Instructions to use wikeeyang/Flux1-Dev-DedistilledMixTuned-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wikeeyang/Flux1-Dev-DedistilledMixTuned-v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wikeeyang/Flux1-Dev-DedistilledMixTuned-v4", 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:
- f341302cc7aa166653e79436962398886a9da7a44a955dcb8534761e7fc146a8
- Size of remote file:
- 11.9 GB
- SHA256:
- 19e9e0f5a029b858f45cd6a8021800d4214499fb5f19620f8b20ffc6b1dd7607
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.