Instructions to use GraydientPlatformAPI/flashback-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/flashback-xl 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/flashback-xl", 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:
- fdd7424ed7d6a86178035e9c8c90103b3ae66233d74c9cf7ac418bdf58ff66e0
- Size of remote file:
- 246 MB
- SHA256:
- 631b7db0590cc61d4c5909d8f04107244ed90d127996e3c7f48baf2bedd78960
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