File size: 2,925 Bytes
334a6cc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 |
---
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|
|-|-|-|-|-|
||||||
### 细节（Detail）
|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
|-|-|-|-|-|
||||||
### 摄影感（Realism）
|scale = 0.1|scale = 0.3|scale = 0.5|scale = 0.7|scale = 0.9|
|-|-|-|-|-|
||||||
## 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")
```
|