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README.md

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+---
+license: apache-2.0
+---
+# AttriCtrl Numerical Image Generation Control Model
+
+## Introduction
+
+AttriCtrl enables fine-grained control of numerical image attributes during image generation.
+
+For more details, please refer to our paper: [AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models](https://arxiv.org/abs/2508.02151)
+
+## Result Demonstration
+
+### Brightness
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/brightness/value_control_0.1.jpg)|![](./assets/brightness/value_control_0.3.jpg)|![](./assets/brightness/value_control_0.5.jpg)|![](./assets/brightness/value_control_0.7.jpg)|![](./assets/brightness/value_control_0.9.jpg)|
+
+### Detail
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/detail/value_control_0.1.jpg)|![](./assets/detail/value_control_0.3.jpg)|![](./assets/detail/value_control_0.5.jpg)|![](./assets/detail/value_control_0.7.jpg)|![](./assets/detail/value_control_0.9.jpg)|
+
+### Realism
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/realism/value_control_0.1.jpg)|![](./assets/realism/value_control_0.3.jpg)|![](./assets/realism/value_control_0.5.jpg)|![](./assets/realism/value_control_0.7.jpg)|![](./assets/realism/value_control_0.9.jpg)|
+
+## Inference Code
+
+```shell
+git clone https://github.com/modelscope/DiffSynth-Studio.git  
+cd DiffSynth-Studio
+pip install -e .
+```
+
+```python
+import torch
+from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
+```
+
+```python
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
+        ModelConfig(model_id="DiffSynth-Studio/AttriCtrl-FLUX.1-Dev", origin_file_pattern="models/detail.safetensors")
+    ],
+)
+
+for i in [0.1, 0.3, 0.5, 0.7, 0.9]:
+    image = pipe(prompt="a cat on the beach", seed=2, value_controller_inputs=[i])
+    image.save(f"value_control_{i}.jpg")
+```

README_from_modelscope.md

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+---
+frameworks:
+- Pytorch
+license: Apache License 2.0
+tasks:
+- text-to-image-synthesis
+
+#model-type:
+##如 gpt、phi、llama、chatglm、baichuan 等
+#- gpt
+
+#domain:
+##如 nlp、cv、audio、multi-modal
+#- nlp
+
+#language:
+##语言代码列表 https://help.aliyun.com/document_detail/215387.html?spm=a2c4g.11186623.0.0.9f8d7467kni6Aa
+#- cn 
+
+#metrics:
+##如 CIDEr、Blue、ROUGE 等
+#- CIDEr
+
+#tags:
+##各种自定义，包括 pretrained、fine-tuned、instruction-tuned、RL-tuned 等训练方法和其他
+#- pretrained
+
+#tools:
+##如 vllm、fastchat、llamacpp、AdaSeq 等
+#- vllm
+---
+# AttriCtrl 数值型生图控制模型
+
+## 简介
+
+AttriCtrl 可以实现数值型图像指标的生图控制。
+
+更多细节请参考我们的论文: [AttriCtrl: Fine-Grained Control of Aesthetic Attribute Intensity in Diffusion Models](https://arxiv.org/abs/2508.02151)
+
+## 效果展示
+
+### 亮度（Brightness）
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/brightness/value_control_0.1.jpg)|![](./assets/brightness/value_control_0.3.jpg)|![](./assets/brightness/value_control_0.5.jpg)|![](./assets/brightness/value_control_0.7.jpg)|![](./assets/brightness/value_control_0.9.jpg)|
+
+### 细节（Detail）
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/detail/value_control_0.1.jpg)|![](./assets/detail/value_control_0.3.jpg)|![](./assets/detail/value_control_0.5.jpg)|![](./assets/detail/value_control_0.7.jpg)|![](./assets/detail/value_control_0.9.jpg)|
+
+### 摄影感（Realism）
+
+|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
+|-|-|-|-|-|
+|![](./assets/realism/value_control_0.1.jpg)|![](./assets/realism/value_control_0.3.jpg)|![](./assets/realism/value_control_0.5.jpg)|![](./assets/realism/value_control_0.7.jpg)|![](./assets/realism/value_control_0.9.jpg)|
+
+## 推理代码
+
+```shell
+git clone https://github.com/modelscope/DiffSynth-Studio.git  
+cd DiffSynth-Studio
+pip install -e .
+```
+
+```python
+import torch
+from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
+
+
+pipe = FluxImagePipeline.from_pretrained(
+    torch_dtype=torch.bfloat16,
+    device="cuda",
+    model_configs=[
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
+        ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
+        ModelConfig(model_id="DiffSynth-Studio/AttriCtrl-FLUX.1-Dev", origin_file_pattern="models/detail.safetensors")
+    ],
+)
+
+for i in [0.1, 0.3, 0.5, 0.7, 0.9]:
+    image = pipe(prompt="a cat on the beach", seed=2, value_controller_inputs=[i])
+    image.save(f"value_control_{i}.jpg")
+```

configuration.json

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+{"framework":"Pytorch","task":"text-to-image-synthesis"}

models/brightness.safetensors

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models/realism.safetensors

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