Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/cat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/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("KCS97/cat", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- c5d637227a845cd296b0b5c8de07b0c4f33a1664690074bfd2c0aa20d22c9741
- Size of remote file:
- 6.88 GB
- SHA256:
- 166495d3acdb842e12166f1406997b141b089a8d56c006fc5986c668ff6ae710
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