tencent/hunyuan3d-2

Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

A state-of-the-art text-to-video generation model capable of creating high-quality videos with realistic motion from text descriptions

Hunyuan3D-2mv is finetuned from Hunyuan3D-2 to support multiview controlled shape generation.

Scaling Diffusion Models for High Resolution Textured 3D Assets Generation
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbID6zx1apmkpxrm80cmy2gv2k62f8StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:14:38.338382Z", "created_at": "2025-02-10T16:11:48.535000Z", "data_removed": false, "error": null, "id": "6zx1apmkpxrm80cmy2gv2k62f8", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "/root/.pyenv/versions/3.10.16/lib/python3.10/site-packages/PIL/Image.py:970: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images\nwarnings.warn(\nUsing border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 4.95it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.89it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.26it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.91it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.72it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.59it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.50it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.44it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.40it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.37it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.35it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:06, 5.33it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.32it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.32it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.31it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.31it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.30it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.29it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.28it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.28it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.29it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.28it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:04, 5.28it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.27it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.27it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:04<00:04, 5.26it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.26it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:03, 5.26it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.25it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.25it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:05<00:03, 5.26it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.26it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.25it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.24it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.24it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.24it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.25it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.24it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.24it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.25it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.26it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.25it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.24it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.24it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.24it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.25it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:08<00:00, 5.24it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.24it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.24it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.34it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 40/2122 [00:00<00:05, 390.96it/s]\nMC Level 0.0 Implicit Function:: 4%|▍ | 80/2122 [00:00<00:05, 382.69it/s]\nMC Level 0.0 Implicit Function:: 6%|▌ | 119/2122 [00:00<00:05, 380.79it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 158/2122 [00:00<00:05, 379.99it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 197/2122 [00:00<00:05, 378.90it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 235/2122 [00:00<00:04, 378.80it/s]\nMC Level 0.0 Implicit Function:: 13%|█▎ | 273/2122 [00:00<00:04, 378.51it/s]\nMC Level 0.0 Implicit Function:: 15%|█▍ | 311/2122 [00:00<00:04, 378.22it/s]\nMC Level 0.0 Implicit Function:: 16%|█▋ | 349/2122 [00:00<00:04, 378.24it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 387/2122 [00:01<00:04, 377.64it/s]\nMC Level 0.0 Implicit Function:: 20%|██ | 425/2122 [00:01<00:04, 377.86it/s]\nMC Level 0.0 Implicit Function:: 22%|██▏ | 463/2122 [00:01<00:04, 377.63it/s]\nMC Level 0.0 Implicit Function:: 24%|██▎ | 501/2122 [00:01<00:04, 376.72it/s]\nMC Level 0.0 Implicit Function:: 25%|██▌ | 539/2122 [00:01<00:04, 377.24it/s]\nMC Level 0.0 Implicit Function:: 27%|██▋ | 577/2122 [00:01<00:04, 377.01it/s]\nMC Level 0.0 Implicit Function:: 29%|██▉ | 615/2122 [00:01<00:03, 377.55it/s]\nMC Level 0.0 Implicit Function:: 31%|███ | 653/2122 [00:01<00:03, 377.34it/s]\nMC Level 0.0 Implicit Function:: 33%|███▎ | 691/2122 [00:01<00:03, 377.35it/s]\nMC Level 0.0 Implicit Function:: 34%|███▍ | 729/2122 [00:01<00:03, 377.69it/s]\nMC Level 0.0 Implicit Function:: 36%|███▌ | 767/2122 [00:02<00:03, 377.59it/s]\nMC Level 0.0 Implicit Function:: 38%|███▊ | 805/2122 [00:02<00:03, 377.39it/s]\nMC Level 0.0 Implicit Function:: 40%|███▉ | 843/2122 [00:02<00:03, 377.24it/s]\nMC Level 0.0 Implicit Function:: 42%|████▏ | 881/2122 [00:02<00:03, 377.27it/s]\nMC Level 0.0 Implicit Function:: 43%|████▎ | 919/2122 [00:02<00:03, 376.85it/s]\nMC Level 0.0 Implicit Function:: 45%|████▌ | 957/2122 [00:02<00:03, 376.74it/s]\nMC Level 0.0 Implicit Function:: 47%|████▋ | 995/2122 [00:02<00:02, 377.02it/s]\nMC Level 0.0 Implicit Function:: 49%|████▊ | 1033/2122 [00:02<00:02, 377.35it/s]\nMC Level 0.0 Implicit Function:: 50%|█████ | 1071/2122 [00:02<00:02, 377.42it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1109/2122 [00:02<00:02, 377.47it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1147/2122 [00:03<00:02, 377.85it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1185/2122 [00:03<00:02, 377.31it/s]\nMC Level 0.0 Implicit Function:: 58%|█████▊ | 1223/2122 [00:03<00:02, 377.36it/s]\nMC Level 0.0 Implicit Function:: 59%|█████▉ | 1261/2122 [00:03<00:02, 377.46it/s]\nMC Level 0.0 Implicit Function:: 61%|██████ | 1299/2122 [00:03<00:02, 377.53it/s]\nMC Level 0.0 Implicit Function:: 63%|██████▎ | 1337/2122 [00:03<00:02, 377.13it/s]\nMC Level 0.0 Implicit Function:: 65%|██████▍ | 1375/2122 [00:03<00:01, 377.08it/s]\nMC Level 0.0 Implicit Function:: 67%|██████▋ | 1413/2122 [00:03<00:01, 