Meshy V7 Text to 3D
Integrer
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/no/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"
}
}
Kall Meshy V7 Text to 3D-modellen (meshy/v7/text-to-3d) gjennom Doitong API. Dokumentasjon for agenter: https://doitong.com/no/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"
}
Hvis responsstatusen er "queued" eller "running", send GET https://api.doitong.ru/v1/requests/REQUEST_ID?wait=20-forespørsler til den er "succeeded"; filene ligger i outputs[].url. POST https://api.doitong.ru/v1/quote/meshy/v7/text-to-3d med samme innhold returnerer den nøyaktige prisen før kjøringen.
Filer som eksempelet: 1,20 $ 1 200 API-kreditter · ≈ 129,10 ₽ filene dine måles før kjøring Kjør den på denne siden
Din nye API-nøkkel. Den vises bare nå og er allerede satt inn i koden og i API-nøkkelfeltet nedenfor. Hold den hemmelig: Legg den aldri i kode som kjører i en nettleser.
Det første resultatet ditt kommer her
Bygg en forespørsel nedenfor og kjør den med API-nøkkelen din. Utdata kopieres til lagringen vår, lagret for alltid eller 7 dager gratis.
Bygg en forespørsel
Kontrollene genereres fra modellskjemaet. Koden og prisen oppdateres når du endrer dem.
/run/meshy/v7/text-to-3d?wait=20
pris → 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
}
}
}
Kjør denne forespørselen
Nøkkelen din blir i denne nettleseren: Den sendes bare til Doitong API og lagres bare i localStorage hvis du krysser av for Husk. Hent en API-nøkkel
Om Meshy V7 Text to 3D
Genererer en 3D-modell fra en `prompt` på opptil 600 tegn, med valgfri `enable_prompt_expansion`. `mode` returnerer enten uteksturert geometri eller en teksturert modell. Velg standard, lowpoly eller smart-topology via `model_type`, angi `target_polycount` fra 100 til 300000, og velg standard eller 2k `geometry_resolution`. Rigging og animasjonsforhåndsinnstillinger kan legges til for humanoide figurer.
Parametere
promptobligatorisk
modevalgfritt
seedvalgfritt
model_typevalgfritt
topologyvalgfritt
target_polycountvalgfritt
should_remeshvalgfritt
symmetry_modevalgfritt
enable_pbrvalgfritt
is_a_t_posevalgfritt
pose_modevalgfritt
enable_prompt_expansionvalgfritt
texture_promptvalgfritt
texture_image_urlvalgfritt
enable_riggingvalgfritt
rigging_height_metersvalgfritt
enable_animationvalgfritt
animation_action_idvalgfritt
enable_safety_checkervalgfritt
geometry_resolutionvalgfritt
ultra_modevalgfritt
Filparametere tar imot en offentlig https:// URL, en data: URI på opptil 10 MB eller file_url fra en opplasting. Filer
Utdata
{
"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"
}
}
Utdatafelt
- animation_glb
- object {url, content_type, file_name, file_size} | nullAnimasjonsresultat som inneholder 3D-modellen som GLB; responsen utelater dette resultatet med mindre enable_animation er true.
- animation_fbx
- object {url, content_type, file_name, file_size} | nullAnimasjonsresultat som inneholder 3D-modellen som FBX; responsen utelater dette resultatet med mindre enable_animation er true.
- model_glb
- object {url, content_type, file_name, file_size}GLB-fil som inneholder det genererte 3D-objektet.
- thumbnail
- object {url, content_type, file_name, file_size} | nullMiniatyrbilde som viser en forhåndsvisning av den genererte modellen.
- model_urls
- object {glb, fbx, obj, usdz, blend, stl}Lenker til 3D-modellen i ulike formater.
- texture_urls
- array of object {base_color, metallic, normal, roughness}Teksturfiler representert som en matrise med objekter.
- seed
- integer | nullSeed-verdi brukt under genereringen.
- prompt
- stringTekstprompt oppgitt for generering.
- actual_prompt
- string | nullPrompten som faktisk ble brukt til generering da promptutvidelse var aktivert.
- rigged_character_glb
- object {url, content_type, file_name, file_size} | nullRiggingresultat levert som en GLB-karakterfil; fraværende fra responsen med mindre enable_rigging er true.
- rigged_character_fbx
- object {url, content_type, file_name, file_size} | nullRiggingresultat levert som en FBX-karakterfil; fraværende fra responsen med mindre enable_rigging er true.
- basic_animations
- object {walking_glb, walking_fbx, walking_armature_glb, running_glb, running_fbx, running_armature_glb} | nullGrunnleggende gå- og løpeanimasjoner, inkludert bare hvis enable_rigging er true.
- rig_task_id
- string | nullIdentifikator for riggingoppgaven; inkludert bare hvis enable_rigging er true.
Andre Meshy v7-varianter
Flere modeller: Tekst til 3D
For AI-agenter: Denne siden som Markdown finnes på https://doitong.com/no/developers/models/meshy/v7/text-to-3d.md. Alle modeller og veiledninger: https://doitong.com/developers/llms.txt