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 ==================================================…
Runs locally from ~6.68 GB disk (8 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v0.8/High/wan22RemixT2VI2V_i2vHighnoiseV08_Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v0.8/Low/wan22RemixT2VI2V_i2vLownoiseV08_Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v2.0/High/wan22RemixT2VI2V_i2vHighV20-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v2.0/Low/wan22RemixT2VI2V_i2vLowV20-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v2.1/High/wan22RemixT2VI2V_i2vHighV21-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v2.1/Low/wan22RemixT2VI2V_i2vLowV21-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v3.0/High/wan22RemixT2VI2V_i2vHighV30-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| I2V/v3.0/Low/wan22RemixT2VI2V_i2vLowV30-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| T2V/v1.0/High/wan22RemixT2VI2V_t2vHighnoiseV10_Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| T2V/v1.0/Low/wan22RemixT2VI2V_t2vLownoiseV10_Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| T2V/v2.0/High/wan22RemixT2VI2V_t2vHighV20-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
| T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q3_K_M.gguf | GGUF | Q3_K_M | 6.68 GB | Download |
| T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q4_K_M.gguf | GGUF | Q4_K_M | 8.99 GB | Download |
| T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q5_K_M.gguf | GGUF | Q5_K_M | 10.05 GB | Download |
| T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q6_K.gguf | GGUF | Q6_K | 11.18 GB | Download |
| T2V/v2.0/Low/wan22RemixT2VI2V_t2vLowV20-Q8_0.gguf | GGUF | Q8_0 | 14.35 GB | Download |
Model Details
Model README
---
license: apache-2.0
---
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)|
Run chfm/Wan-2.2-Remix-GGUF with guIDE
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Source: Hugging Face · Compare models