How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
from diffusers.utils import load_image, export_to_video

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.1-I2V-14B-480P", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("joyfox/wan2.1_I2V480P_fenshengshu_lora")

prompt = "镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果"
input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/guitar-man.png")

image = pipe(image=input_image, prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

fenshengshu

Prompt
镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果
Prompt
镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果
Prompt
镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果
Prompt
镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果

Model description

1.webp 2.webp 3.webp 4.webp

Trigger words

You should use 镜头快速拉远,人物快速分裂出三个做着相同战斗姿势的影分身,站成一排,全身一直散发着浓烈的金色能量,分身保持人物一致性,令人惊叹的视觉效果 to trigger the image generation.

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