Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Safetensors
stable-diffusion
stable-diffusion-diffusers
Instructions to use sam749/Western-Animation-Diffusion-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sam749/Western-Animation-Diffusion-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sam749/Western-Animation-Diffusion-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 7bd07355fafbb6dc4495b0769847b915365e52a13df1dfab022dfe0ab35fdec3
- Size of remote file:
- 492 MB
- SHA256:
- 21b06d0dd2f8e4ccb77b5f625ccb111f18800b66c854e9fee2f1381430c62290
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.