Meshy 7 API
Meshy 7 3D 生成模型的完整 API 参考文档。
模型版本
接口端点
POST /api/v1/3d/task
GET /api/v1/3d/{task_id}
Meshy 7 文本生成 3D
必填参数
可选参数
请求示例
const response = await fetch('https://api.flaq.ai/api/v1/3d/task', {
method: 'POST',
headers: {
Authorization: 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model_name: 'meshy-v7-text-to-3d',
prompt: 'A stylized red panda explorer wearing a small canvas backpack',
topology: 'quad',
remesh: true,
symmetry_mode: 'auto',
pose_mode: 'a-pose',
pbr: true,
texture_prompt: 'Hand-painted fur and weathered canvas with warm autumn colors',
texture_image: 'https://example.com/red-panda-texture.png',
}),
});
const { data } = await response.json();
const taskId = data.task_id;
Meshy 7 图片生成 3D
必填参数
可选参数
请求示例
const response = await fetch('https://api.flaq.ai/api/v1/3d/task', {
method: 'POST',
headers: {
Authorization: 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model_name: 'meshy-v7-image-to-3d',
image_url: 'https://example.com/ceramic-lamp.png',
topology: 'triangle',
remesh: true,
symmetry_mode: 'auto',
pose_mode: 'a-pose',
pbr: true,
texture_prompt: 'Glazed blue ceramic with subtle gold details',
texture_image: 'https://example.com/ceramic-reference.png',
}),
});
const { data } = await response.json();
const taskId = data.task_id;
Meshy 7 多视图生成 3D
必填参数
可选参数
请求示例
const response = await fetch('https://api.flaq.ai/api/v1/3d/task', {
method: 'POST',
headers: {
Authorization: 'Bearer YOUR_API_KEY',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model_name: 'meshy-v7-multiview-to-3d',
images: [
'https://example.com/chair-front.png',
'https://example.com/chair-side.png',
'https://example.com/chair-back.png',
],
topology: 'quad',
remesh: true,
symmetry_mode: 'auto',
pbr: true,
texture_prompt: 'Natural walnut wood and woven cream fabric',
texture_image: 'https://example.com/chair-material-reference.png',
}),
});
const { data } = await response.json();
const taskId = data.task_id;
响应格式
提交任务
{
"code": 0,
"message": "success",
"data": {
"task_id": "{task_id}",
"response_url": "https://api.flaq.ai/api/v1/3d/{task_id}",
"task_status": "submitted"
}
}
查询任务状态
const response = await fetch('https://api.flaq.ai/api/v1/3d/{task_id}', {
headers: { Authorization: 'Bearer YOUR_API_KEY' },
});
const { data } = await response.json();
console.log(data.task_status);
已完成的任务
{
"code": 0,
"message": "success",
"data": {
"task_id": "{task_id}",
"response_url": "https://api.flaq.ai/api/v1/3d/{task_id}",
"task_status": "succeed",
"task_status_msg": null,
"task_result": {
"credit": 0.2,
"files": [{ "url": "https://example.com/generated-model.glb" }]
}
}
}
任务状态值
submitted:任务已提交。
processing:任务正在处理中。
succeed:任务已成功完成。
failed:任务失败。