Instructions to use hf-internal-testing/tiny-flux3-image-modular with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hf-internal-testing/tiny-flux3-image-modular with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hf-internal-testing/tiny-flux3-image-modular", 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/tokenizer.json from hf-internal-testing/tiny-flux3-image-modular: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/hf-internal-testing/tiny-flux3-image-modular/resolve/main/tokenizer/tokenizer.json
- Command line
-
hf download hf://hf-internal-testing/tiny-flux3-image-modular/tokenizer/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-flux3-image-modular/resolve/main/tokenizer/tokenizer.json
11.4 MB
- Xet hash:
- 1a71d4624e89520542c1aaa3b729e93f3455104d175135e3707cc04f3c460883
- Size of remote file:
- 11.4 MB
- SHA256:
- 8579e1ca7cc5d82a9e0202eed555529996f4ffe7f563c2979a0290cf3db452d3
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