Trellis
THREE_DFeaturedmicrosoft-trellis
Trellis is an open-source 3D generation model from Microsoft Research that focuses on creating high-quality 3D objects with realistic materials and geometry from text prompts. It is known for its ability to produce detailed and coherent shapes, making it a valuable tool for researchers and hobbyists in the AI art community. As an open-source project, it offers a transparent and customizable foundation for exploring the future of 3D content creation.
curl --request POST \ --url https://api.app.layer.ai/api/v2/workspaces/:workspace_id/base-models/microsoft-trellis/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/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/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/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/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/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/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/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”Header Parameters
Section titled “Header Parameters”Opaque key making this request safe to retry. The first request with a given key executes; a later request with the same key returns that first response with Idempotent-Replayed: true instead of executing again. The key covers the method, path, query, and body it was first used with; reusing it for a different request is rejected with 422. Replayable for 24 hours.
Request Bodyrequired
Section titled “Request Bodyrequired”object
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 URL and, where the model supports per-file weighting, a weight.
object
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.
Suggested polling interval in seconds.
Timestamp of when the run was created.
Inference parameters after model-specific normalization.
These reflect the actual values used for generation, including model defaults applied for any parameters not explicitly set.
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 request with this Idempotency-Key is still running — 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."}