Instructions to use DevoidSloth/apix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DevoidSloth/apix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DevoidSloth/apix", 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:
- 1628913e55c5628689f9c3d9df4362a1ca7fb6802d7253888ad930adac598901
- Size of remote file:
- 2.13 GB
- SHA256:
- d576158bf1ce4d7644d0377a069d1c9aaf185addc39602eeff34de8f05250a69
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