Instructions to use stablediffusionapi/animemix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animemix 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/animemix", 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:
- 173419036f478ca20e0975ba231bd45ba77138f040aac0a5e2ea46cf802b1149
- Size of remote file:
- 246 MB
- SHA256:
- 33a810f0a984abc2444943d959a431d826381d1ba0e83b4075549a535414f27d
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