Instructions to use GraydientPlatformAPI/ras-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/ras-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/ras-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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 6ea524224ef0882c7b10e1dfcf6570b212f0e3e642509af7ff030d55950fe763
- Size of remote file:
- 246 MB
- SHA256:
- 698980efbde334050844ea4eeaa6947b91482c1d415624dd8001437b12864973
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