Instructions to use nukui/flux.1-fill-dev-OneRewardDynamic-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nukui/flux.1-fill-dev-OneRewardDynamic-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nukui/flux.1-fill-dev-OneRewardDynamic-diffusers", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Diffusion Single File
How to use nukui/flux.1-fill-dev-OneRewardDynamic-diffusers with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0cfc9765f5f617dcbaa886b9e48d46d8c06034fb8a47bc442e14d1057431736b
- Size of remote file:
- 335 MB
- SHA256:
- 8c717328c8ad41faab2ccfd52ae17332505c6833cf176aad56e7b58f2c4d4c94
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