[{"data":1,"prerenderedAt":481},["ShallowReactive",2],{"docs-page-meta":3,"docs-page-\u002Fgetting-started\u002Ftemplate-text-to-3d":32},{"pageMeta":4,"generatedAt":31},{"\u002Fall-endpoints\u002Fcreate-flow":5,"\u002Fall-endpoints\u002Fdelete-flow":7,"\u002Fall-endpoints\u002Fget-flow-input":8,"\u002Fall-endpoints\u002Fget-flow-output":9,"\u002Fall-endpoints\u002Fget-flow":10,"\u002Fall-endpoints\u002Fget-template":11,"\u002Fall-endpoints\u002Flist-flow-inputs":12,"\u002Fall-endpoints\u002Flist-flow-outputs":13,"\u002Fall-endpoints\u002Flist-flows":14,"\u002Fall-endpoints\u002Flist-templates":15,"\u002Fall-endpoints\u002Fstart-abort-flow":16,"\u002Fall-endpoints\u002Fupload-flow-input":17,"\u002Fgetting-started\u002Fauthentication":18,"\u002Fgetting-started\u002Fflow-lifecycle":19,"\u002Fgetting-started\u002Fflow":21,"\u002Fgetting-started\u002Fopenapi":22,"\u002Fgetting-started\u002Fplans-and-policies":23,"\u002Fgetting-started\u002Fquickstart":24,"\u002Fgetting-started\u002Ftemplate-helpers":25,"\u002Fgetting-started\u002Ftemplate-image-to-3d":26,"\u002Fgetting-started\u002Ftemplate-optimize-model":27,"\u002Fgetting-started\u002Ftemplate-text-to-3d":28,"\u002Fgetting-started\u002Ftemplates":29,"\u002Fgetting-started\u002Ftroubleshooting":30},{"lastUpdated":6},"2026-08-14T13:36:05.144Z",{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":6},{"lastUpdated":20},"2026-08-14T13:36:05.145Z",{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},{"lastUpdated":20},"2026-08-14T13:38:49.206Z",{"id":33,"title":34,"body":35,"description":473,"extension":474,"meta":475,"navigation":476,"path":477,"seo":478,"stem":479,"__hash__":480},"docs\u002Fgetting-started\u002Ftemplate-text-to-3d.md","Template - Text to 3D",{"type":36,"value":37,"toc":465},"minimark",[38,43,52,57,70,77,81,89,92,130,134,245,249,377,381,414,422,426,437,440,453,461],[39,40,42],"h1",{"id":41},"text-to-3d","Text to 3D",[44,45,46,47,51],"p",{},"Use ",[48,49,50],"code",{},"model_generate_fromprompt"," when you want to generate a 3D model from a text description.",[53,54,56],"h2",{"id":55},"when-to-use","When To Use",[58,59,60,64,67],"ul",{},[61,62,63],"li",{},"idea exploration from prompt-only inputs",[61,65,66],{},"rapid concept generation",[61,68,69],{},"no source image or source model available",[44,71,72,73,76],{},"Expected outcome: one or more GLB outputs retrievable by ",[48,74,75],{},"asset_id"," after completion.",[53,78,80],{"id":79},"inputs","Inputs",[58,82,83,86],{},[61,84,85],{},"required input data type: text prompt string",[61,87,88],{},"recommended: concrete subject, style, and constraints in one prompt",[44,90,91],{},"Minimal input object:",[93,94,99],"pre",{"className":95,"code":96,"language":97,"meta":98,"style":98},"language-json shiki shiki-themes github-light github-light github-dark","{\n  \"data\": \"A modern office chair with armrests\"\n}\n","json","",[48,100,101,110,124],{"__ignoreMap":98},[102,103,106],"span",{"class":104,"line":105},"line",1,[102,107,109],{"class":108},"sVPnS","{\n",[102,111,113,117,120],{"class":104,"line":112},2,[102,114,116],{"class":115},"sUNQB","  \"data\"",[102,118,119],{"class":108},": ",[102,121,123],{"class":122},"s-HEn","\"A