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:
- 7aa32ce48cef912c6c0fe1c9b37b19b6fa31eaf5e72ce85c1f4037d1ff22779b
- Size of remote file:
- 167 MB
- SHA256:
- 563d469b326b42e3d5f0319401ecd4b1440398956749c31cb4cb6a9e12d7e441
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.