diffusion-ui-backend
Gradio backend for the diffusion-ui web frontend using an unified Stable Diffusion diffusers pipeline
The gradio interface provides an API to generate images with Stable Diffusion for:
- text-to-image
- image-to-image
- inpainting
Documentation
The documentation is available here
Installation
Detailled installation instructions are available in the documentation.
First install pytorch with cuda support (if you have a NVIDIA GPU):
conda install pytorch torchvision torchaudio cudatoolkit=11.6 -c pytorch -c conda-forge
Then install diffusionui and its dependencies:
pip install diffusionui
First Usage
The first time, you have to download the model:
- create an account on https://huggingface.co
- Click on this page to accept the LICENSE
- generate a token in your settings
- login on your console with
huggingface-cli login - then download the model with:
# using the low-memory model (for GPUs with low VRAM)
diffusionui --low-mem --download-model
# or using the full model
diffusionui --download-model
Usage
Once the model has been downloaded, you can start the backend by running:
# For the low-memory model
diffusionui --low-mem
# For the full model
diffusionui
It should produce an local URL for the gradio interface:
Running on local URL: http://127.0.0.1:7860/
1 maintainer
Metadata
1 maintainer
Release files for diffusionui 0.4.1
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| File | Size | Uploaded | Provenance | Actions |
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Total release size: 24.1 kB
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