Instructions to use HelloTestUser/FLUX.1-Redux-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloTestUser/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("HelloTestUser/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 HelloTestUser/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
File size: 295 Bytes
b36bebc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | {
"_class_name": "FluxPriorReduxPipeline",
"_diffusers_version": "0.32.0.dev0",
"feature_extractor": [
"transformers",
"SiglipImageProcessor"
],
"image_embedder": [
"flux",
"ReduxImageEncoder"
],
"image_encoder": [
"transformers",
"SiglipVisionModel"
]
}
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