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xilanhua12138/
Wan2.1-T2V-1.3B-Reward

Name: Wan2.1-T2V-1.3B-Reward
Availability: InStock

diffusers

safetensors

text-to-video

Wan-AI/Wan2.1-T2V-1.3B

finetune

apache-2.0

WanPipeline

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Quik Start

python

import torch
from diffusers import AutoencoderKLWan, WanPipeline
from diffusers.utils import export_to_video
model_id = "xilanhua12138/Wan2.1-T2V-1.3B-Reward"
vae = AutoencoderKLWan.from_pretrained(model_id, subfolder="vae", torch_dtype=torch.float32)
pipe = WanPipeline.from_pretrained(model_id, vae=vae, torch_dtype=torch.bfloat16)
pipe.to("cuda")
prompt = "A cat walks on the grass, realistic"
negative_prompt = "Bright tones, overexposed, static, blurred details, subtitles, style, works, paintings, images, static, overall gray, worst quality, low quality, JPEG compression residue, ugly, incomplete, extra fingers, poorly drawn hands, poorly drawn faces, deformed, disfigured, misshapen limbs, fused fingers, still picture, messy background, three legs, many people in the background, walking backwards"
output = pipe(
    prompt=prompt,
    negative_prompt=negative_prompt,
    height=480,
    width=832,
    num_frames=81,
    guidance_scale=5.0
).frames[0]
export_to_video(output, "output.mp4", fps=15)

384x672 Resolution

Original	After Reward

480x832 Resolution

Original	After Reward