Instructions to use Metal079/SonicDiffusionV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Metal079/SonicDiffusionV2 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/SonicDiffusionV2", 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 SonicDiffusionV2.ckpt from Metal079/SonicDiffusionV2: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/Metal079/SonicDiffusionV2/resolve/main/SonicDiffusionV2.ckpt
- Command line
-
hf download hf://Metal079/SonicDiffusionV2/SonicDiffusionV2.ckpt
-
curl -L -o SonicDiffusionV2.ckpt https://huggingface.co/Metal079/SonicDiffusionV2/resolve/main/SonicDiffusionV2.ckpt
2.13 GB
- Xet hash:
- f7f7f5a2c66bc3733445524446393f17eecdff545368b919bb0f99e53e71a55a
- Size of remote file:
- 2.13 GB
- SHA256:
- 4b08d91ba6e4efb6317a272684ef821d91fa33bda1078d051964b7866ef6f8c1
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