Trellis 2
Integracija
trellis-2
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/trellis-2?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/trellis-2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/trellis-2", 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/sl/developers/docs/mcp)
claude mcp add --transport http doitong-models https://api.doitong.com/v1/mcp \
--header "Authorization: Bearer $DOITONG_API_KEY"
# 2. Your agent calls the "run" tool with:
{
"model_id": "trellis-2",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
}
Pokličite model Trellis 2 (trellis-2) prek Doitong API. Dokumentacija za agente: https://doitong.com/sl/developers/models/trellis-2.md
POST https://api.doitong.com/v1/run/trellis-2?wait=20
Authorization: Bearer $DOITONG_API_KEY
Content-Type: application/json
{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}
Če je stanje odgovora "queued" ali "running", pošiljajte poizvedbe GET https://api.doitong.com/v1/requests/REQUEST_ID?wait=20, dokler ni "succeeded"; datoteke so v outputs[].url. POST https://api.doitong.com/v1/quote/trellis-2 z enakim telesom vrne natančno ceno pred zagonom.
Ta zahteva: 0,30 $ 300 API kreditov Zaženi na tej strani
Vaš novi ključ API. Prikazan je samo zdaj in je že v kodi ter v spodnjem polju ključa API. Hranite ga kot skrivnost: nikoli ga ne vključite v kodo, ki se izvaja v brskalniku.
Tukaj bo vaš prvi rezultat
Spodaj sestavite zahtevo in jo zaženite s svojim ključem API. Izhodi se kopirajo v našo shrambo, kjer se hranijo za vedno ali 7 dni brezplačno.
Ustvari zahtevo
Kontrolniki se ustvarijo iz sheme modela. Koda in cena se posodobita, ko ju spreminjate.
/run/trellis-2?wait=20
cena → 0,30 $
# Run the model; wait up to 20 s for the finished result in the same call
curl -X POST "https://api.doitong.com/v1/run/trellis-2?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}'
# Still "queued" or "running"? Poll with the id from the response:
curl "https://api.doitong.com/v1/requests/REQUEST_ID?wait=20" \
-H "Authorization: Bearer $DOITONG_API_KEY"
const API = "https://api.doitong.com/v1";
const headers = {
"Authorization": "Bearer " + process.env.DOITONG_API_KEY,
"Content-Type": "application/json",
};
// Run the model; wait up to 20 s for the finished result in the same call
let res = await fetch(API + "/run/trellis-2?wait=20", {
method: "POST",
headers,
body: JSON.stringify({
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
}),
});
let request = await res.json();
if (!res.ok) throw new Error(request.error.code + ": " + request.error.message);
// Not finished yet: long-poll until it is
while (request.status === "queued" || request.status === "running") {
res = await fetch(API + "/requests/" + request.id + "?wait=20", { headers });
request = await res.json();
}
if (request.status !== "succeeded") throw new Error(JSON.stringify(request.error));
console.log(request.outputs.map((o) => o.url), request.cost.credits + " API credits ($" + request.cost.usd + ")");
import os
import requests
API = "https://api.doitong.com/v1"
headers = {"Authorization": "Bearer " + os.environ["DOITONG_API_KEY"]}
payload = {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg",
}
# Run the model; wait up to 20 s for the finished result in the same call
r = requests.post(API + "/run/trellis-2", 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": "trellis-2",
"input": {
"image": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"wait_seconds": 20
}
}
}
Zaženi to zahtevo
Vaš ključ ostane v tem brskalniku: pošlje se samo v Doitong API in shrani v localStorage samo, če označite možnost Zapomni si. Pridobi ključ API
O modelu Trellis 2
Ustvari 3D-sredstvo iz ene slike (`image_url`) in vrne datoteko GLB. `resolution` je 512, 1024 ali 1536, `texture_size` pa 1024, 2048 ali 4096. Vsaka od treh stopenj (struktura, oblika, tekstura) ima lastne nastavitve vodenja in vzorčevalnih korakov. `decimation_target` določa število oglišč mreže (5,000 do 2,000,000), na voljo pa so tudi možnosti ponovne izdelave mreže in razvitja UV.
Parametri
Pošlji kanonično ali izvorno ime, ne obeh. Kanonična imena
seedneobvezno
resolutionneobvezno
ss_guidance_strengthneobvezno
ss_guidance_rescaleneobvezno
ss_guidance_interval_startneobvezno
ss_guidance_interval_endneobvezno
ss_sampling_stepsneobvezno
ss_rescale_tneobvezno
shape_slat_guidance_strengthneobvezno
shape_slat_guidance_rescaleneobvezno
shape_slat_guidance_interval_startneobvezno
shape_slat_guidance_interval_endneobvezno
shape_slat_sampling_stepsneobvezno
shape_slat_rescale_tneobvezno
tex_slat_guidance_strengthneobvezno
tex_slat_guidance_rescaleneobvezno
tex_slat_guidance_interval_startneobvezno
tex_slat_guidance_interval_endneobvezno
tex_slat_sampling_stepsneobvezno
tex_slat_rescale_tneobvezno
decimation_targetneobvezno
texture_sizeneobvezno
remeshneobvezno
remesh_bandneobvezno
remesh_projectneobvezno
uv_unwrap_angle_threshold_degneobvezno
uv_unwrap_refine_iterationsneobvezno
uv_unwrap_global_iterationsneobvezno
uv_unwrap_smooth_strengthneobvezno
image_urlobvezno
image
Parametri datotek sprejmejo javni https:// URL, podatkovni URI data: do 10 MB ali file_url naložene datoteke. Datoteke
Izhod
{
"id": "req_8k2m4q7x1z9c3v5b6n0p2r4t",
"object": "request",
"model": "trellis-2",
"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": 300,
"usd": "0.30",
"charged": 300,
"refunded": 0
},
"input": {
"image_url": "https://content.doitong.com/images/showcase/v3/gen_fox_cartoon.jpg"
},
"output": {
"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
}
},
"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.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t",
"cancel": "https://api.doitong.com/v1/requests/req_8k2m4q7x1z9c3v5b6n0p2r4t/cancel"
}
}
Polja izhoda
- model_glb
- object {url, content_type, file_name, file_size}3D-model, ustvarjen v obliki GLB.
Druge različice Trellis 2
Več modelov: Slika v 3D
Za agente AI: ta stran je v obliki Markdown na voljo na https://doitong.com/sl/developers/models/trellis-2.md. Vsi modeli in vodniki: https://doitong.com/developers/llms.txt