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Migration Kit Overview

Contact Me

PlatformDetails
QQ Group571587838
BilibiliHomepage
Civitaittplanet
WeChattangtuanzhuzhu

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

FeatureDescription
Consistent Clothing MigrationTransfer clothing styles across reference images with high accuracy.
Cartoon to Realism ConversionSeamlessly convert cartoon clothing to realistic styles and vice versa.
Creative Design ControlAdjust clothing similarity via weights to inspire creativity.

Image Examples:

Example 1Example 2

2. 3D Figure Kit

Model Download: 3D Figure LoRA

workflow Download: Figure workflow

FeatureDescription
3D ConversionTransform 2D character designs into 3D printable figurines.
Pose CustomizationAdjust poses, expressions, and other dynamic features to suit your design needs.
Material and Texture EnhancementsEnsure high fidelity in textures and details for professional-grade outputs.

Image Examples:

Placeholder 1Placeholder 2

Future Plans

TaskDetails
Transfer Distinct FeaturesImprove the migration of objects with unique attributes.
Complex Pattern HandlingDevelop models to manage intricate designs.
Face TransferImplement face style migrations.
3D EnhancementsIntroduce automated rigging and advanced pose control for 3D figures.
Community IdeasIncorporate suggestions and use cases shared by users.

How to Use

StepDetails
1. InstallInstall ComfyUI and required custom nodes.
2. DownloadObtain the models from the Hugging Face Project.
3. LoadLoad the selected model into ComfyUI.
4. WorkflowUse the provided workflow examples for your application.

Dependencies

NodeLink
TTP ToolsetComfyUI_TTP_Toolset
Tag NodeComfyUI_JC2
Alimama FluxAlimama_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.