ndreca/hunyuan3d-2.1-test
/
hunyuan3d-2.1-test
Prediction
ndreca/hunyuan3d-2.1-test:48b3cf1c1ce1d10e49b1ce3926553040e3f54d75a0fb5c46862ed1e3c9f738d4IDmpyd4msa3nrme0cqt59bpgyahwStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
- seed
- 1234
- image
- steps
- 30
- num_chunks
- 8000
- max_facenum
- 20000
- guidance_scale
- 5
- generate_texture
- octree_resolution
- 256
- remove_background
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", "steps": 30, "num_chunks": 8000, "max_facenum": 20000, "guidance_scale": 5, "generate_texture": true, "octree_resolution": 256, "remove_background": false }Install Replicate’s Node.js client library:npm install replicateImport and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });Run ndreca/hunyuan3d-2.1-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ndreca/hunyuan3d-2.1-test:48b3cf1c1ce1d10e49b1ce3926553040e3f54d75a0fb5c46862ed1e3c9f738d4", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", steps: 30, num_chunks: 8000, max_facenum: 20000, guidance_scale: 5, generate_texture: true, octree_resolution: 256, remove_background: false } } ); console.log(output);To learn more, take a look at the guide on getting started with Node.js.
Install Replicate’s Python client library:pip install replicateImport the client:import replicateRun ndreca/hunyuan3d-2.1-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ndreca/hunyuan3d-2.1-test:48b3cf1c1ce1d10e49b1ce3926553040e3f54d75a0fb5c46862ed1e3c9f738d4", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", "steps": 30, "num_chunks": 8000, "max_facenum": 20000, "guidance_scale": 5, "generate_texture": True, "octree_resolution": 256, "remove_background": False } ) print(output)To learn more, take a look at the guide on getting started with Python.
Run ndreca/hunyuan3d-2.1-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "ndreca/hunyuan3d-2.1-test:48b3cf1c1ce1d10e49b1ce3926553040e3f54d75a0fb5c46862ed1e3c9f738d4", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", "steps": 30, "num_chunks": 8000, "max_facenum": 20000, "guidance_scale": 5, "generate_texture": true, "octree_resolution": 256, "remove_background": false } }' \ https://api.replicate.com/v1/predictionsTo learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-07-03T17:29:09.294974Z", "created_at": "2025-07-03T17:25:12.349000Z", "data_removed": false, "error": null, "id": "mpyd4msa3nrme0cqt59bpgyahw", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", "steps": 30, "num_chunks": 8000, "max_facenum": 20000, "guidance_scale": 5, "generate_texture": true, "octree_resolution": 256, "remove_background": false }, "logs": "Diffusion Sampling:: 0%| | 0/30 [00:00<?, ?it/s]\nDiffusion Sampling:: 3%|▎ | 1/30 [00:00<00:08, 3.47it/s]\nDiffusion