This is a straightforward workflow for the LTXV 13b Distilled model, designed for quick and easy video generation. The distilled model runs much faster than the full version, but still delivers impressive...
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Overview
This is a straightforward workflow for the LTXV 13b Distilled model, designed for quick and easy video generation. The distilled model runs much faster than the full version, but still delivers impressive quality-making it a great choice for rapid prototyping or when you want to generate a lot of videos quickly.
How It Works
Scheduler Steps: You can set the scheduler to use anywhere from 4 to 12 steps .
For image-to-video (i2v) tasks, using 12 steps usually helps retain more detail from your input image.
8 steps is a good general-purpose setting-fast and still pretty accurate.
AI-generated commentary
AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.
This workflow is for image-to-video generation with the LTXV 13b Distilled model: it uses an input image to produce a generated video.
The workflow includes scheduling, conditioning, sampling, decoding, and video-combining stages.
Use an input image for image-to-video generation.
The output is a generated video; the described example is 5 seconds long.
The workflow is published by BingiBongi on Civitai.
Its listed base model is LTXV.
The named model files are ltxv-13b-0.9.7-distilled.safetensors, melting_v3_13b.safetensors, and t5xxl_fp16.safetensors.
Named workflow nodes include Add VAE Decoder Noise, BasicScheduler, CheckpointLoaderSimple, CLIPLoader, CLIPTextEncode, KSamplerSelect, and LoadImage.
Other named nodes are LoraLoader, LTXVBaseSampler, LTXVConditioning, RandomNoise, STGGuiderAdvanced, VAEDecode, and VHS_VideoCombine.
Set the scheduler between 4 and 12 steps.
For image-to-video, 12 steps is suggested when retaining input detail matters; 8 steps is described as a general-purpose setting.
Suggestion · not verified
Enable Load LoRA for extra effects or style, or leave it off for standard generation.
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At 4–6 steps, generation is described as faster, but complex images may drift visually or change style.
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No checksum is listed for the named model files; verify the exact files before use.
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Sources
1 sourceSource excerpts
1 excerptSource context: 433 downloads · Type Workflows · Base model LTXV
If you go lower (e.g., 4-6 steps), the workflow is even faster, but with complex images, the output might drift visually or change style.
LoRA Support: There’s a Load LoRA node included. Enable it if you want to add a LoRA for extra effects or style-otherwise, just leave it off for standard generation.
Speed: On an H100 GPU , this workflow generates a 5-second video (8 steps) in about 11 seconds .
Combining Models: For the best results, you can combine the distilled model with the full LTXV 13b model-use the distilled version for speed, and the full model for final, high-quality renders if needed. But honestly, the distilled model alone is already pretty solid for most use cases.
Estimated VRAM requirement
Estimate unavailable
9.12 GB across 1 of 6 model files. Model file total + 25% loading overhead + 2 GB execution buffer, rounded up.
Requirements
17 requirementsAdd VAE Decoder Noise
Not resolvedVAE · Unknown
CLIPLoader
Not resolvedText encoder · Unknown
ltxv-13b-0.9.7-distilled.safetensors
Not resolvedCheckpoint · Unknown
melting_v3_13b.safetensors
Not resolvedLoRA · Unknown
Text encoder · 9.12 GB · SAFETENSORS · Unknown
VAEDecode
Not resolvedVAE · Unknown
BasicScheduler
Not resolvedNode pack · Unknown
CheckpointLoaderSimple
Not resolvedNode pack · Unknown
CLIPTextEncode
Not resolvedNode pack · Unknown
Node pack · Unknown
LoadImage
Not resolvedNode pack · Unknown
LoraLoader
Not resolvedNode pack · Unknown
LTXVBaseSampler
Not resolvedNode pack · Unknown
LTXVConditioning
Not resolvedNode pack · Unknown
RandomNoise
Not resolvedNode pack · Unknown
STGGuiderAdvanced
Not resolvedNode pack · Unknown
VHS_VideoCombine
Not resolvedNode pack · Unknown