Instructions to use kontext-community/relighting-kontext-dev-lora-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kontext-community/relighting-kontext-dev-lora-v3 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("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kontext-community/relighting-kontext-dev-lora-v3") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
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README.md
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-Kontext-dev
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instance_prompt:
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license: other
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---
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# relighting kontext dev lora v3
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## Training at fal.ai
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Training was done using [fal.ai/models/fal-ai/flux-kontext-trainer](https://fal.ai/models/fal-ai/flux-kontext-trainer).
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-Kontext-dev
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license: other
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pipeline_tag: image-to-image
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---
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# relighting kontext dev lora v3
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## Training at fal.ai
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Training was done using [fal.ai/models/fal-ai/flux-kontext-trainer](https://fal.ai/models/fal-ai/flux-kontext-trainer).
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