376.89it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1451/2122 [00:03<00:01, 376.93it/s]\nMC Level 0.0 Implicit Function:: 70%|███████ | 1489/2122 [00:03<00:01, 376.59it/s]\nMC Level 0.0 Implicit Function:: 72%|███████▏ | 1527/2122 [00:04<00:01, 375.88it/s]\nMC Level 0.0 Implicit Function:: 74%|███████▍ | 1565/2122 [00:04<00:01, 375.79it/s]\nMC Level 0.0 Implicit Function:: 76%|███████▌ | 1603/2122 [00:04<00:01, 376.28it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1641/2122 [00:04<00:01, 376.26it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▉ | 1679/2122 [00:04<00:01, 376.38it/s]\nMC Level 0.0 Implicit Function:: 81%|████████ | 1717/2122 [00:04<00:01, 375.52it/s]\nMC Level 0.0 Implicit Function:: 83%|████████▎ | 1755/2122 [00:04<00:00, 375.43it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1793/2122 [00:04<00:00, 375.61it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▋ | 1831/2122 [00:04<00:00, 375.57it/s]\nMC Level 0.0 Implicit Function:: 88%|████████▊ | 1869/2122 [00:04<00:00, 376.07it/s]\nMC Level 0.0 Implicit Function:: 90%|████████▉ | 1907/2122 [00:05<00:00, 375.96it/s]\nMC Level 0.0 Implicit Function:: 92%|█████████▏| 1945/2122 [00:05<00:00, 375.63it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1983/2122 [00:05<00:00, 375.91it/s]\nMC Level 0.0 Implicit Function:: 95%|█████████▌| 2021/2122 [00:05<00:00, 375.91it/s]\nMC Level 0.0 Implicit Function:: 97%|█████████▋| 2059/2122 [00:05<00:00, 375.68it/s]\nMC Level 0.0 Implicit Function:: 99%|█████████▉| 2097/2122 [00:05<00:00, 375.81it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 376.66it/s]", "metrics": { "predict_time": 27.687334451, "total_time": 169.803382 }, "output": { "mesh": "https://replicate.delivery/xezq/fTVMavpt4AWTUywffP18AFgTMvb1Sy8qmXCmFIs2LXKcf13QB/gray_mesh.glb" }, "started_at": "2025-02-10T16:14:10.651047Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/6zx1apmkpxrm80cmy2gv2k62f8", "cancel": "https://api.replicate.com/v1/predictions/6zx1apmkpxrm80cmy2gv2k62f8/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated in/root/.pyenv/versions/3.10.16/lib/python3.10/site-packages/PIL/Image.py:970: UserWarning: Palette images with Transparency expressed in bytes should be converted to RGBA images warnings.warn( Using border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 4.95it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.89it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.26it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.91it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.72it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.59it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.50it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.44it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.40it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.37it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.35it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:06, 5.33it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.32it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.32it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.31it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.31it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.30it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.29it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.28it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.28it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.29it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.28it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:04, 5.28it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.27it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.27it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:04<00:04, 5.26it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.26it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:03, 5.26it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.25it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.25it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:05<00:03, 5.26it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.26it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.25it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.24it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.24it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.24it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.25it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.24it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.24it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.25it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.26it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.25it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.24it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.24it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.24it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.25it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:08<00:00, 5.24it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.24it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.24it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.34it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 40/2122 [00:00<00:05, 390.96it/s] MC Level 0.0 Implicit Function:: 4%|▍ | 80/2122 [00:00<00:05, 382.69it/s] MC Level 0.0 Implicit Function:: 6%|▌ | 119/2122 [00:00<00:05, 380.79it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 158/2122 [00:00<00:05, 379.99it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 197/2122 [00:00<00:05, 378.90it/s] MC Level 0.0 Implicit Function:: 11%|█ | 235/2122 [00:00<00:04, 378.80it/s] MC Level 0.0 Implicit Function:: 13%|█▎ | 273/2122 [00:00<00:04, 378.51it/s] MC Level 0.0 Implicit Function:: 15%|█▍ | 311/2122 [00:00<00:04, 378.22it/s] MC Level 0.0 Implicit Function:: 16%|█▋ | 349/2122 [00:00<00:04, 378.24it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 387/2122 [00:01<00:04, 377.64it/s] MC Level 0.0 Implicit Function:: 20%|██ | 425/2122 [00:01<00:04, 377.86it/s] MC Level 0.0 Implicit Function:: 22%|██▏ | 463/2122 [00:01<00:04, 377.63it/s] MC Level 0.0 Implicit Function:: 24%|██▎ | 501/2122 [00:01<00:04, 376.72it/s] MC Level 0.0 Implicit Function:: 25%|██▌ | 539/2122 [00:01<00:04, 377.24it/s] MC Level 0.0 Implicit Function:: 27%|██▋ | 577/2122 [00:01<00:04, 377.01it/s] MC Level 0.0 Implicit Function:: 29%|██▉ | 615/2122 [00:01<00:03, 377.55it/s] MC Level 0.0 Implicit Function:: 31%|███ | 653/2122 [00:01<00:03, 377.34it/s] MC Level 0.0 Implicit Function:: 33%|███▎ | 691/2122 [00:01<00:03, 377.35it/s] MC Level 0.0 Implicit Function:: 34%|███▍ | 729/2122 [00:01<00:03, 377.69it/s] MC Level 0.0 Implicit Function:: 36%|███▌ | 767/2122 [00:02<00:03, 377.59it/s] MC Level 