Instructions to use AxlMk2/P3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AxlMk2/P3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AxlMk2/P3", 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:
- bb9d0a2342889d4a188f1fce6ef1f3e6e744d73ab2a3a9282028fa01e7a6266a
- Size of remote file:
- 246 MB
- SHA256:
- 46a91428fbdbb6fccd65a7f0fd4872284f266957bfdbf521b3d60074304c2bd7
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