diff --git a/.gitattributes b/.gitattributes index a6344aac8c09253b3b630fb776ae94478aa0275b..94d0e4fc62cf6010d3ad95ad9a45b306d7d8ffa9 100644 --- a/.gitattributes +++ b/.gitattributes @@ -1,3 +1,5 @@ +*.png filter=lfs diff=lfs merge=lfs -text +*.jpg filter=lfs diff=lfs merge=lfs -text *.7z filter=lfs diff=lfs merge=lfs -text *.arrow filter=lfs diff=lfs merge=lfs -text *.bin filter=lfs diff=lfs merge=lfs -text diff --git a/README.md b/README.md new file mode 100644 index 0000000000000000000000000000000000000000..ac203f29b150fd7ac3212e5c0038b62ab485aecb --- /dev/null +++ b/README.md @@ -0,0 +1,250 @@ +--- +license: apache-2.0 +library_name: videox_fun +pipeline_tag: text-to-image +tags: +- lora +--- + +# Z-Image-Fun-Lora-Distill + +[![Github](https://img.shields.io/badge/🎬%20Code-VideoX_Fun-blue)](https://github.com/aigc-apps/VideoX-Fun) + + +## Model Card + +### a. 2603 Models + +| Name | Description | +|--|--| +| Z-Image-Fun-Lora-Distill-2-Steps-2603.safetensors | A Distill LoRA for Z-Image that distills both steps and CFG. It requires only 2 steps instead of 8. Due to the random timesteps strategy, it is better adapted to sigmas below 0.500. The recommended sigma for the second step is between 0.800 and 0.500. A larger LoRA strength is recommended. | +| Z-Image-Fun-Lora-Distill-2-Steps-2603-ComfyUI.safetensors | ComfyUI version of Z-Image-Fun-Lora-Distill-2-Steps-2603.safetensors | +| Z-Image-Fun-Lora-Distill-4-Steps-2603.safetensors | A Distill LoRA for Z-Image that distills both steps and CFG. It requires only 4 steps instead of 8 steps. Due to the addition of a random timesteps strategy, it is better adapted to cases where sigmas are less than 0.500. | +| Z-Image-Fun-Lora-Distill-4-Steps-2603-ComfyUI.safetensors | ComfyUI version of Z-Image-Fun-Lora-Distill-4-Steps-2603.safetensors | +| Z-Image-Fun-Lora-Distill-8-Steps-2603.safetensors | A Distill LoRA for Z-Image that distills both steps and CFG. Compared to Z-Image-Fun-Lora-Distill-8-Steps-2602.safetensors, due to the addition of a random timesteps strategy, it is better adapted to cases where sigmas are less than 0.500. | +| Z-Image-Fun-Lora-Distill-8-Steps-2603-ComfyUI.safetensors | ComfyUI version of Z-Image-Fun-Lora-Distill-8-Steps-2603.safetensors | + +### b. 2602 Models && Models Before 2602 + +| Name | Description | +|--|--| +| Z-Image-Fun-Lora-Distill-4-Steps-2602.safetensors | A Distill LoRA for Z-Image that distills both steps and CFG. Compared to Z-Image-Fun-Lora-Distill-8-Steps.safetensors, it requires only 4 steps instead of 8 steps, its colors are more consistent with the original model, and the skin texture is better. | +| Z-Image-Fun-Lora-Distill-4-Steps-2602-ComfyUI.safetensors | ComfyUI version of Z-Image-Fun-Lora-Distill-4-Steps-2602.safetensors | +| Z-Image-Fun-Lora-Distill-8-Steps-2602.safetensors | A Distill LoRA for Z-Image that distills both steps and CFG. Compared to Z-Image-Fun-Lora-Distill-8-Steps.safetensors, its colors are more consistent with the original model, and the skin texture is better. | +| Z-Image-Fun-Lora-Distill-8-Steps-2602-ComfyUI.safetensors | ComfyUI version of Z-Image-Fun-Lora-Distill-8-Steps-2602.safetensors | +| Z-Image-Fun-Lora-Distill-8-Steps.safetensors | This is a Distill LoRA for Z-Image that distills both steps and CFG. This model does not require CFG and uses 8 steps for inference. | + +## Model Features +- This is a Distill LoRA for Z-Image that distills both steps and CFG. It does not use any Z-Image-Turbo related weights and is trained from scratch. It is compatible with other Z-Image LoRAs and [Controls](https://huggingface.co/alibaba-pai/Z-Image-Fun-Controlnet-Union-2.1). +- This model will slightly reduce the output quality and change the output composition of the model. For specific comparisons, please refer to the Results section. +- The purpose of this model is to provide fast generation compatibility for Z-Image derivative models, not to replace Z-Image-Turbo. + +## Results +### The difference between the 2603 version model and the 2602 version model + +The 2602 model tends to produce blurry images with sigmas below 0.500, as the distillation model was not trained on certain steps. The 2603 model introduces a random timesteps strategy, making it better adapted to sigmas below 0.500. + +As shown below, when using kl_optimal, many sigmas fall below 0.500. The 2603 model handles these cases correctly, while the 2602 model does not. Note that although kl_optimal is used in the figure, we still recommend using the simple scheduler for inference. + + + + + + + + + + +
Z-Image-Fun-Lora-Distill-8-Steps-2602Z-Image-Fun-Lora-Distill-8-Steps-2603
+ + +### The difference between the 2602 version model and the previous model + + + + + + + + + + + + +
Z-Image-Fun-Lora-Distill-8-Steps-2602Z-Image-Fun-Lora-Distill-4-Steps-2602Z-Image-Fun-Lora-Distill-8-Steps
+ +### Work itself + + + + + + + + + + + + +
Output 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + +
Output 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + +
Output 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + +
Output 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ +### Work with Controlnet + + + + + + + + + + + + + + +
Pose + InpaintOutput 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + + + +
Pose + InpaintOutput 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + + + +
PoseOutput 25 stepsOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + + + +
CannyOutputOutput 8-Steps-2602Output 4-Steps-2602
+ + + + + + + + + + + + + + +
DepthOutputOutput 8-Steps-2602Output 4-Steps-2602
+ +## Inference +Go to the VideoX-Fun repository for more details. + +Please clone the VideoX-Fun repository and create the required directories: + +```sh +# Clone the code +git clone https://github.com/aigc-apps/VideoX-Fun.git + +# Enter VideoX-Fun's directory +cd VideoX-Fun + +# Create model directories +mkdir -p models/Diffusion_Transformer +mkdir -p models/Personalized_Model +``` + +Then download the weights into models/Diffusion_Transformer and models/Personalized_Model. + +``` +📦 models/ +├── 📂 Diffusion_Transformer/ +│ └── 📂 Z-Image/ +├── 📂 Personalized_Model/ +│ ├── 📦 Z-Image-Fun-Lora-Distill-4-Steps-2602.safetensors +│ ├── 📦 Z-Image-Fun-Lora-Distill-8-Steps-2602.safetensors +│ ├── 📦 Z-Image-Fun-Controlnet-Union-2.1.safetensors +│ └── 📦 Z-Image-Fun-Controlnet-Union-2.1-lite.safetensors +``` + +To run the model, **first** set the lora_path in `examples/z_image/predict_t2i.py` to: +`Personalized_Model/Z-Image-Fun-Lora-Distill-8-Steps.safetensors` + +**Then**, run the file: 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