Instructions to use enryu43/anifusion_sd_unet_768 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use enryu43/anifusion_sd_unet_768 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("enryu43/anifusion_sd_unet_768", 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
- Xet hash:
- 7fa1f252713fbfd2bbb73159ee2b9e83bd98ed4e3d056b0d66847de0a660a205
- Size of remote file:
- 604 MB
- SHA256:
- 15c7f4bd89935cfba25f537d0ca4c6117bd9c5d4ea0adb57b857686c76d36206
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