i2v服务化部署时，如何通过传参修改推理时的参数，例如生成视频分辨率和推理步长等？

[Jingwei-Bao]

现在好像是直接在部署时就通过config文件写死了，不支持指定的分辨率推理

[Jingwei-Bao]

是否可以支持传递lora_config参数，指定lora权重进行热加载？现在的代码似乎无法实现

[Jingwei-Bao]

示例的scripts/server/post_i2v.py：
import base64

import requests
from loguru import logger

def image_to_base64(image_path):
"""Convert an image file to base64 string"""
with open(image_path, "rb") as f:
image_data = f.read()
return base64.b64encode(image_data).decode("utf-8")

if name == "main":
url = "http://localhost:8000/v1/tasks/"

message = {
    "prompt": "Summer beach vacation style, a white cat wearing sunglasses sits on a surfboard. The fluffy-furred feline gazes directly at the camera with a relaxed expression. Blurred beach scenery forms the background featuring crystal-clear waters, distant green hills, and a blue sky dotted with white clouds. The cat assumes a naturally relaxed posture, as if savoring the sea breeze and warm sunlight. A close-up shot highlights the feline's intricate details and the refreshing atmosphere of the seaside.",
    "negative_prompt": "镜头晃动，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
    "image_path": image_to_base64("assets/inputs/imgs/img_0.jpg"),  # 图片地址
}

logger.info(f"message: {message}")

response = requests.post(url, json=message)

logger.info(f"response: {response.json()}")

能否在message中传lora配置等参数动态加载？
例如：
message = {
"prompt": "...",
"negative_prompt": "...",
"image_path": "https://....//image_1.jpg",
"lora_configs": [
{
"name": "high_noise_model",
"path": "../high_epoch-3_lightx2v.safetensors",
"strength": 1.0
}
]
}

[happened]

+1