metadata

title: Diffusion Zero
short_description: Image generation studio on ZeroGPU
emoji: 🧨
colorFrom: purple
colorTo: blue
sdk: gradio
sdk_version: 4.41.0
python_version: 3.11.9
app_file: app.py
fullWidth: false
pinned: true
header: mini
license: apache-2.0
models:
  - ai-forever/Real-ESRGAN
  - Comfy-Org/stable-diffusion-v1-5-archive
  - cyberdelia/CyberRealistic
  - fluently/Fluently-v4
  - h94/IP-Adapter
  - Linaqruf/anything-v3-1
  - Lykon/dreamshaper-8
  - prompthero/openjourney-v4
  - SG161222/Realistic_Vision_V5.1_noVAE
  - XpucT/Deliberate
preload_from_hub:
  - ai-forever/Real-ESRGAN RealESRGAN_x2.pth,RealESRGAN_x4.pth
  - Comfy-Org/stable-diffusion-v1-5-archive v1-5-pruned-emaonly-fp16.safetensors
  - cyberdelia/CyberRealistic CyberRealistic_V5_FP16.safetensors
  - fluently/Fluently-v4 Fluently-v4.safetensors
  - >-
    h94/IP-Adapter
    models/ip-adapter-full-face_sd15.safetensors,models/ip-adapter-plus_sd15.safetensors,models/image_encoder/model.safetensors
  - Linaqruf/anything-v3-1 anything-v3-2.safetensors
  - >-
    Lykon/dreamshaper-8
    text_encoder/model.fp16.safetensors,unet/diffusion_pytorch_model.fp16.safetensors,vae/diffusion_pytorch_model.fp16.safetensors,model_index.json
  - prompthero/openjourney-v4 openjourney-v4.ckpt
  - >-
    SG161222/Realistic_Vision_V5.1_noVAE
    Realistic_Vision_V5.1_fp16-no-ema.safetensors
  - XpucT/Deliberate Deliberate_v6.safetensors

diffusion

Gradio app for Stable Diffusion 1.5 featuring:

txt2img and img2img pipelines with IP-Adapter
Curated models, LoRAs, and TI embeddings
100+ styles from sdxl_prompt_styler
150+ prompts from StableStudio
Compel prompt weighting
Multiple samplers with Karras scheduling
DeepCache, FreeU, and Clip Skip available
Real-ESRGAN upscaling
Optional tiny autoencoder

There's also a CLI. SDXL and Flux coming very soon! 🤩

Motivation

I want to:

host a free and easy-to-use Stable Diffusion UI on ZeroGPU
provide the necessary tools for common workflows
curate useful models, adapters, and embeddings
prefer Diffusers over custom PyTorch
be fast on 8GB with no offloading
only support CUDA on Linux/WSL

Usage

See DOCS.md.

Installation

# clone
git clone https://huggingface.co/spaces/adamelliotfields/diffusion.git
cd diffusion
git remote set-url origin https://adamelliotfields:$HF_TOKEN@huggingface.co/spaces/adamelliotfields/diffusion

# install
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt torch==2.4.0 torchvision==0.19.0

# gradio
python app.py --port 7860

# cli
python cli.py 'an astronaut riding a horse on mars'

Development

See pull requests and discussions.

git fetch origin refs/pr/42:pr/42
git checkout pr/42
# ...
git add .
git commit -m "Commit message"
git push origin pr/42:refs/pr/42