INT4 Convrot Comfy Models

INT4 ConvRot Comfy Models — Winnougan

Poster

A collection of INT4 ConvRot-quantized diffusion, video, and upscaling models for ComfyUI, built to run comfortably on 8GB-class GPUs (developed and tested on an RTX 3070 Ti) without gutting output quality.

What's in this repo

Model	Type	Notes	Quant
Flux 2 Dev	Image diffusion	Base Flux 2 Dev checkpoint	INT4 convrot
Gemma 3 12B IT	LLM / Text	Instruction-tuned language model	INT4 convrot
Ideogram 4 Instant Comfy	Image diffusion	Comfy-optimized Ideogram 4 variant	INT8 convrot
Krea 2 Raw	Image diffusion	Base Krea 2 checkpoint, unmodified pipeline	INT4 convrot
Krea 2 Turbo	Image diffusion	Distilled/turbo variant, fewer steps	INT4 convrot
LTX-2.3 22B Distilled 1.1	Video diffusion	Transformer-only distilled LTX-2.3 build (22B)	INT4 convrot
Mistral 3 Small Flux 2	LLM / Multimodal	Mistral 3 Small integrated with Flux 2	INT4 convrot
SAM 3.1 Multiplex	Vision / Segmentation	Segment Anything Model 3.1 multiplex variant	INT8 convrot
SeedVR2 (7B)	Image and Video Upscaler	Full 7B variant	INT4 convrot
Sulphur Distilled	Video diffusion	Distilled checkpoint built off of LTX-2.3	INT4 convrot

All models are quantized to INT4 or INT8 using the Starnodes Model Converter (https://github.com/Starnodes2024/comfyui-starnodes-modelconverter).

Why ConvRot INT4

Standard INT8/INT4 row-wise quantization throws away a lot of precision on the weight matrices that matter most for visual fidelity. ConvRot groups weights along their largest power-of-4-compatible dimension before quantizing, which keeps much more of the original model's detail and reduces the artifacting you'd normally see from a naive INT4 cast. The trade-off is VRAM and disk savings big enough to run models like SeedVR2 7B and full video diffusion checkpoints on 8GB cards.

Requirements

• ComfyUI (nighlty build)
• If you're getting chronic errors update your Conda environment (I'm running Pytorch 2.12, cu132, Python 3.12, Flashattention/Sageattention and Triton 3.8)

Installation

1. Install ComfyUI-INT4-Fast into ComfyUI/custom_nodes/
2. Download the model(s) you want from this repo into the matching ComfyUI/models/diffusion_models/ (or appropriate folder for video/upscale models)
3. Load with the INT4 loader node from ComfyUI-INT4-Fast — do not use the standard checkpoint/UNETLoader nodes, they will not decode these correctly
4. See the Samples and Workflow folder in this repo for ready-to-use ComfyUI workflow JSONs and sample outputs

Quantization pipeline

Built with Starnodes power:

Grab the Starnodes model converter and do it yourself if you wish. It supports INT8 and INT4 convrot: Starnodes

Links

• 🎥 YouTube: tutorials and walkthroughs for this collection
• 💬 Discord: community, support, and early access
• 🩷 Patreon / ☕ Ko-fi: support ongoing quantization work
• 🤗 More models: huggingface.co/Winnougan

License

Inherits the license terms of each respective base model (Krea 2, LTX-2.3, Sulphur 2, SeedVR2). Check each upstream model's license before commercial use.

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Part of the ⚡ Winnougan quantization series.

Ideogram Non-Commercial Model Agreement Summary

Last Updated: June 3, 2026
Model Covered: Ideogram 4

Disclaimer: This is a plain-English summary for informational purposes only and does not constitute legal advice. Always refer to the original legal text for binding obligations.

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🎯 Core Purpose

This is a strictly non-commercial license. It allows you to use, modify, and share the Ideogram 4 model and its derivatives, but only for non-commercial, research, personal, or internal testing purposes.

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✅ What You CAN Do

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❌ What You CANNOT Do

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   "Ideogram 4 is provided under and subject to the Ideogram Non-Commercial Model Agreement available at https://github.com/ideogram-oss/ideogram-4/model_licenses/LICENSE-IDEOGRAM-4-NON-COMMERCIAL. All rights reserved. Copyright © Ideogram, Inc."

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💡 Key Takeaway

You are free to experiment, research, and build non-commercial projects with Ideogram 4, provided you give proper attribution, keep it strictly non-commercial, do not use it to train competitors, and avoid harmful or high-risk applications. For commercial use, a separate agreement with Ideogram is required.