Ltx2.3 10Eros I2V Workflow Kenpechi

v2.0 - I've implemented the Prompt-Relay node. For more details, please see Kijiai's GitHub repository. The prompt input method is unusual, so if you find it troublesome, please use "v1.1".

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;

【Checkpoint】

comfyUI/models/diffusion_models

Ltx2310eros_v1.safetensors (fp8)

https://civitai.red/models/2447875/ltx23-10eros?modelVersionId=2892069

or

(include VAE version) comfyUI/models/checkpoint

10Eros_v1-fp8mixed_learned.safetensors

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

【Text Encoder】

coomfyUI/models/text_encoders

Gemma_3_12B_it_fp8_scaled.safetensors

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

ltx_text_projection_bf16.safetensors

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

【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

【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

【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.

The reason I've separated Lora into First Pass and Upscale Pass is because I thought it might be better not to apply Lora too strongly to Upscale Pass, but it might not make much difference. In most of my past videos, I lowered Lora's weight in Upscale Pass, but I can't say for sure if that was meaningful.