0.0 Implicit Function:: 38%|███▊ | 805/2122 [00:02<00:03, 377.39it/s] MC Level 0.0 Implicit Function:: 40%|███▉ | 843/2122 [00:02<00:03, 377.24it/s] MC Level 0.0 Implicit Function:: 42%|████▏ | 881/2122 [00:02<00:03, 377.27it/s] MC Level 0.0 Implicit Function:: 43%|████▎ | 919/2122 [00:02<00:03, 376.85it/s] MC Level 0.0 Implicit Function:: 45%|████▌ | 957/2122 [00:02<00:03, 376.74it/s] MC Level 0.0 Implicit Function:: 47%|████▋ | 995/2122 [00:02<00:02, 377.02it/s] MC Level 0.0 Implicit Function:: 49%|████▊ | 1033/2122 [00:02<00:02, 377.35it/s] MC Level 0.0 Implicit Function:: 50%|█████ | 1071/2122 [00:02<00:02, 377.42it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1109/2122 [00:02<00:02, 377.47it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1147/2122 [00:03<00:02, 377.85it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1185/2122 [00:03<00:02, 377.31it/s] MC Level 0.0 Implicit Function:: 58%|█████▊ | 1223/2122 [00:03<00:02, 377.36it/s] MC Level 0.0 Implicit Function:: 59%|█████▉ | 1261/2122 [00:03<00:02, 377.46it/s] MC Level 0.0 Implicit Function:: 61%|██████ | 1299/2122 [00:03<00:02, 377.53it/s] MC Level 0.0 Implicit Function:: 63%|██████▎ | 1337/2122 [00:03<00:02, 377.13it/s] MC Level 0.0 Implicit Function:: 65%|██████▍ | 1375/2122 [00:03<00:01, 377.08it/s] MC Level 0.0 Implicit Function:: 67%|██████▋ | 1413/2122 [00:03<00:01, 376.89it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1451/2122 [00:03<00:01, 376.93it/s] MC Level 0.0 Implicit Function:: 70%|███████ | 1489/2122 [00:03<00:01, 376.59it/s] MC Level 0.0 Implicit Function:: 72%|███████▏ | 1527/2122 [00:04<00:01, 375.88it/s] MC Level 0.0 Implicit Function:: 74%|███████▍ | 1565/2122 [00:04<00:01, 375.79it/s] MC Level 0.0 Implicit Function:: 76%|███████▌ | 1603/2122 [00:04<00:01, 376.28it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1641/2122 [00:04<00:01, 376.26it/s] MC Level 0.0 Implicit Function:: 79%|███████▉ | 1679/2122 [00:04<00:01, 376.38it/s] MC Level 0.0 Implicit Function:: 81%|████████ | 1717/2122 [00:04<00:01, 375.52it/s] MC Level 0.0 Implicit Function:: 83%|████████▎ | 1755/2122 [00:04<00:00, 375.43it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1793/2122 [00:04<00:00, 375.61it/s] MC Level 0.0 Implicit Function:: 86%|████████▋ | 1831/2122 [00:04<00:00, 375.57it/s] MC Level 0.0 Implicit Function:: 88%|████████▊ | 1869/2122 [00:04<00:00, 376.07it/s] MC Level 0.0 Implicit Function:: 90%|████████▉ | 1907/2122 [00:05<00:00, 375.96it/s] MC Level 0.0 Implicit Function:: 92%|█████████▏| 1945/2122 [00:05<00:00, 375.63it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1983/2122 [00:05<00:00, 375.91it/s] MC Level 0.0 Implicit Function:: 95%|█████████▌| 2021/2122 [00:05<00:00, 375.91it/s] MC Level 0.0 Implicit Function:: 97%|█████████▋| 2059/2122 [00:05<00:00, 375.68it/s] MC Level 0.0 Implicit Function:: 99%|█████████▉| 2097/2122 [00:05<00:00, 375.81it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 376.66it/s]
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbIDpjzq713afsrme0cmy2j90ht9s0StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY2XvZeJhEyNBvATCuKEP5yqBIFXIL8ojqs665YCK4fgGoO/075.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTY2XvZeJhEyNBvATCuKEP5yqBIFXIL8ojqs665YCK4fgGoO/075.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY2XvZeJhEyNBvATCuKEP5yqBIFXIL8ojqs665YCK4fgGoO/075.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY2XvZeJhEyNBvATCuKEP5yqBIFXIL8ojqs665YCK4fgGoO/075.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:15:22.464148Z", "created_at": "2025-02-10T16:14:54.590000Z", "data_removed": false, "error": null, "id": "pjzq713afsrme0cmy2j90ht9s0", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY2XvZeJhEyNBvATCuKEP5yqBIFXIL8ojqs665YCK4fgGoO/075.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "Using border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.36it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 7.02it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.28it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.90it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.66it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.52it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.42it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.36it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.31it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.28it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.26it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.24it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.23it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.22it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.22it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.21it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.21it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.21it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.21it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.20it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.20it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.20it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.20it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.19it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.19it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.19it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.19it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.18it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.19it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.19it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.20it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.20it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.19it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.18it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.18it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.18it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.18it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.18it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.18it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.18it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.17it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.17it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.16it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.16it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.16it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.16it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.16it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.16it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.16it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.27it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 34/2122 [00:00<00:06, 334.89it/s]\nMC Level 0.0 