Text-to-Image
Diffusers
PyTorch
Chinese
English
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use tilake/loulou-cat-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tilake/loulou-cat-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tilake/loulou-cat-diffusion", dtype=torch.bfloat16, device_map="cuda") prompt = "the cat called loulou, with snow in the background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- fa4ed6bb8570465a35a697d1ebe3b6a8cf19e5f972bb2b785a5240fea733afc5
- Size of remote file:
- 246 MB
- SHA256:
- 196664b0a9580e198b864c209bc2f86a40a25c2d8689fc39e0663890b53db244
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