Wanime 14B β I2V + T2V Anime Models for WanGP
This repo contains both Image-to-Video (I2V) and Text-to-Video (T2V) versions of the Wanime 14B anime-style motion model, optimized for WanGP. These models are based on the original release by Zazc and converted to .safetensors
format for secure local use.
π¦ Files Included
Model Type | Format | Filename |
---|---|---|
I2V | FP16 | Wanime-I2V-14B-480P_fp16_pure.safetensors |
I2V | INT8 | Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors |
T2V | FP16 | Wanime-T2V-14B_fp16_pure.safetensors |
T2V | INT8 | Wanime-T2V-14B_quanto_fp16_int8.safetensors |
π How to Use in WanGP
Place all
.safetensors
files in:
D:/pinokio/api/wan.git/app/ckpts/
Then use these JSON finetune definitions in:
D:/pinokio/api/wan.git/app/finetunes/
πΉ I2V Finetune JSON (wan_i2v_wanime14B_480p.json
)
{
"model": {
"name": "Wanime I2V 14B 480P",
"architecture": "i2v",
"description": "Anime-style Wan2.1 14B image-to-video model (480p baseline).",
"URLs": [
"Wanime-I2V-14B-480P_fp16_pure.safetensors",
"Wanime-I2V-14B-480P_quanto_fp16_int8.safetensors"
],
"modules": [],
"auto_quantize": false
},
"prompt": "",
"negative_prompt": "out of frame, cropped, error, low quality, watermark",
"resolution": "832x480",
"video_length": 81,
"guidance_scale": 1.0,
"num_inference_steps": 8
}
πΉ T2V Finetune JSON (wan_t2v_wanime14B.json
)
{
"model": {
"name": "Wanime T2V 14B",
"architecture": "t2v",
"description": "Anime-style Wan2.1 14B text-to-video model.",
"URLs": [
"Wanime-T2V-14B_fp16_pure.safetensors",
"Wanime-T2V-14B_quanto_fp16_int8.safetensors"
],
"modules": [],
"auto_quantize": false
},
"prompt": "",
"negative_prompt": "out of frame, cropped, error, low quality, watermark",
"resolution": "832x480",
"video_length": 81,
"guidance_scale": 7.5,
"num_inference_steps": 10
}
π‘ Prompt Ideas
- βA mysterious anime girl walking across a glowing bridge at night, dramatic camera panβ
- βA side-scrolling mecha battle in a ruined city, 80s anime styleβ
- βA child running through falling sakura petals, slow motion, cinematicβ
β¨ Notes
- Use INT8 models for faster performance and lower VRAM use
- Compatible with WanGP 2.1+ local UI via
--multiple-images
or--t2v
launch mode - FP16 models recommended for 3090/4090-class GPUs
- This is a newly prepped finetune for WanGP and may require experimentation with guidance scale, step count, and prompt format to achieve optimal results.
π§© Credits
- Original model: Zazc on Civitai
- Base backbone: Wan 2.1 14B
- Conversion & formatting: hdtrnk
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