Instructions to use GraydientPlatformAPI/animerge4-stablediffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/animerge4-stablediffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/animerge4-stablediffusion", 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:
- f20da53133237d05f9e729b6d6b208b99c8fd9f1ec09ad81a5f573c43e23867d
- Size of remote file:
- 1.72 GB
- SHA256:
- 6188f5b69906aa4aea523c9610cf5443f55d3b55f25cd724af55842e4699d4fa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.