Instructions to use GraydientPlatformAPI/tfam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/tfam 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/tfam", 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:
- ff2bfebbd7877fcda9ad96f2794cb7a94d8efa02e5d02d8992756235ec42a1ba
- Size of remote file:
- 246 MB
- SHA256:
- 323b9bb3f0fa5348ac08d012595a15e60f604e3bde6c0ec0dd6957d65e3f2838
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