Implicit Function:: 3%|▎ | 72/2122 [00:00<00:05, 357.32it/s]\nMC Level 0.0 Implicit Function:: 5%|▌ | 110/2122 [00:00<00:05, 364.66it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 148/2122 [00:00<00:05, 367.44it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 186/2122 [00:00<00:05, 368.82it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 224/2122 [00:00<00:05, 370.19it/s]\nMC Level 0.0 Implicit Function:: 12%|█▏ | 262/2122 [00:00<00:05, 370.67it/s]\nMC Level 0.0 Implicit Function:: 14%|█▍ | 300/2122 [00:00<00:04, 370.91it/s]\nMC Level 0.0 Implicit Function:: 16%|█▌ | 338/2122 [00:00<00:04, 371.25it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 376/2122 [00:01<00:04, 370.95it/s]\nMC Level 0.0 Implicit Function:: 20%|█▉ | 414/2122 [00:01<00:04, 371.02it/s]\nMC Level 0.0 Implicit Function:: 21%|██▏ | 452/2122 [00:01<00:04, 371.31it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 490/2122 [00:01<00:04, 371.12it/s]\nMC Level 0.0 Implicit Function:: 25%|██▍ | 528/2122 [00:01<00:04, 371.24it/s]\nMC Level 0.0 Implicit Function:: 27%|██▋ | 566/2122 [00:01<00:04, 371.37it/s]\nMC Level 0.0 Implicit Function:: 28%|██▊ | 604/2122 [00:01<00:04, 371.45it/s]\nMC Level 0.0 Implicit Function:: 30%|███ | 642/2122 [00:01<00:03, 371.78it/s]\nMC Level 0.0 Implicit Function:: 32%|███▏ | 680/2122 [00:01<00:03, 372.00it/s]\nMC Level 0.0 Implicit Function:: 34%|███▍ | 718/2122 [00:01<00:03, 371.69it/s]\nMC Level 0.0 Implicit Function:: 36%|███▌ | 756/2122 [00:02<00:03, 371.25it/s]\nMC Level 0.0 Implicit Function:: 37%|███▋ | 794/2122 [00:02<00:03, 371.86it/s]\nMC Level 0.0 Implicit Function:: 39%|███▉ | 832/2122 [00:02<00:03, 371.96it/s]\nMC Level 0.0 Implicit Function:: 41%|████ | 870/2122 [00:02<00:03, 371.60it/s]\nMC Level 0.0 Implicit Function:: 43%|████▎ | 908/2122 [00:02<00:03, 371.30it/s]\nMC Level 0.0 Implicit Function:: 45%|████▍ | 946/2122 [00:02<00:03, 371.90it/s]\nMC Level 0.0 Implicit Function:: 46%|████▋ | 984/2122 [00:02<00:03, 371.57it/s]\nMC Level 0.0 Implicit Function:: 48%|████▊ | 1022/2122 [00:02<00:02, 371.74it/s]\nMC Level 0.0 Implicit Function:: 50%|████▉ | 1060/2122 [00:02<00:02, 371.74it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1098/2122 [00:02<00:02, 371.51it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▎ | 1136/2122 [00:03<00:02, 371.48it/s]\nMC Level 0.0 Implicit Function:: 55%|█████▌ | 1174/2122 [00:03<00:02, 371.85it/s]\nMC Level 0.0 Implicit Function:: 57%|█████▋ | 1212/2122 [00:03<00:02, 371.70it/s]\nMC Level 0.0 Implicit Function:: 59%|█████▉ | 1250/2122 [00:03<00:02, 371.29it/s]\nMC Level 0.0 Implicit Function:: 61%|██████ | 1288/2122 [00:03<00:02, 370.72it/s]\nMC Level 0.0 Implicit Function:: 62%|██████▏ | 1326/2122 [00:03<00:02, 370.59it/s]\nMC Level 0.0 Implicit Function:: 64%|██████▍ | 1364/2122 [00:03<00:02, 371.11it/s]\nMC Level 0.0 Implicit Function:: 66%|██████▌ | 1402/2122 [00:03<00:01, 371.51it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1440/2122 [00:03<00:01, 371.46it/s]\nMC Level 0.0 Implicit Function:: 70%|██████▉ | 1478/2122 [00:03<00:01, 371.30it/s]\nMC Level 0.0 Implicit Function:: 71%|███████▏ | 1516/2122 [00:04<00:01, 370.97it/s]\nMC Level 0.0 Implicit Function:: 73%|███████▎ | 1554/2122 [00:04<00:01, 371.37it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▌ | 1592/2122 [00:04<00:01, 371.47it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:04<00:01, 371.14it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▊ | 1668/2122 [00:04<00:01, 370.96it/s]\nMC Level 0.0 Implicit Function:: 80%|████████ | 1706/2122 [00:04<00:01, 370.18it/s]\nMC Level 0.0 Implicit Function:: 82%|████████▏ | 1744/2122 [00:04<00:01, 370.27it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1782/2122 [00:04<00:00, 370.52it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▌ | 1820/2122 [00:04<00:00, 370.49it/s]\nMC Level 0.0 Implicit Function:: 88%|████████▊ | 1858/2122 [00:05<00:00, 370.76it/s]\nMC Level 0.0 Implicit Function:: 89%|████████▉ | 1896/2122 [00:05<00:00, 370.46it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████ | 1934/2122 [00:05<00:00, 370.56it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1972/2122 [00:05<00:00, 370.62it/s]\nMC Level 0.0 Implicit Function:: 95%|█████████▍| 2010/2122 [00:05<00:00, 370.25it/s]\nMC Level 0.0 Implicit Function:: 97%|█████████▋| 2048/2122 [00:05<00:00, 370.21it/s]\nMC Level 0.0 Implicit Function:: 98%|█████████▊| 2086/2122 [00:05<00:00, 370.33it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 370.60it/s]", "metrics": { "predict_time": 27.866302925, "total_time": 27.874148 }, "output": { "mesh": "https://replicate.delivery/xezq/MPA7kHD6opaaKdwkGS6MeiBDNglDlflmvfgSImeXp3vpB23QB/gray_mesh.glb" }, "started_at": "2025-02-10T16:14:54.597845Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/pjzq713afsrme0cmy2j90ht9s0", "cancel": "https://api.replicate.com/v1/predictions/pjzq713afsrme0cmy2j90ht9s0/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.36it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 7.02it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.28it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.90it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.66it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.52it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.42it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.36it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.31it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.28it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.26it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.24it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.23it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.22it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.22it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.21it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.21it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.21it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.21it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.20it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.20it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.20it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.20it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.19it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.19it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.19it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.19it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.18it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.19it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.19it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.20it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.20it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.19