Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/cat2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/cat2 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/cat2", 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:
- 50c6f08580c9f4163b4861ead1859903f3b9177c13684c48e41625a85d2090c8
- Size of remote file:
- 6.88 GB
- SHA256:
- 75a0e82ae39206b39dec14d334c59659d3e7605817a00c264d0ff562fa9c04cb
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