User Manual for LTX2.3 First & Last Frame Video Workflow
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Source description
User Manual for LTX2.3 First & Last Frame Video Workflow
Sources
1 sourceSource excerpts
1 excerptSource context: 934 downloads · Type Workflows · Base model LTXV 2.3
The online workflow uses the LTX-2.3-22b-dev-fp8 model, and the local version can be adjusted according to your hardware configuration. It is confirmed that the Q4.gguf model is fully compatible with 12GB VRAM.
Pay attention to the notes next to the model when making adjustments and ensure correct node connections.
KJ's model offers the best cost-performance ratio for balancing low hardware requirements, fast generation speed and high output quality. The GGUF version has the lowest configuration demands, while the LTX-2.3-22b-dev-fp8 model delivers the best visual effects.
Specific rules apply to resolution selection; see the notes next to the resolution settings for details. Landscape mode is highly recommended—portrait mode is supported for generation but will produce subpar results.
Test conditions: Generating a 10-second image-to-video at 1280×736 resolution on a test PC with RTX 5060 Ti 16G + 32G RAM.
ltx-2.3-22b-distilled_transformer_only_fp8_scaled: 335s
ltx-2.3-22b-dev: 20min
LTX-2.3-22b-dev-fp8: 500s
LTX-2.3-22b-dev-Q4_K_M.gguf: 430s
LTX-2.3-22b-dev-Q8_0.gguf: 470s
The auto-generated prompts have been repeatedly tested and can also be used with prompt templates to generate video prompts in other AI agents.
For first & last frame video generation, it is recommended to avoid excessive motion in the footage.
You can manually add intermediate frames via the first & last frame nodes to achieve multi-frame video generation.
Resolution Selection Guidelines
(1) The output video dimensions of LTX must be multiples of 32. For a strict 16:9 aspect ratio, refer to the following resolutions: 512×288; 1024×576.
(2) Other approximate 16:9 resolutions: 1920×1088.
(3) Input resolutions of 1280×720/736 will both output a video of 1280×704.
(4) 1280×768 is a fully supported resolution for normal output.
(5) Higher resolutions yield better visual effects but require more powerful hardware configurations.
Model download links are provided in the workflow.
This workflow is available for free online testing—download it for local use only if you are satisfied with the results.
Bonus Points: 1000 points for new registrations, 100 points for daily login. A single generation with the above test parameters consumes only 80 points.
Remaining hardware or download-size estimates are not available yet.
Requirements
gemma_3_12B_it_fp4_mixed.safetensors
File unverifiedText encoder · Hugging Face · Comfy-Org/ltx-2 · Ltx 2
Text encoder · 12.3 GB · Civitai · 2291679
ltx-2-spatial-upscaler-x2-1.0.safetensors
File unverifiedUpscaler · Hugging Face · Lightricks/LTX-2 · LTX 2
ltx-2.3_text_projection_bf16.safetensors
Not resolvedText encoder · Unknown
ltx-2.3-22b-dev-fp8.safetensors
File unverifiedVAE · Hugging Face · Lightricks/LTX-2.3-fp8 · LTX 2.3 FP8
Checkpoint · 21.9 GB · SAFETENSORS · Unknown
LoRA · 7.08 GB · Hugging Face · Lightricks/LTX-2.3
Checkpoint · 21.2 GB · Hugging Face · unsloth/LTX-2.3-GGUF
VAE · 348 MB · SAFETENSORS · bf16 · full · Unknown
LTX23_video_vae_bf16.safetensors
File unverifiedVAE · Unknown · LTX23 Video VAE Bf16.safetensors
Qwen3.5-9B-mmproj-F16.gguf
Not resolvedCheckpoint · Unknown
Checkpoint · 8.87 GB · Hugging Face · eaddario/Qwen3.5-9B-GGUF
ComfyMath
PossibleNode pack · Registry
ComfyUI_Comfyroll_CustomNodes
FoundNode pack · Registry
comfyui-custom-scripts
FoundNode pack · Registry
comfyui-easy-use
FoundNode pack · Registry
ComfyUI-GGUF
PossibleNode pack · Registry
Node pack · Registry
llama-cpp_vllm
Not resolvedNode pack · Registry