Instructions to use hhf1/xiaobai_cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hhf1/xiaobai_cat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hhf1/xiaobai_cat", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <new1> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from hhf1/xiaobai_cat: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/hhf1/xiaobai_cat/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://hhf1/xiaobai_cat/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/hhf1/xiaobai_cat/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- f662965dc4bb2669cf7e8e4111b0ef266d047d9ff9153b69fce176e09aec61d6
- Size of remote file:
- 76.7 MB
- SHA256:
- 95f51d9d98727c3dad04eab46170a8c69909b3cfabd0f67d0a34e51eb154fe87
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