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--- |
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base_model: MusePublic/FLUX.1-Kontext-Dev@v1 |
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cover_images: |
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- _cover_images_/26_blingbling.jpg |
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- _cover_images_/9_blingbling.jpg |
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- _cover_images_/6_blingbling.jpg |
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- _cover_images_/12_blingbling.jpg |
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- _cover_images_/15_blingbling.jpg |
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- _cover_images_/5_blingbling.jpg |
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- _cover_images_/11_blingbling.jpg |
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frameworks: |
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- Pytorch |
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license: Apache License 2.0 |
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tags: |
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- LoRA |
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- text-to-image |
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tasks: |
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- text-to-image-synthesis |
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vision_foundation: FLUX_1 |
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--- |
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# 玻璃雕像 - Kontext 图像编辑 LoRA |
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## 模型介绍 |
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本 LoRA 模型是基于 [Kontext](https://www.modelscope.cn/models/black-forest-labs/FLUX.1-Kontext-dev) 模型和 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio) 训练的 LoRA 模型,使用本模型后,可输入指令 `Transform into a glass sculpture.` 将画面中的主体内容转换为晶莹的玻璃雕像。 |
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## 模型效果 |
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||样例 1|样例 2|样例 3| |
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|原图|||| |
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|生成图|||| |
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||样例 4|样例 5|样例 6| |
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|原图|||| |
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|生成图|||| |
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## 使用说明 |
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本模型基于框架 [DiffSynth-Studio](https://github.com/modelscope/DiffSynth-Studio/tree/main/examples/flux) 训练,请先安装 |
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``` |
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git clone https://github.com/modelscope/DiffSynth-Studio.git |
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cd DiffSynth-Studio |
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pip install -e . |
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``` |
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```python |
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import torch |
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from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig |
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from PIL import Image |
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from modelscope import snapshot_download |
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snapshot_download("DiffSynth-Studio/FLUX.1-Kontext-dev-lora-blingbling", cache_dir="./models") |
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pipe = FluxImagePipeline.from_pretrained( |
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torch_dtype=torch.bfloat16, |
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device="cuda", |
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model_configs=[ |
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ModelConfig(model_id="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-dev.safetensors"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"), |
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"), |
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], |
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) |
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pipe.load_lora(pipe.dit, "models/DiffSynth-Studio/FLUX.1-Kontext-dev-lora-blingbling/model.safetensors", alpha=1) |
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image = Image.open("your_image.jpg") |
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image = pipe( |
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prompt="Transform into a glass sculpture.", |
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kontext_images=image, |
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embedded_guidance=2.5, |
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seed=0, |
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) |
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image.save("output.jpg") |
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``` |