Instructions to use AxlMk2/proSDXLV7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AxlMk2/proSDXLV7 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/proSDXLV7", 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:
- b5ccddd074cd4ebdbd024c98c209980f8040f00cacf2bfd0932a065c9e8bd448
- Size of remote file:
- 9.99 GB
- SHA256:
- 489818ef2dfa3dc81836b5fe86c57169ace9a5c0a1d7428138ae9c93eabeb830
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