Instructions to use tlennon-ie/QwenEdit2509-FlatLogColor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tlennon-ie/QwenEdit2509-FlatLogColor 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("Qwen/Qwen-Image-Edit-2509", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tlennon-ie/QwenEdit2509-FlatLogColor") prompt = "flatcolor Desaturate the image and lower the contrast to create a flat, ungraded look similar to a camera's log profile. Preserve details in the highlights and shadows." 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
Update README.md
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README.md
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- image-to-image
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- qwen
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widget:
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prompt: "flatcolor Desaturate the image and lower the contrast to create a flat, ungraded look similar to a camera's log profile. Preserve details in the highlights and shadows."
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output:
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url: "images/1_target.jpg"
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- image-to-image
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- qwen
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widget:
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- src: "images/1.jpg"
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example_title: "Example 1"
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prompt: "flatcolor Desaturate the image and lower the contrast to create a flat, ungraded look similar to a camera's log profile. Preserve details in the highlights and shadows."
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output:
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url: "images/1_target.jpg"
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