Instructions to use lzq49/mvdream-sd21-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lzq49/mvdream-sd21-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("lzq49/mvdream-sd21-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 camera_proj/diffusion_pytorch_model.bin from lzq49/mvdream-sd21-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 6.65 MB
-
https://huggingface.co/lzq49/mvdream-sd21-diffusers/resolve/refs%2Fpr%2F1/camera_proj/diffusion_pytorch_model.bin
- Command line
-
hf download hf://lzq49/mvdream-sd21-diffusers@refs/pr/1/camera_proj/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/lzq49/mvdream-sd21-diffusers/resolve/refs%2Fpr%2F1/camera_proj/diffusion_pytorch_model.bin
6.65 MB
- Xet hash:
- e5be613118755a4c64682198e3b429551675f363f8f2aabcf2c88f56ab14c5c2
- Size of remote file:
- 6.65 MB
- SHA256:
- 9e170ac93a1af031de21d0060331c79bb3ecef61b6a3326b67be2ae00099ab8c
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