SakeTami
Innovate Futures @ Benji
Innovate Futures @ Benji

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AI Video Generation Upgrade In ComfyUI - Unlimited Length Workflow Using Logical Conditions

Video Tutorial : https://youtu.be/BR1Lgnh--ok

Yesterday quick draft of this workflow : https://www.patreon.com/posts/native-wan-vace-133604147 (You can discuss about this workflow over there.)

Here is how this evolved over time:

And from the last video I posted in Youtube, and by the time of this long length idea evolved, we have great people in our community here need to thank:

Thank you for :

-  ⁨@Usako_USA⁩ in YouTube for constructive feedback and inspirational ideas

- TheJSN for helping on the technical side, all nodes optimization and the help for AI community.

- Manu Le for always being a badass MFer the aka Kling killer and the AI Avatar Killer XD

Discover how to create unlimited-length AI videos in ComfyUI using advanced logical conditions and loop workflows! This tutorial reveals how to bypass traditional frame limitations by implementing "for loops" and "if conditions" to dynamically generate seamless long-form content. Learn to optimize WAN 2.1 video generation with chunk-based processing, overlap frames, and multi-GPU support—perfect for music videos, animations, and cinematic scenes. Whether you're a programmer or artist, this method eliminates bulky workflows and unlocks true scalability for AI video production.

Who is this content suitable for?

AI video creators, developers, VFX artists, and ComfyUI users who want to break length barriers in WAN 2.1 workflows using programmatic logic.

Why it matters:

Traditional AI video tools struggle with fixed-length constraints. This upgrade introduces dynamic loop-based generation, allowing videos of any duration while maintaining smooth transitions and consistent quality—ideal for professional projects and creative experimentation.

For nodes

https://github.com/kijai/ComfyUI-WanVideoWrapper

https://github.com/kijai/ComfyUI-KJNodes

https://github.com/Fannovel16/comfyui_controlnet_aux

https://github.com/pythongosssss/ComfyUI-Custom-Scripts

https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

https://github.com/chflame163/ComfyUI_LayerStyle

For Low VRAM GGUF

https://github.com/city96/ComfyUI-GGUF

https://github.com/neuratech-ai/ComfyUI-MultiGPU

Models

--Text Encoder--

(https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/text_encoders)

--VAE--

(https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/vae)

FusionX Wan VACE Model (Only for running with FusionX without lightx2v_cfg_step_distill_lora) :

Safetensors

https://huggingface.co/QuantStack/Wan2.1_T2V_14B_FusionX_VACE

GGUF

https://huggingface.co/QuantStack/Wan2.1-14B-T2V-FusionX-VACE-GGUF

Models (for running without FusionX-CausVid )

Wan2.1_vace

(https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files/diffusion_models)

Or

Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF

(https://huggingface.co/QuantStack/Wan2.1_T2V_14B_LightX2V_StepCfgDistill_VACE-GGUF)

Wan21_T2V_14B_MoviiGen_lora_rank32_fp16

(https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_T2V_14B_MoviiGen_lora_rank32_fp16.safetensors)

Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32

(https://huggingface.co/Kijai/WanVideo_comfy/blob/main/Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors)

Wan2.1-Fun-14B-InP-MPS

(https://huggingface.co/alibaba-pai/Wan2.1-Fun-Reward-LoRAs/blob/main/Wan2.1-Fun-14B-InP-MPS.safetensors)

DetailEnhancerV1.safetensors

(https://huggingface.co/vrgamedevgirl84/Wan14BT2VFusioniX/tree/main/OtherLoRa's)

Img2vid and V2V attached below, have fun :)


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