Sampling:: 7%|▋ | 2/30 [00:00<00:07, 3.90it/s]\nDiffusion Sampling:: 10%|█ | 3/30 [00:00<00:06, 4.04it/s]\nDiffusion Sampling:: 13%|█▎ | 4/30 [00:00<00:06, 4.11it/s]\nDiffusion Sampling:: 17%|█▋ | 5/30 [00:01<00:06, 4.14it/s]\nDiffusion Sampling:: 20%|██ | 6/30 [00:01<00:05, 4.17it/s]\nDiffusion Sampling:: 23%|██▎ | 7/30 [00:01<00:05, 4.18it/s]\nDiffusion Sampling:: 27%|██▋ | 8/30 [00:01<00:05, 4.19it/s]\nDiffusion Sampling:: 30%|███ | 9/30 [00:02<00:05, 4.19it/s]\nDiffusion Sampling:: 33%|███▎ | 10/30 [00:02<00:04, 4.19it/s]\nDiffusion Sampling:: 37%|███▋ | 11/30 [00:02<00:04, 4.19it/s]\nDiffusion Sampling:: 40%|████ | 12/30 [00:02<00:04, 4.19it/s]\nDiffusion Sampling:: 43%|████▎ | 13/30 [00:03<00:04, 4.20it/s]\nDiffusion Sampling:: 47%|████▋ | 14/30 [00:03<00:03, 4.20it/s]\nDiffusion Sampling:: 50%|█████ | 15/30 [00:03<00:03, 4.19it/s]\nDiffusion Sampling:: 53%|█████▎ | 16/30 [00:03<00:03, 4.19it/s]\nDiffusion Sampling:: 57%|█████▋ | 17/30 [00:04<00:03, 4.18it/s]\nDiffusion Sampling:: 60%|██████ | 18/30 [00:04<00:02, 4.16it/s]\nDiffusion Sampling:: 63%|██████▎ | 19/30 [00:04<00:02, 4.17it/s]\nDiffusion Sampling:: 67%|██████▋ | 20/30 [00:04<00:02, 4.17it/s]\nDiffusion Sampling:: 70%|███████ | 21/30 [00:05<00:02, 4.17it/s]\nDiffusion Sampling:: 73%|███████▎ | 22/30 [00:05<00:01, 4.16it/s]\nDiffusion Sampling:: 77%|███████▋ | 23/30 [00:05<00:01, 4.16it/s]\nDiffusion Sampling:: 80%|████████ | 24/30 [00:05<00:01, 4.15it/s]\nDiffusion Sampling:: 83%|████████▎ | 25/30 [00:06<00:01, 4.15it/s]\nDiffusion Sampling:: 87%|████████▋ | 26/30 [00:06<00:00, 4.14it/s]\nDiffusion Sampling:: 90%|█████████ | 27/30 [00:06<00:00, 4.14it/s]\nDiffusion Sampling:: 93%|█████████▎| 28/30 [00:06<00:00, 4.15it/s]\nDiffusion Sampling:: 97%|█████████▋| 29/30 [00:06<00:00, 4.15it/s]\nDiffusion Sampling:: 100%|██████████| 30/30 [00:07<00:00, 4.14it/s]\nDiffusion Sampling:: 100%|██████████| 30/30 [00:07<00:00, 4.15it/s]\nVolume Decoding: 0%| | 0/2122 [00:00<?, ?it/s]\nVolume Decoding: 4%|▍ | 82/2122 [00:00<00:02, 811.62it/s]\nVolume Decoding: 8%|▊ | 164/2122 [00:00<00:03, 519.89it/s]\nVolume Decoding: 10%|█ | 222/2122 [00:00<00:03, 476.18it/s]\nVolume Decoding: 13%|█▎ | 273/2122 [00:00<00:04, 452.49it/s]\nVolume Decoding: 15%|█▌ | 320/2122 [00:00<00:04, 440.38it/s]\nVolume Decoding: 17%|█▋ | 365/2122 [00:00<00:04, 435.09it/s]\nVolume Decoding: 19%|█▉ | 409/2122 [00:00<00:03, 431.61it/s]\nVolume Decoding: 21%|██▏ | 453/2122 [00:00<00:03, 428.57it/s]\nVolume Decoding: 23%|██▎ | 496/2122 [00:01<00:03, 426.79it/s]\nVolume Decoding: 25%|██▌ | 539/2122 [00:01<00:03, 425.57it/s]\nVolume Decoding: 27%|██▋ | 582/2122 [00:01<00:03, 424.57it/s]\nVolume Decoding: 29%|██▉ | 625/2122 [00:01<00:03, 424.06it/s]\nVolume Decoding: 31%|███▏ | 