Instructions to use edgetensor/max-schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use edgetensor/max-schnell with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("edgetensor/max-schnell", 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:
- 353e96abe33570b7429b6ea2d7e052b85d405be9def7faf41f6f8acedfd6cabd
- Size of remote file:
- 4.93 MB
- SHA256:
- 9365e0cb6a8fbfe50551099a5f511b94b351a737b54441378cd2828329924a51
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