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chfm/Wan-2.2-Remix-GGUF overview

This is the direct conversion to GGUF from the model Wan2.2 Remix T2V&I2V https://civitai.com/models/2003153 ==================================================…

gguflicense:apache-2.0region:us

Runs locally from ~6.68 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).

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Repository Files & Downloads

60 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q8_0.ggufGGUFQ8_014.35 GBDownload
I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q6_K.ggufGGUFQ6_K11.18 GBDownload
I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q8_0.ggufGGUFQ8_014.35 GBDownload
T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q6_K.ggufGGUFQ6_K11.18 GBDownload
T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q8_0.ggufGGUFQ8_014.35 GBDownload
T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q6_K.ggufGGUFQ6_K11.18 GBDownload
T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q8_0.ggufGGUFQ8_014.35 GBDownload
T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q6_K.ggufGGUFQ6_K11.18 GBDownload
T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q8_0.ggufGGUFQ8_014.35 GBDownload
T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q3_K_M.ggufGGUFQ3_K_M6.68 GBDownload
T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q4_K_M.ggufGGUFQ4_K_M8.99 GBDownload
T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q5_K_M.ggufGGUFQ5_K_M10.05 GBDownload
T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q6_K.ggufGGUFQ6_K11.18 GBDownload
T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q8_0.ggufGGUFQ8_014.35 GBDownload

Model Details

Model IDchfm/Wan-2.2-Remix-GGUF
Authorchfm
Pipeline
Licenseapache-2.0
Base model
Last modified2026-07-03T07:58:15.000Z

Model README

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license: apache-2.0

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This is the direct conversion to GGUF from the model Wan2.2-Remix (T2V&I2V) - https://civitai.com/models/2003153

===================================================================================

if you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau

| You get | I get |

| --- | --- |

| - A one-time credit of $5 when they sign up with your link and adds $10 for the first time<br>- Instant access to Runpod's GPU resources | - A one-time credit of $5 when a user signs up with your link and adds $10 for the first time<br>- Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods)|

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