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
- Draw Things
- DiffusionBee
- Xet hash:
- 40bf7f8160b15bca4f5885afeca40646a14ba61133b1e1967bfce36e27d0ff29
- Size of remote file:
- 246 MB
- SHA256:
- 5e90132281f1820df2cb774778edccf4e7b09364e70729f019c2d57fd8c6fa20
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