Trellis 2
THREE_DFeaturedmicrosoft-trellis-2
Trellis 2 is a state-of-the-art large 3D generative model designed for high-fidelity image-to-3D generation. It leverages a novel field-free sparse voxel structure termed O-Voxel and a large-scale flow-matching transformer (4 Billion parameters). Unlike previous methods that rely on iso-surface fields (e.g., SDF, Flexicubes) which struggle with open surfaces or non-manifold geometry, TRELLIS can reconstruct and generate arbitrary 3D assets with complex topologies, sharp features, and full Physical-Based Rendering (PBR) materials—including transparency/translucency.
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences \ --header 'Authorization: Bearer <token>' \ --header 'Content-Type: application/json' \ --data '{ "guidance_file_init_image": [ { "url": "<file_url>" } ]}'import requests
url = "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences"
payload = { "guidance_file_init_image": [{ "url": "<file_url>" }] }headers = { "Authorization": "Bearer <token>", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print(response.json())const url = 'https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences';const options = { method: 'POST', headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'}, body: '{"guidance_file_init_image":[{"url":"<file_url>"}]}'};
try { const response = await fetch(url, options); const data = await response.json(); console.log(data);} catch (error) { console.error(error);}package main
import ( "fmt" "strings" "net/http" "io")
func main() {
url := "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences"
payload := strings.NewReader("{\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\n}")
req, _ := http.NewRequest("POST", url, payload)
req.Header.Add("Authorization", "Bearer <token>") req.Header.Add("Content-Type", "application/json")
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close() body, _ := io.ReadAll(res.Body)
fmt.Println(res) fmt.Println(string(body))
}<?php
$curl = curl_init();
curl_setopt_array($curl, [ CURLOPT_URL => "https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences", CURLOPT_RETURNTRANSFER => true, CURLOPT_ENCODING => "", CURLOPT_MAXREDIRS => 10, CURLOPT_TIMEOUT => 30, CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1, CURLOPT_CUSTOMREQUEST => "POST", CURLOPT_POSTFIELDS => json_encode([ 'guidance_file_init_image' => [ [ 'url' => '<file_url>' ] ] ]), CURLOPT_HTTPHEADER => [ "Authorization: Bearer <token>", "Content-Type: application/json" ],]);
$response = curl_exec($curl);$err = curl_error($curl);
curl_close($curl);
if ($err) { echo "cURL Error #:" . $err;} else { echo $response;}OkHttpClient client = new OkHttpClient();
MediaType mediaType = MediaType.parse("application/json");RequestBody body = RequestBody.create(mediaType, "{\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\n}");Request request = new Request.Builder() .url("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences") .post(body) .addHeader("Authorization", "Bearer <token>") .addHeader("Content-Type", "application/json") .build();
Response response = client.newCall(request).execute();require 'uri'require 'net/http'
url = URI("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences")
http = Net::HTTP.new(url.host, url.port)http.use_ssl = true
request = Net::HTTP::Post.new(url)request["Authorization"] = 'Bearer <token>'request["Content-Type"] = 'application/json'request.body = "{\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\n}"
response = http.request(request)puts response.read_bodyvar client = new RestClient("https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis-2/inferences");var request = new RestRequest("", Method.Post);request.AddHeader("Authorization", "Bearer <token>");request.AddHeader("Content-Type", "application/json");request.AddParameter("application/json", "{\n \"guidance_file_init_image\": [\n {\n \"url\": \"<file_url>\"\n }\n ]\n}", ParameterType.RequestBody);var response = client.Execute(request);Authorizations
Section titled “Authorizations”Parameters
Section titled “Parameters”Path Parameters
Section titled “Path Parameters”Id of the workspace that owns the resource.
Id of the workspace that owns the resource.
Query Parameters
Section titled “Query Parameters”Organize this run under a named session. A new session is created if none matches.
Organize this run under a named session. A new session is created if none matches.
Header Parameters
Section titled “Header Parameters”Opaque key making a retry of this request return the first result. A 2xx response is replayed for 24 hours with Idempotent-Replayed: true. A 4xx releases the key. A 5xx, or a request still running, holds the key for 120 seconds, during which a retry gets 409; after that a retry executes again. The key covers the method, path, query, and byte-identical body it was first used with; reusing it for a different request is rejected with 422. Protection is best effort: if the key store is unavailable, or a record is lost early, a retry can execute again even after an earlier 409. See the Idempotency section of the API description.
Request Bodyrequired
Section titled “Request Bodyrequired”object
The starting point for the model’s randomness. The same seed and settings give the same result.
Advanced field.
The image the 3D model is built from
A single guidance/reference file supplied to a reference_image_list field.
The slot’s guidance type is fixed by the field it’s attached to; the caller
supplies the file (its URL, or the id of a file it can read) and, where the model supports
per-file weighting, a weight.
object
The file’s URL, or the id of a file in this workspace or a public file.
Example
{ "guidance_file_init_image": [ { "url": "<file_url>" } ]}Responses
Section titled “Responses”Successful Response
object
Unique identifier for this forge run.
Current status: IN_PROGRESS.
Estimated price in Creative Units.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Session ID the run was added to, if a session was specified.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
object
Resolved output width in pixels.
Resolved output height in pixels.
Number of outputs to generate.
Resolved number of diffusion steps.
Resolved guidance scale.
Resolved output length in seconds — video duration or audio clip length.
Resolved FPS.
Example
{ "status": "in_progress"}Unauthenticated — missing or invalid Bearer token.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Forbidden — insufficient permissions, or the access token lacks the scope the operation requires.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Resource not found.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}The outcome of the request with this Idempotency-Key is not known yet: it is still running, or it failed without a stored response. Retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Invalid input parameters, or an Idempotency-Key reused for a different request.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Rate limited — retry after the number of seconds in Retry-After.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}Internal server error.
object
Example
{ "type": "https://api.layer.ai/errors/ERROR_CODE", "title": "Error Title", "status": 400, "detail": "Human-readable description."}