modern office chair with armrests\"\n",[102,125,127],{"class":104,"line":126},3,[102,128,129],{"class":108},"}\n",[53,131,133],{"id":132},"parameters","Parameters",[135,136,137,159],"table",{},[138,139,140],"thead",{},[141,142,143,147,150,153,156],"tr",{},[144,145,146],"th",{},"Name",[144,148,149],{},"Type",[144,151,152],{},"Default",[144,154,155],{},"Allowed values",[144,157,158],{},"Practical guidance",[160,161,162,194,217],"tbody",{},[141,163,164,170,173,178,186],{},[165,166,167],"td",{},[48,168,169],{},"quality",[165,171,172],{},"string",[165,174,175],{},[48,176,177],{},"high",[165,179,180,183,184],{},[48,181,182],{},"low",", ",[48,185,177],{},[165,187,46,188,190,191,193],{},[48,189,177],{}," for better geometry; use ",[48,192,182],{}," for faster experiments.",[141,195,196,201,204,209,211],{},[165,197,198],{},[48,199,200],{},"seed",[165,202,203],{},"integer",[165,205,206],{},[48,207,208],{},"-1",[165,210,203],{},[165,212,213,214,216],{},"Use fixed value for reproducibility; use ",[48,215,208],{}," for random runs.",[141,218,219,224,227,232,239],{},[165,220,221],{},[48,222,223],{},"texture",[165,225,226],{},"boolean",[165,228,229],{},[48,230,231],{},"true",[165,233,234,183,236],{},[48,235,231],{},[48,237,238],{},"false",[165,240,241,242,244],{},"Set ",[48,243,231],{}," to include textures.",[53,246,248],{"id":247},"minimal-runnable-payload","Minimal Runnable Payload",[93,250,254],{"className":251,"code":252,"language":253,"meta":98,"style":98},"language-python shiki shiki-themes github-light github-light github-dark","payload = {\n    \"template\": \"model_generate_fromprompt\",\n    \"parameters\": {\n        \"quality\": \"high\",\n        \"texture\": True,\n        \"seed\": -1\n    },\n    \"inputs\": [\n        {\n            \"data\": \"A modern office chair with armrests\"\n        }\n    ]\n}\n","python",[48,255,256,268,281,289,302,315,329,335,344,350,360,366,372],{"__ignoreMap":98},[102,257,258,261,265],{"class":104,"line":105},[102,259,260],{"class":108},"payload ",[102,262,264],{"class":263},"sDD9d","=",[102,266,267],{"class":108}," {\n",[102,269,270,273,275,278],{"class":104,"line":112},[102,271,272],{"class":122},"    \"template\"",[102,274,119],{"class":108},[102,276,277],{"class":122},"\"model_generate_fromprompt\"",[102,279,280],{"class":108},",\n",[102,282,283,286],{"class":104,"line":126},[102,284,285],{"class":122},"    \"parameters\"",[102,287,288],{"class":108},": {\n",[102,290,292,295,297,300],{"class":104,"line":291},4,[102,293,294],{"class":122},"        \"quality\"",[102,296,119],{"class":108},[102,298,299],{"class":122},"\"high\"",[102,301,280],{"class":108},[102,303,305,308,310,313],{"class":104,"line":304},5,[102,306,307],{"class":122},"        \"texture\"",[102,309,119],{"class":108},[102,311,312],{"class":115},"True",[102,314,280],{"class":108},[102,316,318,321,323,326],{"class":104,"line":317},6,[102,319,320],{"class":122},"        \"seed\"",[102,322,119],{"class":108},[102,324,325],{"class":263},"-",[102,327,328],{"class":115},"1\n",[102,330,332],{"class":104,"line":331},7,[102,333,334],{"class":108},"    },\n",[102,336,338,341],{"class":104,"line":337},8,[102,339,340],{"class":122},"    \"inputs\"",[102,342,343],{"class":108},": [\n",[102,345,347],{"class":104,"line":346},9,[102,348,349],{"class":108},"        {\n",[102,351,353,356,358],{"class":104,"line":352},10,[102,354,355],{"class":122},"            \"data\"",[102,357,119],{"class":108},[102,359,123],{"class":122},[102,361,363],{"class":104,"line":362},11,[102,364,365],{"class":108},"        }\n",[102,367,369],{"class":104,"line":368},12,[102,370,371],{"class":108},"    ]\n",[102,373,375],{"class":104,"line":374},13,[102,376,129],{"class":108},[53,378,380],{"id":379},"polling-and-output-retrieval","Polling And Output Retrieval",[382,383,384,391,398,408],"ol",{},[61,385,386,387,390],{},"Create flow with ",[48,388,389],{},"POST \u002Fflows",".",[61,392,393,394,397],{},"Poll ",[48,395,396],{},"GET \u002Fflows\u002F{flow_id}"," until terminal state.",[61,399,400,401,404,405,390],{},"If ",[48,402,403],{},"completed",", list outputs via ",[48,406,407],{},"GET \u002Fflows\u002F{flow_id}\u002Foutputs",[61,409,410,411,390],{},"Fetch asset with ",[48,412,413],{},"GET \u002Fflows\u002F{flow_id}\u002Foutputs\u002F{asset_id}?include_data=true",[44,415,416,417,390],{},"For reusable polling\u002Fdownload code, use ",[418,419,421],"a",{"href":420},"\u002Fgetting-started\u002Ftemplate-helpers","Template Helpers",[53,423,425],{"id":424},"common-failure-modes","Common Failure Modes",[58,427,428,431,434],{},[61,429,430],{},"empty or vague prompt resulting in poor output quality",[61,432,433],{},"invalid template field or malformed payload",[61,435,436],{},"output fetch before completion",[44,438,439],{},"Recovery:",[382,441,442,445,448],{},[61,443,444],{},"strengthen prompt specificity",[61,446,447],{},"validate payload shape",[61,449,450,451],{},"retry output retrieval only after ",[48,452,403],{},[44,454,455,456,460],{},"See ",[418,457,459],{"href":458},"\u002Fgetting-started\u002Ftroubleshooting","Troubleshooting"," for HTTP and flow-state error patterns.",[462,463,464],"style",{},"html pre.shiki code .sVPnS, html code.shiki .sVPnS{--shiki-default:#24292E;--shiki-light:#24292E;--shiki-dark:#E1E4E8}html pre.shiki code .sUNQB, html code.shiki .sUNQB{--shiki-default:#005CC5;--shiki-light:#005CC5;--shiki-dark:#79B8FF}html pre.shiki code .s-HEn, html code.shiki .s-HEn{--shiki-default:#032F62;--shiki-light:#032F62;--shiki-dark:#9ECBFF}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html.dark .shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}html pre.shiki code .sDD9d, html code.shiki .sDD9d{--shiki-default:#D73A49;--shiki-light:#D73A49;--shiki-dark:#F97583}",{"title":98,"searchDepth":112,"depth":112,"links":466},[467,468,469,470,471,472],{"id":55,"depth":112,"text":56},{"id":79,"depth":112,"text":80},{"id":132,"depth":112,"text":133},{"id":247,"depth":112,"text":248},{"id":379,"depth":112,"text":380},{"id":424,"depth":112,"text":425},"How to use model_generate_fromprompt for text-to-3D generation.","md",{},true,"\u002Fgetting-started\u002Ftemplate-text-to-3d",{"title":34,"description":473},"getting-started\u002Ftemplate-text-to-3d","pjGT7ixTsZprHdOPhkfhtky3BU8nvqWPFiIBAH__E-w",1786714763100]