Instructions to use AxlMk2/PPEM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AxlMk2/PPEM 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/PPEM", 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:
- acbedfedf4a4ced7a80f1afb272dfc0f762cfe0d92690a75c2b130ec2dc09214
- Size of remote file:
- 1.39 GB
- SHA256:
- 813d3372d6ae503796c93ca0f563f037d2b252f9294f847d599ca6c45fe3300f
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