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Qwen3.5 models quantized for ComfyUI, run on 8GB VRAM

By PulseAugur Editorial · [1 sources] ·

A user has released quantized versions of the Qwen3.5 models (2B, 4B, and 9B parameters) for use with ComfyUI. These INT8 models, utilizing ConvRot quantization, are designed to run efficiently on systems with as little as 8GB of VRAM. The user provides drop-in replacements for existing BF16 models and includes a workflow for image prompting, analysis, and captioning for LoRA training. AI

IMPACT Enables lower-spec hardware to run larger language models for image generation tasks.

RANK_REASON User-created quantized model release for a specific tool (ComfyUI).

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.5 models quantized for ComfyUI, run on 8GB VRAM

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
User-created quantized model release for a specific tool (ComfyUI).
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
94 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/Winougan ·

    [Release] Qwen3.5 INT8 + ConvRot text encoders for ComfyUI (2B/4B/9B, runs on 8GB VRAM)

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1un547d/release_qwen35_int8_convrot_text_encoders_for/"> <img alt="[Release] Qwen3.5 INT8 + ConvRot text encoders for ComfyUI (2B/4B/9B, runs on 8GB VRAM)" src="https://preview.redd.it/figbmga8r6bh1.png?w…

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