Please be sure to update ComfyUI itself to the latest version.

v2.0 Prompt_Relay - Prompt-Relay has been implemented. Except for the positive prompt node, it is exactly the same as v2.0. If you want finer control over the prompts, this method is recommended, though it cannot be guaranteed to work perfectly.

v2.0 - Support for GGUF models has been added, and some 10Eros-Nodes have been implemented. Additionally, Distilled LoRA can now be disabled to allow the use of alternatives such as DMD LoRA. In the input area, it is now easy to configure settings such as the upscaled resolution, volume, number of steps for the Basic Scheduler, and Distilled LoRA weight.

v1.2 - Fixed connections related to the "LTXVCropGuides" node. Due to a lack of understanding of the "LTXVCropGuides" node, the connection method in v1.1 was incorrect. This error may have caused artifacts after upscaling under certain conditions, so this version has been updated, but it is not guaranteed to fix the problem.

Also, some configurations have been revised.

I noticed this issue when I tried to introduce a certain node into a new workflow, and severe artifacts occurred in my environment as well. Because the node connection method is different, it is not guaranteed that this workflow will be fixed, but I am releasing it for now.

v1.1 - Fixed an issue where the target FPS was being applied even when RIFE was not being used. Please enable only either "RIFE..." or "Don't Use..." on the FastGroupBypass node. Also, corrected an incorrect connection to the NAG node.

v1.0 - I've released the workflow I've been using for generation. However, please don't expect too much support from me.

●The safetensors model required for this workflow:

【Text Encoder】

coomfyUI/models/text_encoders

gemma_3_12B_it_fp8_scaled.safetensors　（Some people also use fp4.）

https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders

or

Gemma_3_12B_it_ablit-norms-biproj-fp8mixed.safetensors

https://huggingface.co/TenStrip/LTX2.3-10Eros/tree/main/text_encoders

or

gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors

https://huggingface.co/DreamFast/gemma-3-12b-it-heretic-v2/resolve/main/comfyui/gemma-3-12b-it-heretic-v2_fp8_e4m3fn.safetensors?download=true

ltx_text_projection_bf16.safetensors

https://huggingface.co/Kijai/LTX2.3_comfy/tree/main/text_encoders

(If using checkpoints that include CLIP, this is unnecessary.)

【VAE】

coomfyUI/models/vae

LTX23_audio_vae_bf16.safetensors

LTX23_video_vae_bf16.safetensors

(If using checkpoints that include VAE, this is unnecessary.)

taeltx2_3.safetensors

https://huggingface.co/Kijai/LTX2.3_comfy/tree/main/vae

【Upscaler】(Be sure to select "1.1". "1.0" has a bug.)

ComfyUI/models/latent_upscale_models

Ltx-2.3-spatial-upscaler-x2-1.1.safetensors

https://huggingface.co/Lightricks/LTX-2.3/tree/main

●Recommended safetensors models for this workflow:

【Recommended Checkpoint】

(include CLIP & VAE version) comfyUI/models/checkpoint

ltx2310eros_v12.safetensors

ltx2310eros_v14.safetensors

https://civarchive.com/models/2447875/ltx23-10eros?modelVersionId=3109610

or

comfyUI/models/diffusion_models (GGUF … comfyUI/models/unet)

DasiwaLTX23_DragonleapV4.safetensors

https://civarchive.com/models/2543443/dasiwa-ltx-23?modelVersionId=3092188

【Distilled Lora】

ComfyUI/models/loras

Ltx-2.3-22b-distilled-lora-1.1_fro90_ceil72_condsafe.safetensors

https://huggingface.co/TenStrip/LTX2.3_Distilled_Lora_1.1_Experiments/tree/main

※ Recommended weights for Distilled LoRA

・     10Eros v1.2 ... First Pass: 0.8–0.9, Upscale Pass: 0.5–0.6

・     Dasiwa Ltx2.3 v4 ... First Pass: 0.5–1.0, Upscale Pass: 0–0.5

Distilled LoRA and DMD LoRA serve similar functions, so do not enable them at the same time.

If the base model recommends DMD LoRA (such as 10Eros v1.4), enable only DMD LoRA and disable Distilled LoRA. For other base models, enable only Distilled LoRA and disable DMD LoRA.

【DMD Lora】

ComfyUI/models/loras

LTX2.3_DMD_reshaped_r256.safetensors

https://huggingface.co/TenStrip/LTX2.3_DMD_Lora/tree/main

※ Recommended weights for Distilled LoRA

・     10Eros v1.4 ... 1.0

【OmniNFT Lora】

LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors

https://huggingface.co/Kijai/LTX2.3_comfy/tree/main/loras

【comfy-nodes】

https://github.com/TenStrip/10S-Comfy-nodes

【Prompt-Relay】

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

Even when using the fp8 model, downloading all the necessary files will exceed 40GB. Because of this, you will likely encounter an Out of Memory error unless you have at least 64GB of system RAM. In fact, I hit OOM errors myself depending on the resolution and video length I tried.

Although using Prompt-Relay makes the workflow somewhat more complex, it offers significant benefits by enabling time-based prompting. It is a shame that it doesn't allow for dynamic adjustment of LoRA application—unlike the SVI feature in Wan2.2—but I consider it an essential node if you want to create videos that more faithfully match your vision.