Instructions to use hunyuanvideo-community/HunyuanImage-2.1-Distilled-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-Distilled-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-Distilled-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
HunyuanImage-2.1-Distilled-Diffusers / transformer /diffusion_pytorch_model-00003-of-00004.safetensors
- Xet hash:
- 674815bd9576b8e29118a1eb947b55724e6ebcba18a5125a39f265645d3832e4
- Size of remote file:
- 9.94 GB
- SHA256:
- 87dc7873fc781edfe3b5329238b60a3cf8aa2528d80c72a1b8c76607c539ec34
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