V1.5 LTX-2 DEV Video with Audio including latest 🅛🅣🅧 Multimodal Guider

Image to Video and a Text to Video workflow, both can use own Prompts or Ollama generated/enhanced prompts.

Replaced the Guider node with latest Multimodal Guider node, see more details in WF notes or here: https://ltx.io/model/model-blog/ltx-2-better-control-for-real-workflows Before we had 1 CFG parameter for audio and video. With multimodal guider, we now can tweak audio and video seperately with even more parameters...

• added a Power Lora Loader node to inject further Loras

• use Image to Video Adapter Lora to improve motion for I2V: https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa/tree/main

• replaced a node to no longer require comfymath custom nodes

V1.0 LTX-2 DEV Video with Audio:

Image to Video and a Text to Video workflow with own Prompts or Ollama generated/enhanced prompts.

• setup for the LTX2 Dev model.

• uses Detailer Lora for better quality and LTX tiled VAE to avoid OOM and visual grids

• 2 pass rendering (motion+upscale). Upscale process uses distilled and spatial upscale Lora

• setup with latest LTXVNormalizingSampler to increase video & audio quality.

• Text to Video can use dynamic prompts with wildcards.

I am using these starting parameters for ComfyUi to avoid OOM (my setup: 16g Vram/64g Ram):

--lowvram --cache-none --reserve-vram 6 --preview-method none

Download Files:

Find Model/Lora Loader nodes within Sampler Subgraph node.

- LTX2 Dev Model (dev_Fp8): https://huggingface.co/Lightricks/LTX-2/tree/main

- Detailer Lora: https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Detailer/tree/main

- Distilled (lora-384) & Spatial upscaler Lora: https://huggingface.co/Lightricks/LTX-2/tree/main

- VAE (already included in above dev_FP8 model, but needed if you go for GGUF models): https://huggingface.co/Lightricks/LTX-2/tree/main/vae

- Textencoder (fp8_e4m3fn): https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/tree/main

- Image to Video Adapter Lora (more motion with I2V): https://huggingface.co/MachineDelusions/LTX-2_Image2Video_Adapter_LoRa/tree/main

- Ollama Models:

• (reads prompt only, fast): https://ollama.com/goonsai/josiefied-qwen2.5-7b-abliterated-v2

• alternative model with Vision (reads input image+prompt, slower, it can do reasoning by enabling "think" in Ollama generate node): https://ollama.com/huihui_ai/qwen3-vl-abliterated

• Other uncensored models I have tested:

  • 27b model with Vision, very slow, but knows a lot of context: https://ollama.com/mdq100/Gemma3-Instruct-Abliterated

  • small, very fast model reads prompt only: https://ollama.com/artifish/llama3.2-uncensored

Save Location:

📂 ComfyUI/

├── 📂 models/

│ ├── 📂 checkpoints/

│ │ ├── ltx-2-19b-dev-fp8.safetensors

│ ├── 📂 text_encoders/

│ │ └── gemma_3_12B_it_fp8_e4m3fn.safetensors

│ ├── 📂 loras/

│ │ ├── ltx-2-19b-distilled-lora-384.safetensors

│ └── 📂 latent_upscale_models/

│ └── ltx-2-spatial-upscaler-x2-1.0.safetensors

Custom Nodes used:

https://github.com/Lightricks/ComfyUI-LTXVideo

https://github.com/rgthree/rgthree-comfy

https://github.com/yolain/ComfyUI-Easy-Use

https://github.com/stavsap/comfyui-ollama

https://github.com/evanspearman/ComfyMath (V1.0 only, not required as of V1.5)

Text 2 Video only:

https://github.com/KoinnAI/ComfyUI-DynPromptSimplified

Res2_s sampler (optional, recommended by Lightricks, but slow, alternative samplers: euler, euler_ancest):

https://github.com/ClownsharkBatwing/RES4LYF