Instructions to use herb786/Flux2-chiquito-9B-transformer-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use herb786/Flux2-chiquito-9B-transformer-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("herb786/Flux2-chiquito-9B-transformer-int8", 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 diffusion_pytorch_model.bin from herb786/Flux2-chiquito-9B-transformer-int8: direct link, hf CLI and curl.
- Browser
- Download file 9.09 GB
-
https://huggingface.co/herb786/Flux2-chiquito-9B-transformer-int8/resolve/main/diffusion_pytorch_model.bin
- Command line
-
hf download hf://herb786/Flux2-chiquito-9B-transformer-int8/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/herb786/Flux2-chiquito-9B-transformer-int8/resolve/main/diffusion_pytorch_model.bin
9.09 GB
- Xet hash:
- af1914adce45fc9e38d8e34dec731629c9f62f67255e79efca4d56407cc57685
- Size of remote file:
- 9.09 GB
- SHA256:
- 6bc30f49ac5e49c29a11b18761f235c37d123c3a2fe28861792cb6689325afa4
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