Instructions to use Sohom2003/my-multi-view-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Sohom2003/my-multi-view-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Sohom2003/my-multi-view-diffusion", 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 .gitattributes from Sohom2003/my-multi-view-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 50 Bytes
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https://huggingface.co/Sohom2003/my-multi-view-diffusion/resolve/main/.gitattributes
- Command line
-
hf download hf://Sohom2003/my-multi-view-diffusion/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Sohom2003/my-multi-view-diffusion/resolve/main/.gitattributes
50 Bytes
| *.safetensors filter=lfs diff=lfs merge=lfs -text | |