DiffuEraser | Video Inpainting

ComfyUI DiffuEraser Video Inpainting Workflow Description

What is the ComfyUI DiffuEraser Workflow?

DiffuEraser is a cutting-edge video inpainting solution that seamlessly removes unwanted objects from videos while preserving temporal consistency. Using a powerful diffusion-based inpainting model, DiffuEraser reconstructs missing areas with contextually accurate content. This workflow integrates with Segment Anything 2 (SAM2) for automatic mask generation, eliminating the need for manually created masks.

DiffuEraser utilizes a denoising UNet alongside an auxiliary BrushNet branch, integrating temporal attention to maintain frame consistency. By leveraging prior information, it reduces hallucinations and artifacts, ensuring flawless object removal.

The by Runcomfy Crew automates mask creation using a point-selection interface, enabling users to mark objects for removal without manually creating masks. This significantly streamlines the inpainting workflow.

Benefits of DiffuEraser Workflow

• High-quality reconstruction with natural scene blending.
• Automatic mask generation via SAM2, reducing manual effort.
• Temporal consistency for seamless inpainting across frames.
• Flexible object selection with a point-based interface.
• Professional-grade results with minimal user input.
• Suppressed hallucinations by leveraging prior information.
• Compatible with standard video formats for effortless integration.

How to Use DiffuEraser Workflow

Object Removal with DiffuEraser

Primary Generation Method: SAM2 + DiffuEraser

• Inputs: Original video, frames for object selection via point coordinates
• Best for: Removing objects, people, watermarks, or other unwanted elements
• Characteristics:
  • Uses SAM2 for automatic mask generation
  • Produces natural inpainting with high visual fidelity
  • Ensures temporal consistency across all frames

Example Workflow

1. Prepare inputs
   • In Load Video Node: Upload your source video
   • In Points Editor: Load first frame to add positive points (green) to mark objects for removal
2. Refinement (Optional)
   • In DiffuEraserSampler adjust mask_dilation_iter for precise masking
   • Modify crf in Video Combine for higher output quality
3. Output
   • In Video Combine: find the preview and save it to your local machine

Alternative Method: Manual Mask Creation

• Inputs: Pre-created mask video.
• Best for: Users needing precise control over masked regions.
• Characteristics:
  • Requires manual mask creation.
  • Offers full control over object selection.
  • Ideal for complex scenes or artistic workflows.

Parameter Reference for DiffuEraser

• DiffuEraserLoader:
  • checkpoint: [SD1.5/v1-5-pruned-emaonly.ckpt] - Stable Diffusion base model.
  • lora: [flux/flux.1-turbo-alpha/diffusion_pytorch_model.safetensors] - LoRA for enhanced inpainting.
• DiffuEraserSampler:
  • seed: [random] - Controls generation variability.
  • num_inference_steps: [2] - Higher values improve quality.
  • guidance_scale: [0] - Controls adherence to prior information.
  • video_length: [10] - Defines processed frames.
  • mask_dilation_iter: [8] - Expands mask coverage.
  • ref_stride: [10] - Reference frame stride for temporal consistency.
  • neighbor_length: [10] - Defines frames used for reference.
  • subvideo_length: [50] - Max frames processed in a batch.
  • seg_repo: [briaai/RMBG-2.0] - Background removal model.
• Video Combine:
  • frame_rate: [1] - Matches source frame rate.
  • format: [video/h264-mp4] - Output format.
  • crf: [19] - Controls video compression quality.

Advanced Optimization with DiffuEraser

• Performance Optimization:
  • Reduce subvideo_length for faster processing.
  • Lower num_inference_steps to speed up generation.
• Quality Enhancements:
  • Increase mask_dilation_iter to improve mask coverage.
  • Adjust neighbor_length for moving object refinements.

Usage Tips

1. Use Points Editor to mark multiple points on the target object.
2. Add negative points (red) if SAM2 includes unwanted areas.
3. For moving objects, mark points across several frames.
4. Simpler backgrounds yield better inpainting results.
5. Lower video_length and subvideo_length for longer videos to avoid memory issues.

More Information

• For detailed guides and updates on DiffuEraser, visit
• For ComfyUI integration of DiffuEraser, visit
• For detailed guides on SAM2, visit

Credit to Original Authors

DiffuEraser was created by Xiaowen Li, Haolan Xue, Peiran Ren, and Liefeng Bo from Tongyi Lab, Alibaba Group, with ComfyUI integration by smthemex. Runcomfy Crew enhanced the workflow with automatic mask generation via SAM2. All credit goes to the original authors for their groundbreaking contributions.