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:
- d7a2a175dccf0c89627435956de8de5501edf8a12cea578f60b2c10e84ee56f0
- Size of remote file:
- 6.88 GB
- SHA256:
- 232d8d9b70ac4537fa7fadb4a655827be67f5971aa6b0a4f44c618443674db43
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