Duplicate from Winnougan/INT4-Convrot-Comfy-Models

Co-authored-by: Winnougan <Winnougan@users.noreply.huggingface.co>

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Qwen3-VL-8B-Instruct-int4_convrot.safetensors

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README.md

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+---
+license: other
+tags:
+- comfyui
+- quantization
+- int4
+- convrot
+- diffusion
+- image-generation
+- video-generation
+- upscaling
+- krea
+- ltx
+- seedvr2
+---
+
+# INT4 ConvRot Comfy Models — Winnougan
+
+![Poster](https://huggingface.co/Winnougan/INT4-Convrot-Comfy-Models/resolve/main/Samples%20and%20Workflow/Winnougan_INT4_Poster.png)
+
+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 |
+|---|---|---|---|
+| **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 1.1 Distilled** | Video diffusion | Distilled LTX-2.3 build | INT4 convrot |
+| **Sulphur 2 Base** | Video diffusion | Base checkpoint built off of LTX-2.3 | INT4 convrot |
+| **SeedVR2 (7B)** | Image and Video Upscaler | Full 7B variant | INT4 convrot |
+
+All models are quantized to **INT4** using **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](https://github.com/Starnodes2024/comfyui-starnodes-modelconverter)
+
+
+## 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](https://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.
+
+---
+
+*Part of the ⚡ Winnougan quantization series.*

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+        "# Winnougan's 10 Toes V1.3\n\n## **You can download all the models from the links below.**\n\n## All of my INT4 models can be found here:\n\n---\n## 👉 **[Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8](https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8)**\n\n## 👉 **[Winnougan's INT4 Collection](https://huggingface.co/Winnougan/INT4-Convrot-Comfy-Models)**\n\n---\n## My custom Krea 2 finetunes can be found here (INT8 Convrot, INT4 Convrot, GGUF Q8 and Q4, FP8, BF16)\n## 👉 **[Winnougan's 10 Toes Krea 2 Turbo Finetune](https://civitai.red/models/2760322/winnougan-10-toes-int8-convrot-and-fp8)**\n## 👉 **[Winnougan's 10 Toes Krea 2 RAW Finetune](https://civitai.red/models/2766027/winnougans-10-toes-krea-2-raw-v13)**\n\n---\n\n## Required Downloads\n\n## **Text Encoder Uncensored** — Comfy now supports INT8 Convrot text encoders! Load with CLIPLoader:  \n## 👉 [qwen3vl_4b_uncensored_INT8_convrot.safetensors](https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8/resolve/main/Text%20Encoder/qwen3vl_4b_uncensored_int8_convrot.safetensors)\n\n## **VAE** — Qwen Image:  \n## 👉 [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n---\n\n## Recommended Settings\n\n| Model | Steps | CFG | Resolution |\n|-------|-------|-----|------------|\n| Turbo | 8 | 0.0 | 1024–2048px |\n| Raw | 52 | 3.5 | up to 1024px |"
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+}

Samples and Workflow/Low_vram_SeedVR_LTX-2.3_Video_INT4.json

@@ -0,0 +1,3138 @@
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Samples and Workflow/Sulphur_WF.json

@@ -0,0 +1,2515 @@
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+}

Samples and Workflow/Winnougan_Krea2_INT4_SeedVR_WF.json

@@ -0,0 +1,1687 @@
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+        "# Winnougan's 10 Toes V1.3\n\n## **You can download all the models from the links below.**\n\n---\n## 👉 **[Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8](https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8)**\n\n## 👉 **[Krea 2 Raw Turbo LoRA](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/loras/krea2_turbo_lora_rank_64_bf16.safetensors)**\n\n---\n\n## Required Downloads\n\n## **Text Encoder Uncensored** — Comfy now supports INT8 Convrot text encoders! Load with CLIPLoader, type `krea2`:  \n## 👉 [qwen3vl_4b_uncensored_INT8_convrot.safetensors](https://huggingface.co/Winnougan/Krea-2-Base-Turbo-NVFP4-FP8-INT8/resolve/main/Text%20Encoder/qwen3vl_4b_uncensored_int8_convrot.safetensors)\n\n## **VAE** — Qwen Image:  \n## 👉 [qwen_image_vae.safetensors](https://huggingface.co/Comfy-Org/Krea-2/resolve/main/vae/qwen_image_vae.safetensors)\n\n---\n\n## Recommended Settings\n\n| Model | Steps | CFG | Resolution |\n|-------|-------|-----|------------|\n| Turbo | 8 | 0.0 | 1024–2048px |\n| Raw | 52 | 3.5 | up to 1024px |"
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Samples and Workflow/Winnougan_LTX-2.3_INT4_SeedVR.json

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