Instructions to use GraydientPlatformAPI/boomerxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/boomerxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/boomerxl", 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:
- 1cb6f47681f8c144db5365d6c0732ace79f12a1dbedd26666c0b751c97f317f0
- Size of remote file:
- 2.78 GB
- SHA256:
- 70417c3a146fcb03c2fbffb42314a626866be60ada0aec5969b7d9c15c456806
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