Instructions to use stablediffusionapi/animemixv6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animemixv6 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/animemixv6", 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:
- ec632d0e9e2290cdbd0103badca7726b0fdbe9c52ee23e366da10e8d8a780bab
- Size of remote file:
- 167 MB
- SHA256:
- 1af45cc95a2a79e11e2c3ccc9479eede9087590f331ef52702b308140827e3ee
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