668/2122 [00:01<00:03, 423.35it/s]\nVolume Decoding: 34%|███▎ | 711/2122 [00:01<00:03, 420.13it/s]\nVolume Decoding: 36%|███▌ | 754/2122 [00:01<00:03, 416.96it/s]\nVolume Decoding: 38%|███▊ | 796/2122 [00:01<00:03, 414.54it/s]\nVolume Decoding: 39%|███▉ | 838/2122 [00:01<00:03, 413.54it/s]\nVolume Decoding: 41%|████▏ | 880/2122 [00:02<00:02, 415.05it/s]\nVolume Decoding: 43%|████▎ | 922/2122 [00:02<00:02, 413.61it/s]\nVolume Decoding: 45%|████▌ | 965/2122 [00:02<00:02, 416.35it/s]\nVolume Decoding: 47%|████▋ | 1007/2122 [00:02<00:02, 417.14it/s]\nVolume Decoding: 49%|████▉ | 1050/2122 [00:02<00:02, 418.41it/s]\nVolume Decoding: 51%|█████▏ | 1092/2122 [00:02<00:02, 418.07it/s]\nVolume Decoding: 53%|█████▎ | 1135/2122 [00:02<00:02, 418.83it/s]\nVolume Decoding: 55%|█████▌ | 1177/2122 [00:02<00:02, 417.15it/s]\nVolume Decoding: 57%|█████▋ | 1220/2122 [00:02<00:02, 418.44it/s]\nVolume Decoding: 60%|█████▉ | 1263/2122 [00:02<00:02, 419.28it/s]\nVolume Decoding: 61%|██████▏ | 1305/2122 [00:03<00:01, 418.94it/s]\nVolume Decoding: 63%|██████▎ | 1347/2122 [00:03<00:01, 415.93it/s]\nVolume Decoding: 65%|██████▌ | 1389/2122 [00:03<00:01, 413.54it/s]\nVolume Decoding: 67%|██████▋ | 1431/2122 [00:03<00:01, 414.43it/s]\nVolume Decoding: 69%|██████▉ | 1474/2122 [00:03<00:01, 416.54it/s]\nVolume Decoding: 71%|███████▏ | 1516/2122 [00:03<00:01, 414.42it/s]\nVolume Decoding: 73%|███████▎ | 1559/2122 [00:03<00:01, 416.55it/s]\nVolume Decoding: 75%|███████▌ | 1601/2122 [00:03<00:01, 417.55it/s]\nVolume Decoding: 77%|███████▋ | 1644/2122 [00:03<00:01, 418.44it/s]\nVolume Decoding: 80%|███████▉ | 1687/2122 [00:03<00:01, 419.15it/s]\nVolume Decoding: 81%|████████▏ | 1729/2122 [00:04<00:00, 416.20it/s]\nVolume Decoding: 84%|████████▎ | 1772/2122 [00:04<00:00, 417.62it/s]\nVolume Decoding: 86%|████████▌ | 1815/2122 [00:04<00:00, 418.75it/s]\nVolume Decoding: 88%|████████▊ | 1858/2122 [00:04<00:00, 419.65it/s]\nVolume Decoding: 90%|████████▉ | 1900/2122 [00:04<00:00, 419.59it/s]\nVolume Decoding: 92%|█████████▏| 1943/2122 [00:04<00:00, 420.69it/s]\nVolume Decoding: 94%|█████████▎| 1986/2122 [00:04<00:00, 418.15it/s]\nVolume Decoding: 96%|█████████▌| 2028/2122 [00:04<00:00, 415.26it/s]\nVolume Decoding: 98%|█████████▊| 2071/2122 [00:04<00:00, 416.71it/s]\nVolume Decoding: 100%|█████████▉| 2113/2122 [00:04<00:00, 413.79it/s]\nVolume Decoding: 100%|██████████| 2122/2122 [00:04<00:00, 424.97it/s]\nPBR GLB文件已保存: output/textured_mesh.glb", "metrics": { "predict_time": 102.88519966, "total_time": 236.945974 }, "output": { "mesh": "https://replicate.delivery/xezq/zeJvZrCJb2RePUHPsgvCKdDoyIXSJelE8nQZXi0M7LPLfb0TB/textured_mesh.glb" }, "started_at": "2025-07-03T17:27:26.409775Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/mpyd4msa3nrme0cqt59bpgyahw", "cancel": "https://api.replicate.com/v1/predictions/mpyd4msa3nrme0cqt59bpgyahw/cancel" }, "version": "48b3cf1c1ce1d10e49b1ce3926553040e3f54d75a0fb5c46862ed1e3c9f738d4" }Generated