it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.18it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.18it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.18it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.18it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.18it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.18it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.18it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.17it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.17it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.16it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.16it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.16it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.16it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.16it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.16it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.16it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.27it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 34/2122 [00:00<00:06, 334.89it/s] MC Level 0.0 Implicit Function:: 3%|▎ | 72/2122 [00:00<00:05, 357.32it/s] MC Level 0.0 Implicit Function:: 5%|▌ | 110/2122 [00:00<00:05, 364.66it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 148/2122 [00:00<00:05, 367.44it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 186/2122 [00:00<00:05, 368.82it/s] MC Level 0.0 Implicit Function:: 11%|█ | 224/2122 [00:00<00:05, 370.19it/s] MC Level 0.0 Implicit Function:: 12%|█▏ | 262/2122 [00:00<00:05, 370.67it/s] MC Level 0.0 Implicit Function:: 14%|█▍ | 300/2122 [00:00<00:04, 370.91it/s] MC Level 0.0 Implicit Function:: 16%|█▌ | 338/2122 [00:00<00:04, 371.25it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 376/2122 [00:01<00:04, 370.95it/s] MC Level 0.0 Implicit Function:: 20%|█▉ | 414/2122 [00:01<00:04, 371.02it/s] MC Level 0.0 Implicit Function:: 21%|██▏ | 452/2122 [00:01<00:04, 371.31it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 490/2122 [00:01<00:04, 371.12it/s] MC Level 0.0 Implicit Function:: 25%|██▍ | 528/2122 [00:01<00:04, 371.24it/s] MC Level 0.0 Implicit Function:: 27%|██▋ | 566/2122 [00:01<00:04, 371.37it/s] MC Level 0.0 Implicit Function:: 28%|██▊ | 604/2122 [00:01<00:04, 371.45it/s] MC Level 0.0 Implicit Function:: 30%|███ | 642/2122 [00:01<00:03, 371.78it/s] MC Level 0.0 Implicit Function:: 32%|███▏ | 680/2122 [00:01<00:03, 372.00it/s] MC Level 0.0 Implicit Function:: 34%|███▍ | 718/2122 [00:01<00:03, 371.69it/s] MC Level 0.0 Implicit Function:: 36%|███▌ | 756/2122 [00:02<00:03, 371.25it/s] MC Level 0.0 Implicit Function:: 37%|███▋ | 794/2122 [00:02<00:03, 371.86it/s] MC Level 0.0 Implicit Function:: 39%|███▉ | 832/2122 [00:02<00:03, 371.96it/s] MC Level 0.0 Implicit Function:: 41%|████ | 870/2122 [00:02<00:03, 371.60it/s] MC Level 0.0 Implicit Function:: 43%|████▎ | 908/2122 [00:02<00:03, 371.30it/s] MC Level 0.0 Implicit Function:: 45%|████▍ | 946/2122 [00:02<00:03, 371.90it/s] MC Level 0.0 Implicit Function:: 46%|████▋ | 984/2122 [00:02<00:03, 371.57it/s] MC Level 0.0 Implicit Function:: 48%|████▊ | 1022/2122 [00:02<00:02, 371.74it/s] MC Level 0.0 Implicit Function:: 50%|████▉ | 1060/2122 [00:02<00:02, 371.74it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1098/2122 [00:02<00:02, 371.51it/s] MC Level 0.0 Implicit Function:: 54%|█████▎ | 1136/2122 [00:03<00:02, 371.48it/s] MC Level 0.0 Implicit Function:: 55%|█████▌ | 1174/2122 [00:03<00:02, 371.85it/s] MC Level 0.0 Implicit Function:: 57%|█████▋ | 1212/2122 [00:03<00:02, 371.70it/s] MC Level 0.0 Implicit Function:: 59%|█████▉ | 1250/2122 [00:03<00:02, 371.29it/s] MC Level 0.0 Implicit Function:: 61%|██████ | 1288/2122 [00:03<00:02, 370.72it/s] MC Level 0.0 Implicit Function:: 62%|██████▏ | 1326/2122 [00:03<00:02, 370.59it/s] MC Level 0.0 Implicit Function:: 64%|██████▍ | 1364/2122 [00:03<00:02, 371.11it/s] MC Level 0.0 Implicit Function:: 66%|██████▌ | 1402/2122 [00:03<00:01, 371.51it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1440/2122 [00:03<00:01, 371.46it/s] MC Level 0.0 Implicit Function:: 70%|██████▉ | 1478/2122 [00:03<00:01, 371.30it/s] MC Level 0.0 Implicit Function:: 71%|███████▏ | 1516/2122 [00:04<00:01, 370.97it/s] MC Level 0.0 Implicit Function:: 73%|███████▎ | 1554/2122 [00:04<00:01, 371.37it/s] MC Level 0.0 Implicit Function:: 75%|███████▌ | 1592/2122 [00:04<00:01, 371.47it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:04<00:01, 371.14it/s] MC Level 0.0 Implicit Function:: 79%|███████▊ | 1668/2122 [00:04<00:01, 370.96it/s] MC Level 0.0 Implicit Function:: 80%|████████ | 1706/2122 [00:04<00:01, 370.18it/s] MC Level 0.0 Implicit Function:: 82%|████████▏ | 1744/2122 [00:04<00:01, 370.27it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1782/2122 [00:04<00:00, 370.52it/s] MC Level 0.0 Implicit Function:: 86%|████████▌ | 1820/2122 [00:04<00:00, 370.49it/s] MC Level 0.0 Implicit Function:: 88%|████████▊ | 1858/2122 [00:05<00:00, 370.76it/s] MC Level 0.0 Implicit Function:: 89%|████████▉ | 1896/2122 [00:05<00:00, 370.46it/s] MC Level 0.0 Implicit Function:: 91%|█████████ | 1934/2122 [00:05<00:00, 370.56it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1972/2122 [00:05<00:00, 370.62it/s] MC Level 0.0 Implicit Function:: 95%|█████████▍| 2010/2122 [00:05<00:00, 370.25it/s] MC Level 0.0 Implicit Function:: 97%|█████████▋| 2048/2122 [00:05<00:00, 370.21it/s] MC Level 0.0 Implicit Function:: 98%|█████████▊| 2086/2122 [00:05<00:00, 370.33it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 370.60it/s]
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbIDsdh6xg7r0hrme0cmy2jt5v0y9wStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY48B1XMqLfox3rqNhQdUZ4gedBAKStkC07xawYAPdy9l20/1022.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTY48B1XMqLfox3rqNhQdUZ4gedBAKStkC07xawYAPdy9l20/1022.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY48B1XMqLfox3rqNhQdUZ4gedBAKStkC07xawYAPdy9l20/1022.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY48B1XMqLfox3rqNhQdUZ4gedBAKStkC07xawYAPdy9l20/1022.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:17:04.089745Z", "created_at": "2025-02-10T16:16:36.356000Z", "data_removed": false, "error": null, "id": "sdh6xg7r0hrme0cmy2jt5v0y9w", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY48B1XMqLfox3rqNhQdUZ4gedBAKStkC07xawYAPdy9l20/1022.