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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ddf059872a7c6bb8fd685cb76ef707fc8a3922547dc7d80bb262286aa97b3c85
- Size of remote file:
- 2.13 GB
- SHA256:
- ad2d9d148140cbc4f5a6fc7f92dc454baeb2bc3bcb5e5180630dcc14a4579cf4
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