LTX-2
comfyui
quantization
int4
convrot
diffusion
image-generation
video-generation
upscaling
krea
seedvr2
Instructions to use Winnougan/INT4-Convrot-Comfy-Models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX-2
How to use Winnougan/INT4-Convrot-Comfy-Models with LTX-2:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download Winnougan/INT4-Convrot-Comfy-Models --local-dir models/INT4-Convrot-Comfy-Models hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/INT4-Convrot-Comfy-Models/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/INT4-Convrot-Comfy-Models/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/INT4-Convrot-Comfy-Models/<checkpoint>.safetensors \ --distilled-lora models/INT4-Convrot-Comfy-Models/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/INT4-Convrot-Comfy-Models/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
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@@ -24,13 +24,18 @@ A collection of INT4 ConvRot-quantized diffusion, video, and upscaling models fo
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| Model | Type | Notes | Quant |
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| **Krea 2 Raw** | Image diffusion | Base Krea 2 checkpoint, unmodified pipeline | INT4 convrot |
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| **Krea 2 Turbo** | Image diffusion | Distilled/turbo variant, fewer steps | INT4 convrot |
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| **LTX-2.3 1.1
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| **SeedVR2 (7B)** | Image and Video Upscaler | Full 7B variant | INT4 convrot |
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All models are quantized to **INT4** using **Starnodes Model Converter** (https://github.com/Starnodes2024/comfyui-starnodes-modelconverter)
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## Why ConvRot INT4
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| Model | Type | Notes | Quant |
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| **Flux 2 Dev** | Image diffusion | Base Flux 2 Dev checkpoint | INT4 convrot |
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| **Gemma 3 12B IT** | LLM / Text | Instruction-tuned language model | INT4 convrot |
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| **Ideogram 4 Instant Comfy** | Image diffusion | Comfy-optimized Ideogram 4 variant | **INT8** convrot |
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| **Krea 2 Raw** | Image diffusion | Base Krea 2 checkpoint, unmodified pipeline | INT4 convrot |
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| **Krea 2 Turbo** | Image diffusion | Distilled/turbo variant, fewer steps | INT4 convrot |
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| **LTX-2.3 22B Distilled 1.1** | Video diffusion | Transformer-only distilled LTX-2.3 build (22B) | INT4 convrot |
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| **Mistral 3 Small Flux 2** | LLM / Multimodal | Mistral 3 Small integrated with Flux 2 | INT4 convrot |
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| **SAM 3.1 Multiplex** | Vision / Segmentation | Segment Anything Model 3.1 multiplex variant | **INT8** convrot |
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| **SeedVR2 (7B)** | Image and Video Upscaler | Full 7B variant | INT4 convrot |
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| **Sulphur Distilled** | Video diffusion | Distilled checkpoint built off of LTX-2.3 | INT4 convrot |
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All models are quantized to **INT4** or **INT8** using the **Starnodes Model Converter** (https://github.com/Starnodes2024/comfyui-starnodes-modelconverter).
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## Why ConvRot INT4
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