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README.md
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---
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# Templates-Super-Resolution (FLUX.2-klein-base-4B)
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This model is
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## Results
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pipe,
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prompt="A cat is sitting on a stone.",
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seed=0, cfg_scale=4, num_inference_steps=50,
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template_inputs
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"image": Image.open("data/examples/templates/image_lowres_512.jpg"),
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"prompt": "A cat is sitting on a stone.",
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}],
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negative_template_inputs
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"image": Image.open("data/examples/templates/image_lowres_512.jpg"),
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"prompt": "",
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}],
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pipe,
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prompt="A cat is sitting on a stone.",
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seed=0, cfg_scale=4, num_inference_steps=50,
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template_inputs
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"image": Image.open("data/examples/templates/image_lowres_100.jpg"),
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"prompt": "A cat is sitting on a stone.",
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}],
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negative_template_inputs
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"image": Image.open("data/examples/templates/image_lowres_100.jpg"),
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"prompt": "",
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}],
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```
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## Training
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After installing DiffSynth-Studio, use the following script to start training. For more information, please refer to the [DiffSynth-Studio Documentation](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/).
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---
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# Templates-Super-Resolution (FLUX.2-klein-base-4B)
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This model is part of the open-source Diffusion Templates series by [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio). Specifically designed for image super-resolution, it takes low-resolution input images and redraws them with rich high-definition details while preserving the original composition and semantics.
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## Results
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pipe,
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prompt="A cat is sitting on a stone.",
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seed=0, cfg_scale=4, num_inference_steps=50,
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template_inputs=[{
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"image": Image.open("data/examples/templates/image_lowres_512.jpg"),
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"prompt": "A cat is sitting on a stone.",
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}],
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negative_template_inputs=[{
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"image": Image.open("data/examples/templates/image_lowres_512.jpg"),
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"prompt": "",
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}],
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pipe,
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prompt="A cat is sitting on a stone.",
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seed=0, cfg_scale=4, num_inference_steps=50,
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template_inputs=[{
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"image": Image.open("data/examples/templates/image_lowres_100.jpg"),
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"prompt": "A cat is sitting on a stone.",
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}],
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negative_template_inputs=[{
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"image": Image.open("data/examples/templates/image_lowres_100.jpg"),
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"prompt": "",
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}],
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```
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## Training Script
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After installing DiffSynth-Studio, use the following script to start training. For more information, please refer to the [DiffSynth-Studio Documentation](https://diffsynth-studio-doc.readthedocs.io/zh-cn/latest/).
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