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "Using border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.32it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.91it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.20it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.82it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.60it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.45it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.36it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.31it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.26it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.23it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.20it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.19it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.18it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.17it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.16it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.15it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.16it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.14it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.14it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.14it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.14it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.14it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.14it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.13it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.13it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.13it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.13it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.13it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.11it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.12it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.12it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.11it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.10it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.11it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.11it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.12it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.11it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.11it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.11it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.11it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.10it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.10it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.10it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.11it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.10it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.09it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.20it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 38/2122 [00:00<00:05, 376.64it/s]\nMC Level 0.0 Implicit Function:: 4%|▎ | 76/2122 [00:00<00:05, 371.58it/s]\nMC Level 0.0 Implicit Function:: 5%|▌ | 114/2122 [00:00<00:05, 369.35it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 151/2122 [00:00<00:05, 368.42it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 188/2122 [00:00<00:05, 367.75it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 225/2122 [00:00<00:05, 367.49it/s]\nMC Level 0.0 Implicit Function:: 12%|█▏ | 262/2122 [00:00<00:05, 367.57it/s]\nMC Level 0.0 Implicit Function:: 14%|█▍ | 299/2122 [00:00<00:04, 367.34it/s]\nMC Level 0.0 Implicit Function:: 16%|█▌ | 336/2122 [00:00<00:04, 367.45it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 373/2122 [00:01<00:04, 367.26it/s]\nMC Level 0.0 Implicit Function:: 19%|█▉ | 410/2122 [00:01<00:04, 367.17it/s]\nMC Level 0.0 Implicit Function:: 21%|██ | 447/2122 [00:01<00:04, 367.34it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 484/2122 [00:01<00:04, 366.92it/s]\nMC Level 0.0 Implicit Function:: 25%|██▍ | 521/2122 [00:01<00:04, 367.09it/s]\nMC Level 0.0 Implicit Function:: 26%|██▋ | 558/2122 [00:01<00:04, 366.91it/s]\nMC Level 0.0 Implicit Function:: 28%|██▊ | 595/2122 [00:01<00:04, 366.81it/s]\nMC Level 0.0 Implicit Function:: 30%|██▉ | 632/2122 [00:01<00:04, 366.70it/s]\nMC Level 0.0 Implicit Function:: 32%|███▏ | 669/2122 [00:01<00:03, 366.76it/s]\nMC Level 0.0 Implicit Function:: 33%|███▎ | 706/2122 [00:01<00:03, 366.77it/s]\nMC Level 0.0 Implicit Function:: 35%|███▌ | 743/2122 [00:02<00:03, 366.59it/s]\nMC Level 0.0 Implicit Function:: 37%|███▋ | 780/2122 [00:02<00:03, 366.44it/s]\nMC Level 0.0 Implicit Function:: 39%|███▊ | 817/2122 [00:02<00:03, 366.50it/s]\nMC Level 0.0 Implicit Function:: 40%|████ | 854/2122 [00:02<00:03, 366.32it/s]\nMC Level 0.0 Implicit Function:: 42%|████▏ | 891/2122 [00:02<00:03, 366.09it/s]\nMC Level 0.0 Implicit Function:: 44%|████▎ | 928/2122 [00:02<00:03, 365.89it/s]\nMC Level 0.0 Implicit Function:: 45%|████▌ | 965/2122 [00:02<00:03, 366.02it/s]\nMC Level 0.0 Implicit Function:: 47%|████▋ | 1002/2122 [00:02<00:03, 365.62it/s]\nMC Level 0.0 Implicit Function:: 49%|████▉ | 1039/2122 [00:02<00:02, 365.12it/s]\nMC Level 0.0 Implicit Function:: 51%|█████ | 1076/2122 [00:02<00:02, 365.57it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1113/2122 [00:03<00:02, 365.74it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1150/2122 [00:03<00:02, 365.75it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1187/2122 [00:03<00:02, 365.60it/s]\nMC Level 0.0 Implicit Function:: 58%|█████▊ | 1224/2122 [00:03<00:02, 365.39it/s]\nMC Level 0.0 Implicit Function:: 59%|█████▉ | 1261/2122 [00:03<00:02, 365.72it/s]\nMC Level 0.0 Implicit Function:: 61%|██████ | 1298/2122 [00:03<00:02, 365.99it/s]\nMC Level 0.0 Implicit Function:: 63%|██████▎ | 1335/2122 [00:03<00:02, 366.01it/s]\nMC Level 0.0 Implicit Function:: 65%|██████▍ | 1372/2122 [00:03<00:02, 366.15it/s]\nMC Level 0.0 Implicit Function:: 66%|██████▋ | 1409/2122 [00:03<00:01, 365.90it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1446/2122 [00:03<00:01, 366.02it/s]\nMC Level 0.0 Implicit Function:: 70%|██████▉ | 1483/2122 [00:04<00:01, 366.02it/s]\nMC Level 0.0 Implicit Function:: 72%|███████▏ | 1520/2122 [00:04<00:01, 366.21it/s]\nMC Level 0.0 Implicit Function:: 73%|███████▎ | 1557/2122 [00:04<00:01, 366.03it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▌ | 1594/2122 [00:04<00:01, 365.72it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1631/2122 [00:04<00:01, 365.82it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▊ | 1668/2122 [00:04<00:01, 365.62it/s]\nMC Level 0.0 Implicit Function:: 80%|████████ | 1705/2122 [00:04<00:01, 365.74it/s]\nMC Level 0.0 Implicit Function:: 82%|████████▏ | 1742/2122 [00:04<00:01, 365.45it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1779/2122 [00:04<00:00, 365.56it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▌ | 1816/2122 [00:04<00:00, 365.23it/s]\nMC Level 0.0 Implicit Function:: 87%|████████▋ | 1853/2122 [00:05<00:00, 365.10it/s]\nMC Level 0.0 Implicit Function:: 89%|████████▉ | 1890/2122 [00:05<00:00, 364.85it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████ | 1927/2122 [00:05<00:00, 364.94it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1964/2122 [00:05<00:00, 364.72it/s]\nMC Level 0.0 Implicit Function:: 94%|█████████▍| 2001/2122 [00:05<00:00, 364.86it/s]\nMC Level 0.0 Implicit Function:: 96%|█████████▌| 