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
- Draw Things
- DiffusionBee
- Xet hash:
- 2a151966374ca8042d365e345e287de36e0468f8741b113de48ef3c561aaf86a
- Size of remote file:
- 492 MB
- SHA256:
- 680d526a21febb2cf0235ec28f1cfd03f0293aa089e56c095390e2e080540683
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