Meshy V7 Text to 3D
ᠵᡠᠸᡝᠪᡠᠮᠪᡳ
meshy/v7/text-to-3d
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/meshy/v7/text-to-3d?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/meshy/v7/text-to-3d?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/meshy/v7/text-to-3d", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
# 1. Connect once (Claude Code; Cursor, VS Code, Claude Desktop: https://doitong.com/mnc/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.ru/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "meshy/v7/text-to-3d",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
}
Meshy V7 Text to 3D ᠮᠣᠳᡝᠯ (meshy/v7/text-to-3d) ᠪᡝ Doitong API ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ. ᠠᡤᡝᠨᡨᡳ ᡩᠠᡳᠯᠠᠨ: https://doitong.com/mnc/developers/models/meshy/v7/text-to-3d.md
POST https://api.doitong.ru/v1/run/meshy/v7/text-to-3d?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}
ᡝᡵᡝᠮᡝ ᠪᡠᠮᡝᠨᡳ ᠠᠨᠠᠮᡝ "queued" ᡳᠨᡠ "running" ᠪᡝ, GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20 ᠪᡝ ᠠᠨᠠᠮᡝ "succeeded" ᠪᡝᠴᡳ ᠠᠰᡠᠮᠪᡳ; ᡶᡳᠯᡝ ᠪᡝ outputs[].url ᠪᡝᠴᡳ ᠣᠨᡩᠣᠮᡝ. POST https://api.doitong.ru/v1/quote/meshy/v7/text-to-3d ᠪᡝ ᡝᠮᡠ ᠪᡠᠶᡝᠮᡝ ᠪᡝ ᠠᠰᡠᠮᠪᡳᡩᡝ ᠵᠠᠯᡤᠠᠨ ᠪᡝ ᠶᠠᠪᡠᠮᠪᡳ ᠰᡳᠨᡳ ᠠᠮᡤᠠ ᠠᠰᡠᠮᠪᡳ ᠣᠯᡥᠣᠮᡝ.
ᠵᠠᠨᡳ ᡥᠠᠯᠠᠮᠠ ᡥᡡᠯᠠᠨᡳ ᡶᡳᠯᡝ: $1.20 1,200 API ᠺᠷᡝᡩᡳᠲ · ≈ ₽129.10 ᠰᡳᠨᡳ ᡶᡳᠯᡝ ᠵᠠᠯᡤᠠᠨ ᠠᠰᡠᠮᠪᡳᠨᡳ ᠠᠯᡳᠮᠪᡳ ᡝᡵᡝ ᠵᠠᠯᡳᠨᡩᡝ ᠠᠰᡠᠮᠪᡳ
ᠰᡳᠨᡳ ᠵᠠᠮᡠᠰᡳᠨ API ᠵᡳᡵᡤᠠ. ᡝᠯᡝ ᡝᠨᡩᡝ ᡳᠯᡤᠠᠮᠪᡳ ᡝᡵᡝ ᠮᡠᠨᡩᡝ ᡴᠣᡩᡝ ᡩᠠᠮᡠ ᠮᡝᠨᡩᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᠠᠮᡪᡳ ᡳᠨᡠ API ᠵᡳᡵᡤᠠ ᡩᡝᠪᡨᡝᡵᡝ ᡩᡝ ᠠᡴᡠ᠉ ᡳᠨᡠ ᡝᡵᡝᠩᡤᡝ ᠠᠮᠪᠠᠨ ᠮᡠᠨᡩᡝ ᠪᡝ ᠠᠰᡠᡵᠠᠮᠪᡳ: ᠮᡠᡵᡝ ᡩᠠᠮᡠ ᠪᡠᠶᡝᡵᡝ ᠪᠠᡩᡝᠯᡝᠨ ᡩᡝ ᠰᡳᠨᡩᡝᠮᡝ ᠠᠪᡠᠮᡝ ᠰᠠᠮᡪᡳ᠉
ᡳᠨᡝ ᡝᠮᡠᠨᡳᠩᡤᡝ ᡝᡵᡝᠮᡝ ᡩᡝ
ᡝᡵᡝ ᠵᡠᠯᡝᠨ ᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠪᠠᠶᠠᠨᠠᠮᡝ ᠠᠮᡪᠠᠯᠠ ᡶᡳᠯᡝᠮᡝ ᠪᡝᠶᡝᠮᡝ᠃ API ᠵᡳᡵᡤᠠᡳ ᡤᠠᡳᡥᠠᡩᡝ ᡤᡝᡪᡳᠯᡝᠨ ᠵᠠᠯᠠᠨᠠᠮᡝ ᠪᡠᠶᡝᠮᡝ ᠮᡠᠰᡝᡳ ᠰᡠᠯᡠᠨᡩᡝ ᠪᠠᠶᠠᠨᠠᠮᡝ᠂ ᠮᡤᡳ ᠮᡠᠰᡝ ᠠᠶᠠᠨ 7 ᡥᠠᠨ ᠰᠠᡳᠨᠠᠮᡝ᠃
ᡤᡳᠰᡠᠨ ᠪᡠᠶᡝᠮᡝ
ᠵᠠᡴᡠᠨᡳ ᠵᡠᠯᡝ ᡩᡝᡵᡤᡳ ᡩᡝᠪᡝᠰᡠᠮᡝ ᠵᡠᠯᡤᡝ ᠪᡠᠶᡝᠮᡝ᠈ ᡳᠨᡳ ᡤᡳᠰᡠᠨ ᠪᠠᡳ ᡝᠨᡝᠩᡤᡳ ᠠᠮᠪᡳ
/run/meshy/v7/text-to-3d?wait=20
ᠵᠠᠯᡳᠨ → $1.20
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.ru/v1/run/meshy/v7/text-to-3d?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.ru/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/meshy/v7/text-to-3d?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.ru/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/meshy/v7/text-to-3d", params={"wait": 20}, json=payload, headers=headers)
