ComfyUI Cakeify effect

This is a very easy to use implementation of Wan 2.1 I2V (Image to Video) workflow to create the Cakeify effect using the Cakeify Effect (Wan2.1 I2V LoRA).

✨ Key Features:

✅ Embedded prompt: You just need to say which object will be cut

✅ Simple length specification: Just enter how many seconds to generate

✅ Video upscaler: Optional 3x resolution upscaler (1440p/2160p)

✅ Frame interpolation: Optional 3x frame interpolation (24/48 fps)

✅ Low VRAM optimized: Uses GGUF quantized models (i.e Q4 for 12 GB)

✅ Accelerated: Uses Sage Attention and Tea Cache (>50% speed boost ⚡)

✅ Multiple save formats: Webp, Webm, MP4, individual frames, etc.

✅ Advanced options: FPS, steps and 720p in a simple panel

✅ Key shortcuts to navigate the workflow

The worflow is ready to be used with GGUF models, and you can easily change it to use the 16 bits Wan model.

The models used are:

Wan:

Wan 2.1 I2V 480p Q4_K_S You can use another Q4 selecting it, Q4 is for 12 GB, Q3 for 8 GB

T5 text encoder for Wan

VAE for Wan

CLIP Vision for Wan

Alternatively you can use the 720p model:

Wan 2.1 I2V 720p Q4_K_S

Upscaler:

Clear Reality v1

LoRA:

Wan 2.1 Cakeify

If you are new to ComfyUI please install the custom nodes manager, the first time you load this workflow you'll probably need to enter to the manager and install the missing nodes.