Smittie's SVI2 1080p 60 FPS Workflow
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Source description
Smittie's SVI2 1080p 60 FPS Workflow
Description
With this workflow you can generate a longer video in 1080p and 60 FPS without color or motion mismatch between the video segments (or choose cross-fade or jump-cut as transition) and inject anchor images (not end images) as further detailed guidance. You can also continue videos of ANY length (series, movies, etc.) without running into RAM issues.
If you just want to use I2V or continue videos that are only a few seconds long, then you can still use workflow v4. This one doesn't require the ComfyUI-Terminal node.
At least 16 GB of VRAM recommended, but with more quantized versions of the Wan 2.2 I2V diffusion models you can go even lower. This workflow was tested with 24 GB of VRAM and 64 GB of RAM.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
Use this ComfyUI workflow with Wan Video 2.2 I2V-A14B to turn input images or existing videos into longer 1080p video at 60 FPS, continue sequences across segments without color or motion mismatch, add anchor images for guidance, and choose cross-fade or jump-cut transitions.
The workflow includes nodes for loading images and videos, resizing and encoding inputs, sampling and interpolating frames, previewing results, and combining video.
For image-to-video, provide an input image; for continuation, load a video and use anchor images rather than end images for added guidance.
The described output is longer 1080p video at 60 FPS, including continuations of any length such as series and movies.
Download the workflow from https://civitai.com/models/2288118 and follow its version-specific Initial Setup note before use.
Suggestion · not verified
If you only need image-to-video or a continuation lasting a few seconds, the listing describes workflow v4 as an alternative that does not require the ComfyUI-Terminal node.
The listed model files are DasiwaWAN22I2V14BLightspeed_tastysinHighV81.safetensors, DasiwaWAN22I2V14BLightspeed_tastysinLowV81.safetensors, umt5_xxl_fp8_e4m3fn_scaled.safetensors, and wan_2.1_vae.safetensors.
The listed node packs and pins are comfyui_local_lora_gallery (1.1.4), comfyui-easy-use (1.3.6), comfyui-kjnodes (79f529a84a8c20fe5dcdfa984c6be7a94102c014), comfyui-videohelpersuite (8550981384301e9bc5bfea83e5c2c75258102593), and jovimetrix (2.1.25).
Choose cross-fade or jump-cut between video segments.
Suggestion · not verified
Plan for at least 16 GB of VRAM; more-quantized Wan 2.2 I2V diffusion models may allow less.
Suggestion · not verified
The listing does not state a license, so verify the applicable terms before use.
Suggestion · not verified
Before use, check that these two model files are present: DasiwaWAN22I2V14BLightspeed_tastysinHighV81.safetensors and DasiwaWAN22I2V14BLightspeed_tastysinLowV81.safetensors.
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Sources
1 sourceSource excerpts
1 excerptSource context: 2336 downloads · Type Workflows · Base model Wan Video 2.2 I2V-A14B
Install Instructions
Those are specific to the workflow version. Download a workflow and do what the "Initial Setup" note says.
Video Instructions
If you don't know what to do, you can watch the Stable Video Infinity Tutorial by AI Search . He works with a different workflow, which I have built upon.
Acknowledgement
Most credits goes to the Stable Video Infinity, Lightning, Wan, ffmpeg, ComfyUI and CivitAI team, as well as kijai, AI Search, darksidewalker, Joviex, GACLove, jeankassio and Firetheft. Thank you guys!
Estimated VRAM requirement
Estimate unavailable
Model file sizes are not complete enough to calculate this requirement yet.
Requirements
9 requirementsDasiwaWAN22I2V14BLightspeed_tastysinHighV81.safetensors
Not resolvedCheckpoint · Unknown
DasiwaWAN22I2V14BLightspeed_tastysinLowV81.safetensors
Not resolvedCheckpoint · Unknown
umt5_xxl_fp8_e4m3fn_scaled.safetensors
File unverifiedText encoder · Hugging Face · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Comfy-Org/Wan_2.1_ComfyUI_repackaged · Hugging Face
VAE · Hugging Face · Comfy-Org/Wan_2.2_ComfyUI_Repackaged
Node pack · Registry
Node pack · Registry
Node pack · Registry
Node pack · Registry
Node pack · Registry