Image-to-Image
Diffusers
Safetensors
Diffusion Single File
English
FluxKontextPipeline
image-generation
flux
Instructions to use HelloTestUser/FLUX.1-Kontext-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HelloTestUser/FLUX.1-Kontext-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("HelloTestUser/FLUX.1-Kontext-dev", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Diffusion Single File
How to use HelloTestUser/FLUX.1-Kontext-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
Update README.md
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README.md
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## API Endpoints
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The FLUX.1 Kontext models are also available via API from the following sources
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- bfl.ai: https://docs.bfl.ai/
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- DataCrunch: https://datacrunch.io/flux-kontext
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- fal: https://fal.ai/flux-kontext
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- Replicate: https://replicate.com/blog/flux-kontext
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- https://replicate.com/black-forest-labs/flux-kontext-dev
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## API Endpoints
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The FLUX.1 Kontext models are also available via API from the following sources
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- bfl.ai: https://docs.bfl.ai/
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- DataCrunch: https://datacrunch.io/managed-endpoints/flux-kontext
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- fal: https://fal.ai/flux-kontext
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- Replicate: https://replicate.com/blog/flux-kontext
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- https://replicate.com/black-forest-labs/flux-kontext-dev
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