Instructions to use GraydientPlatformAPI/cat-citron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/cat-citron with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/cat-citron", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/model.safetensors from GraydientPlatformAPI/cat-citron: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/GraydientPlatformAPI/cat-citron/resolve/main/text_encoder/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/cat-citron/text_encoder/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/cat-citron/resolve/main/text_encoder/model.safetensors
246 MB
- Xet hash:
- e4443849c7c3a9e550f7cb67ec7712c5bcc0f3fee8efd96d51cbe7dee5e9a3eb
- Size of remote file:
- 246 MB
- SHA256:
- 309d8d3e66bec37a10d4a203f6732439dd47bac227a9ab4d6e63ecaa8946b75a
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