request = r.json()
if not r.ok:
raise RuntimeError(request["error"]["code"] + ": " + request["error"]["message"])
# Not finished yet: long-poll until it is
while request["status"] in ("queued", "running"):
request = requests.get(API + "/requests/" + request["id"], params={"wait": 20}, headers=headers).json()
if request["status"] != "succeeded":
raise RuntimeError(request["error"])
print([o["url"] for o in request["outputs"]], request["cost"]["credits"], "API credits", "$" + request["cost"]["usd"])
{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run",
"arguments": {
"model_id": "meshy/v7/text-to-3d",
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"wait_seconds": 20
}
}
}
ᡝᠨᡳ ᠵᠠᠯᡳᠨ ᠪᡝ ᠵᠠᠯᠠᠨᠠᠮᡝ
ᡳᠨᡝ ᠵᠠᠯᠠᠨ ᡝᡵᡝ ᠪᡠᡵᡝᠪᡝᡵᡳ ᡩᡝ ᠪᡳᠮᡝ᠈ Doitong API ᡩᡝ ᠵᡝᠯᡤᡳ ᡩᠠᡵᠠᠮᡝ᠈ Remember ᠵᡠᠯᡝᠮᡝ ᡤᡳᠯᠠᠮᡝ localStorage ᡩᡝ ᠰᡠᠯᡝᠮᡝ ᠪᡳᠮᡝ API ᠵᠠᠯᠠᠨ ᠠᠪᠠᠮᡝ
Meshy V7 Text to 3D ᡠᡵᡝᠮᡝ
600 ᡥᡝᠵᡝᠨ ᡳ ᡠᠯᡥᡳ `prompt` ᡩᡝᠷᡝ 3D ᡤᡝᠣᠮᡝᠯᡝᠨ ᡤᡝᠨᡝᠮᡝ ᠪᡳᠮᠪᡳ᠂ `enable_prompt_expansion` ᠪᡝ ᡠᠯᡥᡳᠨ ᠪᡳᠮᠪᡳ᠉ `mode` ᡠᠨᡩᡝᠨᡳ ᡤᡝᠣᠮᡝᠯᡝᠨ ᠪᡝ ᡩᠣᠰᡳᡴᠠᠨ ᠪᡝ ᡤᡝᠣᠮᡝᠯᡝᠨ ᠵᡠᠯᡝᡵᡳ ᠪᡳᠮᠪᡳ᠉ `model_type` ᡳ ᠵᡠᠶᡝᠨ standard᠂ lowpoly ᠪᡝ smart-topology᠂ `target_polycount` 100 ᡩᡡᡵᡝ 300000 ᡩᡝ᠂ `geometry_resolution` standard ᠪᡝ 2k ᠪᡳ᠉ ᡥᡡᠯᡥᡝᠨ ᡩᠣᡵᡤᡳ ᡥᡡᠯᡥᡝᠨ ᡳ ᡤᡝᠪᡠ ᠪᡝ ᡤᡝᠪᡠ ᠵᡠᠯᡝᡵᡳ ᠪᡳᠮᠪᡳ᠉
ᠵᠠᡴᡠᠨ
promptᡴᠠᠷᠠᡴᡡ
modeᠵᡠᠯᡝ
seedᠵᡠᠯᡝ
model_typeᠵᡠᠯᡝ
topologyᠵᡠᠯᡝ
target_polycountᠵᡠᠯᡝ
should_remeshᠵᡠᠯᡝ
symmetry_modeᠵᡠᠯᡝ
enable_pbrᠵᡠᠯᡝ
is_a_t_poseᠵᡠᠯᡝ
pose_modeᠵᡠᠯᡝ
enable_prompt_expansionᠵᡠᠯᡝ
texture_promptᠵᡠᠯᡝ
texture_image_urlᠵᡠᠯᡝ
enable_riggingᠵᡠᠯᡝ
rigging_height_metersᠵᡠᠯᡝ
enable_animationᠵᡠᠯᡝ
animation_action_idᠵᡠᠯᡝ
enable_safety_checkerᠵᡠᠯᡝ
geometry_resolutionᠵᡠᠯᡝ
ultra_modeᠵᡠᠯᡝ
ᠪᡠᠮᠪᡳᠯᡝᠰᡝ ᡝᠮᡠ ᡤᡝᠮᡠᠨᡳ https:// URL᠈ 10 MB ᡩᡝ ᡩᡝᠷᡤᡳ data: URI ᠵᡝᡵᡤᡳ ᡝᠮᡝ᠈ ᡳᠨᡝ ᠪᡠᠮᠪᡳᠯᡝᠰᡝᠨᡳ file_url ᠠᠪᠠᠮᠪᡳ ᠪᡠᠮᠪᡳ
ᠪᡠᠶᡝᠮᡝ
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "meshy/v7/text-to-3d",
"status": "succeeded",
"created_at": "2026-10-20T12:00:00Z",
"started_at": "2026-10-20T12:00:02Z",
"completed_at": "2026-10-20T12:00:09Z",
"queue_position": null,
"cost": {
"credits": 1200,
"usd": "1.20",
"charged": 1200,
"refunded": 0
},
"input": {
"prompt": "A red fox trots through fresh snow at sunrise, soft golden light, shallow depth of field"
},
"output": {
