Instructions to use Metal079/SonicDiffusionV3-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Metal079/SonicDiffusionV3-Beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Metal079/SonicDiffusionV3-Beta", 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
Download vae/diffusion_pytorch_model.bin from Metal079/SonicDiffusionV3-Beta: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Metal079/SonicDiffusionV3-Beta/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Metal079/SonicDiffusionV3-Beta@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Metal079/SonicDiffusionV3-Beta/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
167 MB
- Xet hash:
- a090368f8a1df89a3eaa81722a61718c4e5e286f9e421b6cb0965373e7c195a7
- Size of remote file:
- 167 MB
- SHA256:
- 15a996c812c0e5b1a5c5815ab0192244c9876e073a6eda3b576b204a968167c3
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