inDiffusion Sampling:: 0%| | 0/30 [00:00<?, ?it/s] Diffusion Sampling:: 3%|▎ | 1/30 [00:00<00:08, 3.47it/s] Diffusion Sampling:: 7%|▋ | 2/30 [00:00<00:07, 3.90it/s] Diffusion Sampling:: 10%|█ | 3/30 [00:00<00:06, 4.04it/s] Diffusion Sampling:: 13%|█▎ | 4/30 [00:00<00:06, 4.11it/s] Diffusion Sampling:: 17%|█▋ | 5/30 [00:01<00:06, 4.14it/s] Diffusion Sampling:: 20%|██ | 6/30 [00:01<00:05, 4.17it/s] Diffusion Sampling:: 23%|██▎ | 7/30 [00:01<00:05, 4.18it/s] Diffusion Sampling:: 27%|██▋ | 8/30 [00:01<00:05, 4.19it/s] Diffusion Sampling:: 30%|███ | 9/30 [00:02<00:05, 4.19it/s] Diffusion Sampling:: 33%|███▎ | 10/30 [00:02<00:04, 4.19it/s] Diffusion Sampling:: 37%|███▋ | 11/30 [00:02<00:04, 4.19it/s] Diffusion Sampling:: 40%|████ | 12/30 [00:02<00:04, 4.19it/s] Diffusion Sampling:: 43%|████▎ | 13/30 [00:03<00:04, 4.20it/s] Diffusion Sampling:: 47%|████▋ | 14/30 [00:03<00:03, 4.20it/s] Diffusion Sampling:: 50%|█████ | 15/30 [00:03<00:03, 4.19it/s] Diffusion Sampling:: 53%|█████▎ | 16/30 [00:03<00:03, 4.19it/s] Diffusion Sampling:: 57%|█████▋ | 17/30 [00:04<00:03, 4.18it/s] Diffusion Sampling:: 60%|██████ | 18/30 [00:04<00:02, 4.16it/s] Diffusion Sampling:: 63%|██████▎ | 19/30 [00:04<00:02, 4.17it/s] Diffusion Sampling:: 67%|██████▋ | 20/30 [00:04<00:02, 4.17it/s] Diffusion Sampling:: 70%|███████ | 21/30 [00:05<00:02, 4.17it/s] Diffusion Sampling:: 73%|███████▎ | 22/30 [00:05<00:01, 4.16it/s] Diffusion Sampling:: 77%|███████▋ | 23/30 [00:05<00:01, 4.16it/s] Diffusion Sampling:: 80%|████████ | 24/30 [00:05<00:01, 4.15it/s] Diffusion Sampling:: 83%|████████▎ | 25/30 [00:06<00:01, 4.15it/s] Diffusion Sampling:: 87%|████████▋ | 26/30 [00:06<00:00, 4.14it/s] Diffusion Sampling:: 90%|█████████ | 27/30 [00:06<00:00, 4.14it/s] Diffusion Sampling:: 93%|█████████▎| 28/30 [00:06<00:00, 4.15it/s] Diffusion Sampling:: 97%|█████████▋| 29/30 [00:06<00:00, 4.15it/s] Diffusion Sampling:: 100%|██████████| 30/30 [00:07<00:00, 4.14it/s] Diffusion Sampling:: 100%|██████████| 30/30 [00:07<00:00, 4.15it/s] Volume Decoding: 0%| | 0/2122 [00:00<?, ?it/s] Volume Decoding: 4%|▍ | 82/2122 [00:00<00:02, 811.62it/s] Volume Decoding: 8%|▊ | 164/2122 [00:00<00:03, 519.89it/s] Volume Decoding: 10%|█ | 222/2122 [00:00<00:03, 476.18it/s] Volume Decoding: 13%|█▎ | 273/2122 [00:00<00:04, 452.49it/s] Volume Decoding: 15%|█▌ | 320/2122 [00:00<00:04, 440.38it/s] Volume Decoding: 17%|█▋ | 365/2122 [00:00<00:04, 435.09it/s] Volume Decoding: 19%|█▉ | 409/2122 [00:00<00:03, 431.61it/s] Volume Decoding: 21%|██▏ | 453/2122 [00:00<00:03, 428.57it/s] Volume