Instructions to use yanqinJiang/mvdream-sd1.5-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yanqinJiang/mvdream-sd1.5-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("yanqinJiang/mvdream-sd1.5-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
Download vae/diffusion_pytorch_model.bin from yanqinJiang/mvdream-sd1.5-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/yanqinJiang/mvdream-sd1.5-diffusers/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://yanqinJiang/mvdream-sd1.5-diffusers@refs/pr/1/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/yanqinJiang/mvdream-sd1.5-diffusers/resolve/refs%2Fpr%2F1/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 45add363411a8ba3ecd25a4ec8468ff2c13ada76aea2d4a5f663ff9718b652f6
- Size of remote file:
- 335 MB
- SHA256:
- 11a6fc35e77a2d5696ae6a494f797f01b7ab97b08b5f8f2f17e19d0ef169b1ca
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