Instructions to use AxlMk2/EFV11.2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AxlMk2/EFV11.2 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/EFV11.2", 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:
- a6b019dfac57bf66929b6d0e82f58f8badb74de78d43141ca326bca2b02b6671
- Size of remote file:
- 492 MB
- SHA256:
- a98d1bdf8d612c2b5cf10763539477399283f0797bae45febe2e692ce4a5c576
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