Instructions to use marianaas8/MultiviewDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use marianaas8/MultiviewDiffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("marianaas8/MultiviewDiffusion", 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
Commit History
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Add UNet weights as safetensors
d98412e -
Remove old .bin VAE weights in favor of safetensors
fd2435a -
Add VAE weights in safetensors
db92ebf -
Fix LFS tracking: remove stray model.safetensors, keep correct files
d170eb1 -
Add image encoder safetensors
22b66f5 -
Merge branch 'main' of https://huggingface.co/marianaas8/MultiviewDiffusion
abdb2ae -
Move image encoder weights to root for pipeline loading
6087533 -
Delete image_encoder/pytorch_model.bin
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Use original safetensors for image encoder
f9d8063 -
Add/rename image encoder weights
798d65a -
Rename UNet weights for Diffusers compatibility
eae56a7 -
Upload full model files
e71f61c -
initial commit
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