor
    8 projects | /r/blender | 10 Sep 2022
    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.

What are some alternatives?

When comparing dream-textures and k-diffusion you can also consider the following projects:

stable-diffusion-webui - Stable Diffusion web UI

stable-diffusion

stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]

stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM

stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]

stable-diffusion-nvidia-docker - GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.

DeepBump - Normal & height maps generation from single pictures

ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.

CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image