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
Download vae/diffusion_pytorch_model.safetensors from GraydientPlatformAPI/fstmix1: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/GraydientPlatformAPI/fstmix1/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/fstmix1/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/GraydientPlatformAPI/fstmix1/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- 7aa32ce48cef912c6c0fe1c9b37b19b6fa31eaf5e72ce85c1f4037d1ff22779b
- Size of remote file:
- 167 MB
- SHA256:
- 563d469b326b42e3d5f0319401ecd4b1440398956749c31cb4cb6a9e12d7e441
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