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These workflows make it easier to install Wan Video more info here 👇
Runtime profile
Source excerpt
These workflows make it easier to install Wan Video more info here 👇
Remaining hardware or download-size estimates are not available yet.
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AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
This workflow is for making it easier to install Wan Video; its listed image-to-video graph takes an image and text and saves a WEBM video.
The 17-node graph loads an image, encodes vision and text, applies Wan image-to-video processing, decodes with a tiled VAE, and saves WEBM.
Provide an image and text; the graph writes WEBM video.
It is published by Tingtingin and uses Wan Video as its base model.
The listed model files are `clip_vision_h.safetensors`, `umt5_xxl_fp8_e4m3fn_scaled.safetensors`, `wan_2.1_vae.safetensors`, and `wan2.1-i2v-14b-480p-Q4_K_S.gguf`.
A node pack named `comfyui-gguf` is also listed.
The listed version is named `Img 2 Video GGUF`.
Before setup, verify that the four model files are available under those exact names and confirm the intended package represented by `comfyui-gguf`.
Suggestion · not verified
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Sources
1 sourceSource excerpts
1 excerptSource context: 1256 downloads · Type Workflows · Base model Wan Video
Requirements
Vision model · 135 B · SAFETENSORS · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
File unverifiedText encoder · Unknown
wan_2.1_vae.safetensors
File unverifiedVAE · Unknown
Checkpoint · 9.72 GB · GGUF · Unknown
comfyui-gguf
PossibleNode pack · Registry
