From Cartoons to Reality: A Step-by-Step Workflow Using ComfyUI
Turning vibrant cartoon-style images into photorealistic renditions has long been a challenge for AI enthusiasts. With the increasing sophistication of tools like ComfyUI, creating realistic photos from cartoon art is no longer just a dream. In this post, I’ll share my published workflow for transforming cartoon images into lifelike photographs using ComfyUI.
Overview of the Workflow
The process involves four major stages:
- Preprocessing: Preparing and enhancing the input cartoon image for optimal results.
- Initial Generation: Generating a base real-style image while preserving critical features.
- Refinement and Realism Enhancement: Applying advanced AI tools to enhance realism.
- Upscaling and Detailing: Polishing the final image with high-resolution output and facial detailing.
Each stage integrates state-of-the-art AI models and fine-tuned settings, ensuring the output looks as natural as possible.
Breaking Down the Workflow
1. Preprocessing
The workflow begins by preparing the cartoon image:
- Removing Watermarks: The inpainting preprocessor cleans unwanted artifacts or watermarks.
- Line Art Extraction: The LineArt Preprocessor highlights key features of the cartoon while discarding unnecessary elements, setting a solid foundation for the next steps.
2. Initial Generation
In this stage:
- ControlNet and Checkpoint Models: ControlNet ensures structural consistency, while specialized checkpoints like
epicdream_lullaby.safetensorsguide the image style toward realism. - Text Guidance: Prompts describing the desired output (e.g., “realistic lighting, a skinny guy with detailed abs”) steer the generation process.
3. Refinement with Advanced Tools
This stage converts the base image into something truly lifelike:
- VAE Encoding and Decoding: Variational Autoencoders help in translating latent features into more photorealistic renderings.
- Face Detailing: The FaceDetailer ensures all facial elements are proportional and realistic. Combined with tools like ReActorRestoreFace, subtle imperfections are corrected for a natural look.
4. Upscaling and Detailing
- Ultimate SD Upscale: Models like
ESRGAN_4x.pthenhance the resolution without losing detail. - Final Touches: Outputs are split into multiple versions—one with face detailing and one without—for comparison. These can also be further upscaled for ultra-high resolution results.
Key Tools and Models
- ControlNet: Ensures structural integrity and aligns outputs with the source image.
- VAE and CLIP Models: Translate latent features into detailed images.
- ESRGAN: State-of-the-art upscaling model for crisp, high-resolution results.
- Face Detailer: Polishes facial features for ultimate realism.
Sample Outputs
- Before: Cartoon image of a straw-hatted figure.
- After: A lifelike photo of an Asian individual with detailed skin, realistic lighting, and vibrant colors.
Why This Workflow?
This method stands out because it combines artistic flexibility with technological precision. The modular nature of ComfyUI means each step is adjustable, giving creators control over the final look.
Conclusion
If you’re fascinated by turning cartoon art into photorealistic images, this workflow will provide everything you need. Feel free to experiment with different models and prompts to achieve your ideal results.