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fp16 SafeTensor
ltx-2-19b-ic-lora-detailer.safetensors
Half precision, best balance • 2.44 GB
Verified: 8 months ago
✨ LTX-2 Detail Enhancement LoRA
ltx-2-19b-ic-lora-detailer
This LoRA is designed to enhance fine visual details and local clarity in LTX-2 generated videos, improving textures, edges, and small visual elements without altering the overall composition or motion.
What it does:
Increases perceived sharpness and micro-detail
Enhances textures (faces, clothing, surfaces, environments)
Improves visual readability in complex scenes
Preserves motion and temporal consistency
Best for:
Close-ups and character shots
High-resolution renders
Cinematic scenes where detail matters
Final polish before upscaling or export
Creator tip:
Use this LoRA with moderate weight to avoid over-sharpening. It works especially well before spatial upscaling for cleaner high-resolution results.
🧠 Usage Notes
Designed for LTX-2 19B models
Fully compatible with ComfyUI workflows
Can be combined with camera control LoRAs
Recommended to apply only one detail enhancement LoRA at a time
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License:
LTX Video LicenseLTX-2 19B — COMPLETE COMMUNITY TOOLKIT
Everything you need to start creating with LTX-2 19B in ComfyUI, gathered in one community-maintained Civitai hub: base models, GGUF and FP8 variants, text encoders, VAEs, LoRAs, upscalers, ControlNet resources and ready-to-use workflows.
IMPORTANT
LTX-2 was created by Lightricks. I am not the original creator of the base model. This page mirrors and organizes useful public files from the official Lightricks ecosystem while also hosting my own workflows and community resources.
Official source: https://huggingface.co/Lightricks
START HERE — CHOOSE ONE MAIN MODEL
You do not need to download every file on this page.
• GGUF Q4_M — Smallest GGUF option for constrained hardware
• GGUF Q6_K — Good balance between size and fidelity
• GGUF Q8_0 — Highest-precision GGUF option, with the largest footprint
• FP8 Distilled — Faster generation and rapid iteration
• FP8 Dev — Full model behavior and maximum workflow flexibility
The distilled workflow is the easiest starting point when speed matters. Choose the full FP8 or higher-precision GGUF variants when final quality and flexibility matter more.
INCLUDED RESOURCES
• LTX-2 19B GGUF models: Q4_M, Q6_K and Q8_0
• Standard and distilled FP8 models
• Gemma text encoders
• Video and audio VAE components
• Distilled, detail-enhancement and camera-control LoRAs
• Spatial and temporal upscalers
• Canny ControlNet
• EKKIVOK text-to-video and image-to-video workflows
COMFYUI QUICK SETUP
1. Update ComfyUI before loading an LTX-2 workflow.
2. For native workflows, open Template Library → Video → LTX-2.
3. For GGUF models, install ComfyUI-GGUF and use Unet Loader (GGUF). Place .gguf files in ComfyUI/models/unet/; recent versions can also expose ComfyUI/models/diffusion_models/.
4. Place LoRAs in ComfyUI/models/loras/ and text encoders in ComfyUI/models/text_encoders/.
5. Load the included workflow, install missing custom nodes through ComfyUI Manager, then restart ComfyUI.
6. Select the downloaded filenames in the corresponding loader nodes. A downloaded filename may differ from the name saved inside an older workflow, so relink it once if ComfyUI shows a missing model.
TROUBLESHOOTING
• GGUF model missing: verify that you are using Unet Loader (GGUF), refresh the model list and restart ComfyUI.
• Red or missing nodes: use Install Missing Custom Nodes in ComfyUI Manager, then restart.
• Workflow asks for a differently named file: select the equivalent file manually in the loader node; you do not need to download the entire repository.
• Out of memory: begin with a smaller GGUF quantization or the distilled workflow, reduce resolution and frame count, and avoid loading unused models simultaneously.
• Need help: include your GPU, VRAM, ComfyUI version, workflow name and exact error message in your comment.
CREDITS AND DOCUMENTATION
• Original LTX project: https://huggingface.co/Lightricks
• Official LTX documentation: https://docs.ltx.video/open-source-model/integration-tools/comfy-ui
• Official ComfyUI LTX-2 guide: https://docs.comfy.org/tutorials/video/ltx/ltx-2
• ComfyUI-GGUF: https://github.com/city96/ComfyUI-GGUF
If this hub or one of my workflows helps you, sharing a result and leaving a review is the best way to support continued updates.
