Instructions to use GraydientPlatformAPI/featureless with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/featureless 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/featureless", 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:
- 8d62097f585ca09bffba78bcefb24066a0186439dff142240d65c2ea6b45c62b
- Size of remote file:
- 246 MB
- SHA256:
- 30fef6bd251536a09cad323e58b1f30d2197750adef4316a59ab576a63064413
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