Instructions to use Vidit01/cat-gen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vidit01/cat-gen with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vidit01/cat-gen", 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 checkpoint.pt from Vidit01/cat-gen: direct link, hf CLI and curl.
- Browser
- Download file 8.59 GB
-
https://huggingface.co/Vidit01/cat-gen/resolve/main/checkpoint.pt
- Command line
-
hf download hf://Vidit01/cat-gen/checkpoint.pt
-
curl -L -o checkpoint.pt https://huggingface.co/Vidit01/cat-gen/resolve/main/checkpoint.pt
8.59 GB
- Xet hash:
- bef68c311ab55488fe22e82fb6ab8c4b24b1ad8e1eaa0a0239fbe25fef237541
- Size of remote file:
- 8.59 GB
- SHA256:
- c8d22b273c8fb4739965af2cadf2b4129c538acc09c224b7a962ca5b2b1ac19c
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