Instructions to use noguchis/viewdiff_train_teddybear with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use noguchis/viewdiff_train_teddybear with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("noguchis/viewdiff_train_teddybear", torch_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
File size: 291 Bytes
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license: cc-by-nc-sa-4.0
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This model I have uploaded is checkpoint 1061000 for Teddy Bear (CO3D) trained using [ViewDiff](https://github.com/facebookresearch/ViewDiff).
Please see my article for details --> [Trying ViewDiff with WSL2...but](https://note.com/ngc_shj/n/n50f96770c0bf) |