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ComfyDeploy: How Clothing Migration Kit works in ComfyUI?

What is Clothing Migration Kit?

This is an experimental project focused on Stable Diffusion (SD) models. In a single generated image, the same object or character consistently maintains a very high level of consistency. I had already attempted to address this issue in the SDXL model.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for Clothing Migration Kit and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

Migration Kit Overview

Contact Me

| Platform | Details | |---------------|-------------------------------------------------------------------------| | QQ Group | 571587838 | | Bilibili | Homepage | | Civitai | ttplanet | | WeChat | tangtuanzhuzhu |

Project Introduction

This experimental project focuses on leveraging Stable Diffusion (SD) models for high-consistency object and character rendering. The methodology integrates advanced workflows such as ControlNet, DIT model, and latent-guided processes for superior control and consistency.

Modules

1. Clothing Migration Kit

Model Download: Clothing Migration LoRA

workflow Download: Cloth workflow

| Feature | Description | |---------------------------------|-----------------------------------------------------------------------------| | Consistent Clothing Migration | Transfer clothing styles across reference images with high accuracy. | | Cartoon to Realism Conversion | Seamlessly convert cartoon clothing to realistic styles and vice versa. | | Creative Design Control | Adjust clothing similarity via weights to inspire creativity. |

Image Examples:

| Example 1 | Example 2 |
|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|

2. 3D Figure Kit

Model Download: 3D Figure LoRA

workflow Download: Figure workflow

| Feature | Description | |----------------------------------|---------------------------------------------------------------------------------| | 3D Conversion | Transform 2D character designs into 3D printable figurines. | | Pose Customization | Adjust poses, expressions, and other dynamic features to suit your design needs.| | Material and Texture Enhancements | Ensure high fidelity in textures and details for professional-grade outputs. |

Image Examples:

| Placeholder 1 | Placeholder 2 |
|------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|

Future Plans

| Task | Details | |--------------------------------|-------------------------------------------------------| | Transfer Distinct Features | Improve the migration of objects with unique attributes.| | Complex Pattern Handling | Develop models to manage intricate designs. | | Face Transfer | Implement face style migrations. | | 3D Enhancements | Introduce automated rigging and advanced pose control for 3D figures. | | Community Ideas | Incorporate suggestions and use cases shared by users. |

How to Use

| Step | Details | |----------------|----------------------------------------------------------------------------------------------| | 1. Install | Install ComfyUI and required custom nodes. | | 2. Download | Obtain the models from the Hugging Face Project. | | 3. Load | Load the selected model into ComfyUI. | | 4. Workflow | Use the provided workflow examples for your application. |

Dependencies

| Node | Link | |-----------------|------------------------------------------------------------------------------------------| | TTP Toolset | ComfyUI_TTP_Toolset | | Tag Node | ComfyUI_JC2 | | Alimama Flux| Alimama_flux_inpaint |

Note: Ensure sufficient VRAM for high-complexity workflows. Use optimization tools like FluxExt-MZ if needed.

Contribute

Contributions and suggestions are welcome! Open an issue or submit a pull request with your ideas.