Instructions to use stablediffusionapi/animerge with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animerge with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/animerge", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 52f6cb6b30c182992352ea0233e7cab65d1ad6879d85422f158c0a94d4a9b0c7
- Size of remote file:
- 246 MB
- SHA256:
- 302df85e5a666d75ef8bbb02ceaa1095cb773e900f48d7a7b73901f2c2b22116
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