Instructions to use Runware/FLUX.1-Redux-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/FLUX.1-Redux-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("Runware/FLUX.1-Redux-dev", 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 Runware/FLUX.1-Redux-dev 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:
- 3b45df100b0c35551bd17dd08d4d7af0da4ad4da2d111a84c76009be7bee80df
- Size of remote file:
- 129 MB
- SHA256:
- 02ace6d3b9dc6fa1ab77e6863151430a3ff128f0d0e378021ab9bcb7f2ed18f0
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