Instructions to use pduncan/flux-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pduncan/flux-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pduncan/flux-dev", 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
Download tokenizer_2/tokenizer.json from pduncan/flux-dev: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/pduncan/flux-dev/resolve/main/tokenizer_2/tokenizer.json
- Command line
-
hf download hf://pduncan/flux-dev/tokenizer_2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pduncan/flux-dev/resolve/main/tokenizer_2/tokenizer.json
2.42 MB
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