Text-to-Image
Diffusers
TensorBoard
Safetensors
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use SidXXD/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/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("SidXXD/cat", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/cat: direct link, hf CLI and curl.
- Browser
- Download file 102 MB
-
https://huggingface.co/SidXXD/cat/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/cat/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/cat/resolve/main/pytorch_custom_diffusion_weights.bin
102 MB
- Xet hash:
- f6deeb687625afa23f5e57c6e152f95cfa967845c40db68392f0b37d27d66053
- Size of remote file:
- 102 MB
- SHA256:
- 16bb582719c7e10b41cb614c4a52a936a238c83e1ce1143db98dbf1be3fbfe16
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