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:
- cfde1de8554bce9d9821f47902f5a0e77af0dbb77e71090e92f9d936d636c9b9
- Size of remote file:
- 1.72 GB
- SHA256:
- 80b71a2406d7637e7c6f7bcd7793b3d32754512bdd3e90a183006eaedab10240
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