qwen-yarn-art-lora-v2-lora

Instala las dependencias y carga el adaptador LoRA sobre Qwen-Image:

pip install -U diffusers transformers accelerate

import torch
from diffusers import DiffusionPipeline
from diffusers.utils import export_to_video

# Cambia a "mps" para dispositivos Apple
pipe = DiffusionPipeline.from_pretrained(
    "Qwen/Qwen-Image",
    dtype=torch.bfloat16,
    device_map="cuda"
)
pipe.load_lora_weights("linoyts/qwen-yarn-art-lora-v2-lora")

prompt = "yarn art style"
output = pipe(prompt=prompt).frames[0]
export_to_video(output, "output.mp4")

También puede cargarse un archivo de pesos específico para producir una imagen:

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained(
    'Qwen/Qwen-Image',
    torch_dtype=torch.float16
).to('cuda')
pipeline.load_lora_weights(
    'linoyts/qwen-yarn-art-lora-v2-lora',
    weight_name='qwen-yarn-art-lora-v2_000000250.safetensors'
)
image = pipeline('yarn art style').images[0]
image.save("my_image.png")