"animation_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"animation_fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"model_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"thumbnail": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"model_urls": {
"glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"obj": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"usdz": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"blend": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"stl": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
},
"texture_urls": [
{
"base_color": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"metallic": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"normal": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"roughness": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
}
],
"seed": 42,
"prompt": "A rustic, antique wooden treasure chest with a curved, domed lid, constructed from weathered, dark brown planks exhibiting prominent wood grain and subtle distress. It's heavily reinforced with broad, dark grey, oxidized metal bands secured by numerous circular rivets. Ornate, dark iron decorative elements featuring swirling foliate patterns and dragon motifs adorn the corners and lid. A prominent, circular, intricately carved metal lock plate with a central keyhole dominates the front, flanked by two large, dark metallic pull rings.",
"actual_prompt": "string",
"rigged_character_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"rigged_character_fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"basic_animations": {
"walking_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"walking_fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"walking_armature_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"running_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"running_fbx": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
},
"running_armature_glb": {
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_name": "0-output.jpeg",
"file_size": 1843200
}
},
"rig_task_id": "string"
},
"outputs": [
{
"type": "file",
"url": "https://content.doitong.com/dev-api/2026/10/20/req_8k2m4q7x1z9c3v5b6n0p2r4t/0-output.jpeg",
"content_type": "image/jpeg",
"file_size": 1843200,
"stored": true
}
],
"error": null,
"metrics": {
"inference_seconds": 6.8
},
"urls": {
"self": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.ru/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
ᠪᡠᠶᡝᠮᡝᠨᡳ ᡤᡳᠰᡠᠨ
- animation_glb
- object {url, content_type, file_name, file_size} | null3D ᠮᠣᠳᡝᠯ GLB ᠪᡝ ᠵᡠᠯᡝ ᡳ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠠᡵᠠᠮᠪᡳ; enable_animation ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡝᠮᡠ ᠠᠯᡳᠨ ᠪᡳ᠈
- animation_fbx
- object {url, content_type, file_name, file_size} | null3D ᠮᠣᠳᡝᠯ FBX ᠪᡝ ᠵᡠᠯᡝ ᡳ ᠠᠨᡳᠮᠠᡨᡳᠣᠨ ᠠᡵᠠᠮᠪᡳ; enable_animation ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᡝᠮᡠ ᠠᠯᡳᠨ ᠪᡳ᠈
- model_glb
- object {url, content_type, file_name, file_size}ᠪᡠᠶᡝᠮᡝ ᡳ 3D ᠪᡝᠶᡝ ᠪᡝ ᠪᡠᠮᡝ GLB ᡶᡳᠯᡝ᠉
- thumbnail
- object {url, content_type, file_name, file_size} | nullᠪᡠᠶᡝᠮᡝ ᡳ ᠮᠣᠳᡝᠯ ᡳ ᠵᡠᠯᡝ ᠪᡝ ᠵᠠᠯᠠᠨ᠉
- model_urls
- object {glb, fbx, obj, usdz, blend, stl}3D ᠮᠣᠳᡝᠯ ᡳ ᡩᠠᠪᠠᠨ ᡩᡝᠨ ᡩᡝ ᠵᡠᠯᡝ ᠯᡳᠨᡴ᠉
- texture_urls
- array of object {base_color, metallic, normal, roughness}ᡝᠮᡠ ᠵᡠᠰᡠᠨ ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᡥᠠᡩᠠᠨ ᡶᡳᠯᡝᠰᡝ᠈
- seed
- integer | nullᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠪᡠᠮᡝᠨᡳ ᠰᡝᡵᡝᠨᡳ ᠵᠠᡴᡠᠨ.
- prompt
- stringᠪᡠᠶᡝᠮᡝᠨ ᡳ ᡥᡡᠯᠠᠨ ᠪᡠᠶᡝᠮᡝ᠈
- actual_prompt
- string | nullᡥᡡᠯᠠᠨ expansion ᠵᡠᠯᡝᠮᡝ ᠪᡳ ᠣᠴᡳ ᠪᡠᠶᡝᠮᡝᠨ ᡩᡝ ᠵᡠᠯᡝᠮᡝ ᠪᡳ ᡥᡡᠯᠠᠨ᠈
- rigged_character_glb
- object {url, content_type, file_name, file_size} | nullᠵᠠᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ GLB ᡶᡝᡵᡤᡠᠰᡠᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠣᠮᡳ᠈
- rigged_character_fbx
- object {url, content_type, file_name, file_size} | nullᠵᠠᠯᡳᠨ ᠵᡠᠯᡝᠮᡝ FBX ᡶᡝᡵᡤᡠᠰᡠᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᡝᡵᡝ ᠪᡠᠶᡝᠮᡝ ᡩᡝ ᠣᠮᡳ᠈
- basic_animations
- object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} | nullenable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᠵᡠᠯᡝ ᠶᠠᠪᡠᠮᡝ ᠠᠮᡠᠯᠠ ᠪᡳᠮᠪᡳ᠈
- rig_task_id
- string | nullᠵᠠᠯᡳᠨ ᠠᡵᠠᠮᡝᠨ ᡳ ᡩᠠᠯᡳᠮᡝᠨ; enable_rigging ᠰᡠ ᡩᡝ ᠪᡳ ᠣᠴᡳ ᠪᡳᠮᠪᡳ᠈
ᡝᠯᡤᡳ Meshy v7 ᡠᠯᡤᡳᠨ
ᡝᠯᡤᡳ ᡩᠠᠯᡳᠨ: ᡥᡡᠯᠠᠨ ᡩᡝ 3D
AI ᠠᡤᡝᠨᡨᡳ ᡠᠴᡠᠷᡳ᠈ ᡝᡵᡝ ᡩᡝᠪᡝᡵᡳ Markdown ᠰᡳᠨᡩᠠᡵᡳ https://doitong.com/mnc/developers/models/meshy/v7/text-to-3d.md. ᡝᡵᡝ ᠮᠣᡩᡝᠯ ᠵᠠᡴᡠᠨ ᠰᡠᠯᡠᠮᡝ https://doitong.com/developers/llms.txt