Instructions to use GraydientPlatformAPI/fstmix1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/fstmix1 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/fstmix1", 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:
- ab855f4a38559166090d00e139bb47e01706dc53fb7af9f40928bd3a796d89e0
- Size of remote file:
- 1.72 GB
- SHA256:
- 85ac6603110ae0ef8ad64fd80b1af6f37d69ef9e7a0e5dc8b3e9e519149e0b83
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