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

FMLF v2.0 – This version isolates the "First, Middle, and Last Frame" functionality from Director v2.0 and separates it into three distinct nodes. Since a number of users find the FMLF version easier to use, I have updated it alongside the main version.

Director v2.0 - Distilled LoRA can now be disabled to allow the use of alternatives such as DMD LoRA. I have made it possible to switch between the manual sigma value and the "Basic Scheduler."

※     Please note that the audio volume inevitably drops after upscaling. I am not sure if this is due to a mistake in my settings. For now, I have set the volume to "18," but if the volume is fine in your setup, please adjust it to "0" or another appropriate level.

Director v1.0 - I have introduced the "Ltx Director v2.0" node and removed nodes with redundant functionality. I also updated the input area to allow adjustment of the Basic Scheduler step count and the target resolution following the final upscaling. Additionally, I added nodes for configuring Ic LoRA settings.

FMLF v1.1 - Moved the settings for frame rate and length (seconds) loser to the Prompt-Relay node to improve usability.

Made it easy to apply frame rate changes to the Ltx Sequencer.

Consolidated the Power LoRA Loader nodes into a single node, as the downsides outweighed the benefits.

Made it easier to adjust the volume of the generated audio.

Switched the VAE Decode in the upscaling path to the Tiled version.

Expanded the list of recommended checkpoints after testing with models other than 10Eros.

FMLF V1.0 - This workflow incorporates two nodes by WhatDreamCost, "LTX Sequencer" and "Multi Image Loader," as well as Kijai's "Prompt-Relay" node.

Please refer to WhatDreamsCost's GitHub for information on how to use the "Ltx Director v2.0" node.

【WhatDreamsCost-ComfyUI】

https://github.com/WhatDreamsCost/WhatDreamsCost-ComfyUI

【Prompt-Relay】

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

This workflow is not suitable for beginners.

"Ltx Director," provided by WhatDreamCost, allows you to place multiple "anchor images" at specific points along the video timeline and assign corresponding prompts to each. This capability makes it easier to control the video's content by applying the necessary images and prompts exactly when desired. Furthermore, when featuring the same character, using their image as an anchor helps maintain facial consistency.

However, the key difference from standard workflows is the requirement to prepare multiple images in advance; consequently, this workflow may not be suitable for beginners. Personally, I primarily use "Qwen-Image-Edit 2511" to edit image content and orientation, while using image processing software to handle cropping and the preparation of multiple images. Although it requires some effort, once the necessary images are ready, you can create videos that faithfully reflect your creative vision.

Additionally, the "FMLF" version is a workflow that isolates the "First," "Middle," and "Last Frame" functions of Ltx Director into three separate nodes. If you prefer a more streamlined feature set to achieve greater flexibility in video control, you might find this version easier to work with.

I only recently began using this workflow in earnest, but I decided to share it now in the hope that it contributes to the further expansion of the local generation environment for Ltx2.3.

●The safetensors model required for this workflow:

【Text Encoder】

ComfyUI/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】

ComfyUI/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.)

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

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

●Recommended safetensors models for this workflow:

【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

【OmniNFT Lora】

LTX-2.3-OmniNFT-RL-Lora_bf16.safetensors

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

●As we have received many inquiries, I am sharing the models and workflows used in Qwen Image Edit 2511 for your reference.

【Recommended Checkpoint】

Qwen-Rapid-AIO-NSFW-v19.safetensors

https://huggingface.co/Phr00t/Qwen-Image-Edit-Rapid-AIO/tree/main/v19

【Recommended Workflow】

https://civarchive.com/models/2167203/nsfw-qwen-image-edit-rapid-aio?modelVersionId=2440501

【Multi-angle LoRA model】

（It is already included in 2511, but using LoRA is expected to further enhance the effect.）

qwen-image-edit-2511-multiple-angles-lora.safetensors

https://huggingface.co/fal/Qwen-Image-Edit-2511-Multiple-Angles-LoRA/tree/main

【Multi-angle Workflow】

image_qwen_image_edit_2511_multiangle_camera.json

https://github.com/jtydhr88/ComfyUI-qwenmultiangle/tree/master/workflow

● Points to Note:

・ Even when using fp8 models, the total size of the required files exceeds 40GB. Consequently, unless your system has at least 64GB of RAM, you are highly likely to encounter Out-of-Memory (OOM) errors. Since this workflow supports GGUF models, you might want to consider using them instead.

・ When inputting multiple images, you need to adjust the "Guide Strength" value at the bottom right of the node for each segment. Although this setting is small and easily overlooked, it is crucial; please take the time to specify it for every segment. Note that a lower Strength value for an applied image allows for more movement during the video, though this comes at the cost of consistency regarding the anchor image. Therefore, it is best to fine-tune this setting based on the specific video you wish to create.

・ Ltx2.3 Distilled LoRAs are notoriously difficult to work with—even more so than those for Wan2.2. While many models have been released, it is hard to determine which one is best. You will need to experiment with various combinations to find what works with your chosen base model; the same applies to weight settings.

・ Although IC-LoRA functionality is included, I have not used it extensively. I did run generations using the models "ltx23_edit_anything_global_rank128_v1_9000steps_adamw.safetensors" and "ltx-2.3-22b-ic-lora-union-control-ref0.5.safetensors" to verify operation; while I cannot speak to the output quality, I confirmed that the IC-LoRA function was indeed applied. Please understand that I cannot answer questions unrelated to IC-LoRA workflows. The tool is highly feature-rich, so please refer to the creator's GitHub page for full details.

・ Just to clarify, I am not an expert in AI generation. Everything I’ve shared here is the result of trial and error, based on actual testing and research into the vast amount of information available in the community. Consequently, I cannot answer highly technical questions; my knowledge is strictly limited to my own personal experience. If any issues arise, I would greatly appreciate it if you could handle the troubleshooting yourself.