CivArchive
    QWEN RAPID NSFW v23 - INT8 Convrot/INT6 W6A8 - INT8 Convrot
    NSFW
    Preview 144815409
    Preview 144816088
    Preview 144813695
    Preview 144820806
    Preview 144815566
    Preview 144813712
    Preview 144815965
    Preview 144816346
    Preview 144816768
    Preview 144821718

    To run the INT6 W6A8 version, the ComfyUI version must be v0.38.0 or higher.

    Source: Phr00t/Qwen-Image-Edit-Rapid-AIO


    1. Source Precision: The author did not provide an FP16 version, so the INT8 and INT6 versions were converted from the FP8 version.

    2. Model Extraction: I only extracted the Diffusion Model part from the AIO version, and removed the Text Encoders and VAE parts.

    3. Personal Recommendation: I personally use the INT8 Convrot version frequently, and I often use it for editing tasks.

    4. About INT6 W6A8: W6A8 is a bit slower than INT8 Convrot (e.g., 43s vs. 39s), but the quality loss is acceptable and it has a smaller file size.

    5. About INT4/W4A8: Compared to the INT8 and W6A8 versions, the details of the INT4 and W4A8 versions are too poor, making the INT4 version almost unusable. I do not recommend trying any INT4/INT4 Mixed/INT4 W4A8 version of Qwen Image.

    6. Compared with Qwen Image 2.1: Although Qwen 1's details or textures are weaker than Qwen Image 2.1 and Qwen 1 is much slower, Qwen 1's prompt adherence is better.

    7. Issues: For various issues, embedded LoRAs, optimal parameter settings, etc., please check the original author's page. The greasy skin has been mentioned by other users on the original repo's Community page, and it is highly likely an issue with the embedded LoRAs.

    Disclaimer: This model belongs to Phr00t, I have not made any modifications to the original model myself, and I am only sharing the quantized version.

    Description

    Checkpoint
    Qwen

    Details

    Downloads
    35
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/6/2026
    Updated
    10/6/2026
    Deleted
    -

    Files

    qwenRAPIDNSFWV23INT8_int8Convrot.safetensors