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
- Xet hash:
- 027d4746abb7b96f118048fbb66b47ea58e804340c7384a0241df8fb93c38e49
- Size of remote file:
- 59.5 MB
- SHA256:
- 7081d89f3de9dbb578d2361502d61044a25910978ca545c29b548617a3bf2754
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