Image to Image Video With Alpha Layer (WEBM format, wan2.2) — v1.0

Required Models

All models are from Comfy-Org/Wan_2.2_ComfyUI_Repackaged on HuggingFace.

| File | Destination folder |

|------|--------------------|

| wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors | ComfyUI/models/diffusion_models/ |

| wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors | ComfyUI/models/diffusion_models/ |

| wan2.2_i2v_lightx2v_4steps_lora_v1_high_noise.safetensors | ComfyUI/models/loras/wan/ |

| wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors | ComfyUI/models/loras/wan/ |

| umt5_xxl_fp8_e4m3fn_scaled.safetensors | ComfyUI/models/text_encoders/ |

| wan_2.1_vae.safetensors | ComfyUI/models/vae/ |

The workflow will show download buttons for missing models directly in ComfyUI.

Custom Node Setup

Two custom node packages are required.

1. wan_alpha_nodes (this repo)

Provides the SaveWebmWithAlpha node used to export the final video.

Copy the two files from this repo into ComfyUI:

ComfyUI/custom_nodes/wan_alpha_nodes/

├── wan_alpha_ nodes.py

└── init .py

2. ComfyUI-rembg

Provides the RembgBackgroundRemover node used for AI background removal. Install it via ComfyUI Manager or clone it into ComfyUI/custom_nodes/ .

Using the Workflow

1. Open ComfyUI and load kove_img_to_img_transparent.json

2. In the Start Frame node, upload your starting image

3. In the End Frame node, upload your ending image

4. Edit the Positive Prompt (see Prompting section below)

5. In the WAN I2V Conditioning node, set width , height , and length (frame count)

6. In the Save node, set your output filename and frame rate

7. Click Queue

The output WEBM file will appear in ComfyUI/output/ .

Key Parameters

| Parameter | Node | Notes |

|-----------|------|-------|

| Width / Height | WAN I2V Conditioning | Resolution of the output video. Default: 1024×1024 |

| Length | WAN I2V Conditioning | Number of frames. 61 frames @ 30 FPS ≈ 2 seconds |

| Filename | Save | Output file name. Existing files with the same name are overwritten without warning. |

| Frame Rate | Save | Playback FPS of the output WEBM |

| Codec | Save | VP8 (faster) or VP9 (better compression) |

| Quality | Save | 0–100. Default 20 is a good starting point |

Prompting

Always include this phrase in the positive prompt:

"The character is isolated against a transparent background."

Without it, rembg has less context and background removal quality drops.

The negative prompt is pre-filled with blurry, distorted, low quality, static, no motion — leave it as-is unless you have a specific reason to change it.

Example prompts

Idle character animation

The character is isolated against a transparent background.

The lighting is constant and even throughout the sequence.

The character breathes gently and sways slightly from side to side.

Hair and clothing move subtly with the sway.

The character does not speak. Slow movements. Idle animation.

Floating object

The character is isolated against a transparent background.

A glowing orb floats gently up and down. Soft pulsing light. Smooth looping motion.

Abstract effect

The character is isolated against a transparent background.

Colorful particles swirl and drift slowly. Ethereal. Cinematic quality.

Troubleshooting

Nodes missing after loading the workflow

• Confirm both custom node packages are installed and ComfyUI has been restarted

• Check the ComfyUI console for import errors

Background not fully removed

• Make sure the transparent background phrase is in your positive prompt

• Try a different rembg model in the RembgBackgroundRemover node (e.g. isnet-anime for illustrated characters)

CUDA out of memory

• Reduce width/height or frame count

• The two diffusion models are large (14B fp8); 16GB+ VRAM recommended

Output file is overwritten unexpectedly

• Change the filename in the Save node before each run

WEBM won't play in browser/editor

• Switch codec to VP9 in the Save node for broader compatibility

Source context: 374 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B