Instructions to use hunyuanvideo-community/HunyuanImage-2.1-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hunyuanvideo-community/HunyuanImage-2.1-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hunyuanvideo-community/HunyuanImage-2.1-Diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update transformer/config.json
Verified signature7e7b7a1 -
Update README.md
Verified signaturefcc1876 -
Update README.md
Verified signature9358cff
-
Update model_index.json
Verified signature962b968 -
Upload AdaptiveProjectedMixGuidance
Verified signature1e2c022 -
Upload AdaptiveProjectedMixGuidance
Verified signature1efb29e
-
Update scheduler/scheduler_config.json
Verified signature8e1d652
-
Create README.md
Verified signaturec5f78fc
-
Update vae/config.json
Verified signaturef073438 -
Add files using upload-large-folder tool
Verified signaturecfc3e6d -
initial commit
Verified signaturebd6ddd4