Instructions to use GraydientPlatformAPI/boomer2-sdxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/boomer2-sdxl 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/boomer2-sdxl", 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:
- f3ec6938254b9433b4f87d84706f257a3badb531aca251e4a7279c4979ad005b
- Size of remote file:
- 246 MB
- SHA256:
- dd3ed5708ea2ea2d911ab9d3861c90cc27b256dd7f21ceb7c2c4c97e41b78c31
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