Decoding: 23%|██▎ | 496/2122 [00:01<00:03, 426.79it/s] Volume Decoding: 25%|██▌ | 539/2122 [00:01<00:03, 425.57it/s] Volume Decoding: 27%|██▋ | 582/2122 [00:01<00:03, 424.57it/s] Volume Decoding: 29%|██▉ | 625/2122 [00:01<00:03, 424.06it/s] Volume Decoding: 31%|███▏ | 668/2122 [00:01<00:03, 423.35it/s] Volume Decoding: 34%|███▎ | 711/2122 [00:01<00:03, 420.13it/s] Volume Decoding: 36%|███▌ | 754/2122 [00:01<00:03, 416.96it/s] Volume Decoding: 38%|███▊ | 796/2122 [00:01<00:03, 414.54it/s] Volume Decoding: 39%|███▉ | 838/2122 [00:01<00:03, 413.54it/s] Volume Decoding: 41%|████▏ | 880/2122 [00:02<00:02, 415.05it/s] Volume Decoding: 43%|████▎ | 922/2122 [00:02<00:02, 413.61it/s] Volume Decoding: 45%|████▌ | 965/2122 [00:02<00:02, 416.35it/s] Volume Decoding: 47%|████▋ | 1007/2122 [00:02<00:02, 417.14it/s] Volume Decoding: 49%|████▉ | 1050/2122 [00:02<00:02, 418.41it/s] Volume Decoding: 51%|█████▏ | 1092/2122 [00:02<00:02, 418.07it/s] Volume Decoding: 53%|█████▎ | 1135/2122 [00:02<00:02, 418.83it/s] Volume Decoding: 55%|█████▌ | 1177/2122 [00:02<00:02, 417.15it/s] Volume Decoding: 57%|█████▋ | 1220/2122 [00:02<00:02, 418.44it/s] Volume Decoding: 60%|█████▉ | 1263/2122 [00:02<00:02, 419.28it/s] Volume Decoding: 61%|██████▏ | 1305/2122 [00:03<00:01, 418.94it/s] Volume Decoding: 63%|██████▎ | 1347/2122 [00:03<00:01, 415.93it/s] Volume Decoding: 65%|██████▌ | 1389/2122 [00:03<00:01, 413.54it/s] Volume Decoding: 67%|██████▋ | 1431/2122 [00:03<00:01, 414.43it/s] Volume Decoding: 69%|██████▉ | 1474/2122 [00:03<00:01, 416.54it/s] Volume Decoding: 71%|███████▏ | 1516/2122 [00:03<00:01, 414.42it/s] Volume Decoding: 73%|███████▎ | 1559/2122 [00:03<00:01, 416.55it/s] Volume Decoding: 75%|███████▌ | 1601/2122 [00:03<00:01, 417.55it/s] Volume Decoding: 77%|███████▋ | 1644/2122 [00:03<00:01, 418.44it/s] Volume Decoding: 80%|███████▉ | 1687/2122 [00:03<00:01, 419.15it/s] Volume Decoding: 81%|████████▏ | 1729/2122 [00:04<00:00, 416.20it/s] Volume Decoding: 84%|████████▎ | 1772/2122 [00:04<00:00, 417.62it/s] Volume Decoding: 86%|████████▌ | 1815/2122 [00:04<00:00, 418.75it/s] Volume Decoding: 88%|████████▊ | 1858/2122 [00:04<00:00, 419.65it/s] Volume Decoding: 90%|████████▉ | 1900/2122 [00:04<00:00, 419.59it/s] Volume Decoding: 92%|█████████▏| 1943/2122 [00:04<00:00, 420.69it/s] Volume Decoding: 94%|█████████▎| 1986/2122 [00:04<00:00, 418.15it/s] Volume Decoding: 96%|█████████▌| 2028/2122 [00:04<00:00, 415.26it/s] Volume Decoding: 98%|█████████▊| 2071/2122 [00:04<00:00, 416.71it/s] Volume Decoding: 100%|█████████▉| 2113/2122 [00:04<00:00, 413.79it/s] Volume Decoding: 100%|██████████| 2122/2122 [00:04<00:00, 424.97it/s] PBR GLB文件已保存: output/textured_mesh.glb
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