Instructions to use GraydientPlatformAPI/boomer2-try2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/boomer2-try2 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-try2", torch_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:
- a8dfd3bf2149ba97ed8195bfaf595202a9ec199841e73ce925e7cd702c9e88f8
- Size of remote file:
- 5.14 GB
- SHA256:
- 1a98dbc62587cc0146b22ecc9e8db09f1212da7468bc18b8c8dfd557308dbcbb
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