2038/2122 [00:05<00:00, 365.01it/s]\nMC Level 0.0 Implicit Function:: 98%|█████████▊| 2075/2122 [00:05<00:00, 364.83it/s]\nMC Level 0.0 Implicit Function:: 100%|█████████▉| 2112/2122 [00:05<00:00, 364.86it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 366.17it/s]", "metrics": { "predict_time": 27.726168918, "total_time": 27.733745 }, "output": { "mesh": "https://replicate.delivery/xezq/AHgfPyv0GswWRqwEqeywMnHwXpwKpR9LBF9bSaKYfJLAE7boA/gray_mesh.glb" }, "started_at": "2025-02-10T16:16:36.363576Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/sdh6xg7r0hrme0cmy2jt5v0y9w", "cancel": "https://api.replicate.com/v1/predictions/sdh6xg7r0hrme0cmy2jt5v0y9w/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.32it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.91it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.20it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.82it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.60it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.45it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.36it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.31it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.26it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.23it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.20it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.19it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.18it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.17it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.16it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.15it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.16it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.14it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.14it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.14it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.14it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.14it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.14it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.13it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.13it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.13it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.13it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.13it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.11it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.12it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.12it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.11it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.10it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.11it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.11it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.12it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.11it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.11it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.11it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.11it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.10it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.10it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.10it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.11it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.10it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.09it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.20it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 38/2122 [00:00<00:05, 376.64it/s] MC Level 0.0 Implicit Function:: 4%|▎ | 76/2122 [00:00<00:05, 371.58it/s] MC Level 0.0 Implicit Function:: 5%|▌ | 114/2122 [00:00<00:05, 369.35it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 151/2122 [00:00<00:05, 368.42it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 188/2122 [00:00<00:05, 367.75it/s] MC Level 0.0 Implicit Function:: 11%|█ | 225/2122 [00:00<00:05, 367.49it/s] MC Level 0.0 Implicit Function:: 12%|█▏ | 262/2122 [00:00<00:05, 367.57it/s] MC Level 0.0 Implicit Function:: 14%|█▍ | 299/2122 [00:00<00:04, 367.34it/s] MC Level 0.0 Implicit Function:: 16%|█▌ | 336/2122 [00:00<00:04, 367.45it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 373/2122 [00:01<00:04, 367.26it/s] MC Level 0.0 Implicit Function:: 19%|█▉ | 410/2122 [00:01<00:04, 367.17it/s] MC Level 0.0 Implicit Function:: 21%|██ | 447/2122 [00:01<00:04, 367.34it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 484/2122 [00:01<00:04, 366.92it/s] MC Level 0.0 Implicit Function:: 25%|██▍ | 521/2122 [00:01<00:04, 367.09it/s] MC Level 0.0 Implicit Function:: 26%|██▋ | 558/2122 [00:01<00:04, 366.91it/s] MC Level 0.0 Implicit Function:: 28%|██▊ | 595/2122 [00:01<00:04, 366.81it/s] MC Level 0.0 Implicit Function:: 30%|██▉ | 632/2122 [00:01<00:04, 366.70it/s] MC Level 0.0 Implicit Function:: 32%|███▏ | 669/2122 [00:01<00:03, 366.76it/s] MC Level 0.0 Implicit Function:: 33%|███▎ | 706/2122 [00:01<00:03, 366.77it/s] MC Level 0.0 Implicit Function:: 35%|███▌ | 743/2122 [00:02<00:03, 366.59it/s] MC Level 0.0 Implicit Function:: 37%|███▋ | 780/2122 [00:02<00:03, 366.44it/s] MC Level 0.0 Implicit Function:: 39%|███▊ | 817/2122 [00:02<00:03, 366.50it/s] MC Level 0.0 Implicit Function:: 40%|████ | 854/2122 [00:02<00:03, 366.32it/s] MC Level 0.0 Implicit Function:: 42%|████▏ | 891/2122 [00:02<00:03, 366.09it/s] MC Level 0.0 Implicit Function:: 44%|████▎ | 928/2122 [00:02<00:03, 365.89it/s] MC Level 0.0 Implicit Function:: 45%|████▌ | 965/2122 [00:02<00:03, 366.02it/s] MC Level 0.0 Implicit Function:: 47%|████▋ | 1002/2122 [00:02<00:03, 365.62it/s] MC Level 0.0 Implicit Function:: 49%|████▉ | 1039/2122 [00:02<00:02, 365.12it/s] MC Level 0.0 Implicit Function:: 51%|█████ | 1076/2122 [00:02<00:02, 365.57it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1113/2122 [00:03<00:02, 365.74it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1150/2122 [00:03<00:02, 365.75it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1187/2122 [00:03<00:02, 365.60it/s] MC Level 0.0 Implicit Function:: 58%|█████▊ | 1224/2122 [00:03<00:02, 365.39it/s] MC Level 0.0 Implicit Function:: 59%|█████▉ | 1261/2122 [00:03<00:02, 365.72it/s] MC Level 0.0 Implicit Function:: 61%|██████ | 1298/2122 [00:03<00:02, 365.99it/s] MC Level 0.0 Implicit Function:: 63%|██████▎ | 1335/2122 [00:03<00:02, 366.01it/s] MC Level 0.0 Implicit Function:: 65%|██████▍ | 1372/2122 [00:03<00:02, 366.15it/s] MC Level 0.0 Implicit Function:: 66%|██████▋ | 1409/2122 [00:03<00:01, 365.90it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1446/2122 [00:03<00:01, 366.02it/s] MC Level 0.0 Implicit Function:: 70%|██████▉ | 1483/2122 [00:04<00:01, 366.02it/s] MC Level 0.0 Implicit Function:: 72%|███████▏ | 1520/2122 [00:04<00:01, 366.21it/s] MC Level 0.0 Implicit Function:: 73%|███████▎ | 1557/2122 [00:04<00:01, 366.03it/s] MC Level 0.0 Implicit Function:: 75%|███████▌ | 1594/2122 [00:04<00:01, 365.72it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1631/2122 [00:04<00:01, 365.82it/s] MC Level 0.0 Implicit Function:: 79%|███████▊ | 1668/2122 [00:04<00:01, 365.62it/s] MC Level 0.0 Implicit Function:: 80%|████████ | 1705/2122 [00:04<00:01, 365.74it/s] MC Level 0.0 Implicit Function:: 82%|████████▏ | 1742/2122 [00:04<00:01, 365.45it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1779/2122 [00:04<00:00, 365.56it/s] MC Level 0.0 Implicit Function:: 86%|████████▌ | 1816/2122 [00:04<00:00, 365.23it/s] MC Level 0.0 Implicit Function:: 87%|████████▋ | 1853/2122 [00:05<00:00, 365.10it/s] MC Level 0.0 Implicit Function:: 89%|████████▉ | 1890/2122 [00:05<00:00, 364.85it/s] MC Level 0.0 Implicit Function:: 91%|█████████ | 1927/2122 [00:05<00:00, 364.94it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1964/2122 [00:05<00:00, 364.72it/s] MC Level 0.0 Implicit Function:: 94%|█████████▍| 2001/2122 [00:05<00:00, 364.86it/s] MC Level 0.0 Implicit Function:: 96%|█████████▌| 2038/2122 [00:05<00:00, 365.01it/s] MC Level 0.0 Implicit Function:: 98%|█████████▊| 2075/2122 [00:05<00:00, 364.83it/s] MC Level 0.0 Implicit Function:: 100%|█████████▉| 2112/2122 [00:05<00:00, 364.86it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 366.17it/s]
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbIDy6v4tkecexrme0cmy2kbtarse4StatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY50VZbMhWb6CsIva8PUggM7vzKu0S1KrzGY38uDssjauwI/052.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTY50VZbMhWb6CsIva8PUggM7vzKu0S1KrzGY38uDssjauwI/052.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY50VZbMhWb6CsIva8PUggM7vzKu0S1KrzGY38uDssjauwI/052.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY50VZbMhWb6CsIva8PUggM7vzKu0S1KrzGY38uDssjauwI/052.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:18:00.095070Z", "created_at": "2025-02-10T16:17:30.743000Z", "data_removed": false, "error": null, "id": "y6v4tkecexrme0cmy2kbtarse4", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY50VZbMhWb6CsIva8PUggM7vzKu0S1KrzGY38uDssjauwI/052.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "Using border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.34it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.90it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.17it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.78it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.56it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.41it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.31it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.24it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.20it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:02<00:07, 5.18it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.15it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.14it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:07, 5.13it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.12it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.11it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.09it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.09it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.08it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.09it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.10it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.09it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.10it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.09it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.10it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.09it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.08it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.09it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.09it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.08it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.08it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.07it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.06it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.07it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.07it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.07it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.07it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.07it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.07it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.06it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.06it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.06it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.07it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.06it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.06it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.07it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.07it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.06it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.06it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.06it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.16it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 38/2122 [00:00<00:05, 373.18it/s]\nMC Level 0.0 Implicit Function:: 4%|▎ | 76/2122 [00:00<00:05, 368.45it/s]\nMC Level 0.0 Implicit Function:: 5%|▌ | 113/2122 [00:00<00:05, 367.11it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 150/2122 [00:00<00:05, 366.68it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 187/2122 [00:00<00:05, 366.11it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 224/2122 [00:00<00:05, 365.49it/s]\nMC Level 0.0 Implicit Function:: 12%|█▏ | 261/2122 [00:00<00:05, 365.01it/s]\nMC Level 0.0 Implicit Function:: 14%|█▍ | 298/2122 [00:00<00:05, 364.63it/s]\nMC Level 0.0 Implicit Function:: 16%|█▌ | 335/2122 [00:00<00:04, 364.48it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 372/2122 [00:01<00:04, 364.47it/s]\nMC Level 0.0 Implicit Function:: 19%|█▉ | 409/2122 [00:01<00:04, 364.59it/s]\nMC Level 0.0 Implicit Function:: 21%|██ | 446/2122 [00:01<00:04, 364.62it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 483/2122 [00:01<00:04, 364.37it/s]\nMC Level 0.0 Implicit Function:: 25%|██▍ | 520/2122 [00:01<00:04, 364.19it/s]\nMC Level 0.0 Implicit Function:: 26%|██▌ | 557/2122 [00:01<00:04, 363.92it/s]\nMC Level 0.0 Implicit Function:: 28%|██▊ | 594/2122 [00:01<00:04, 363.65it/s]\nMC Level 0.0 Implicit Function:: 30%|██▉ | 631/2122 [00:01<00:04, 363.62it/s]\nMC Level 0.0 Implicit Function:: 31%|███▏ | 668/2122 [00:01<00:03, 364.10it/s]\nMC Level 0.0 Implicit Function:: 33%|███▎ | 705/2122 [00:01<00:03, 364.12it/s]\nMC Level 0.0 Implicit Function:: 35%|███▍ | 742/2122 [00:02<00:03, 363.99it/s]\nMC Level 0.0 Implicit Function:: 37%|███▋ | 779/2122 [00:02<00:03, 363.82it/s]\nMC Level 0.0 Implicit Function:: 38%|███▊ | 816/2122 [00:02<00:03, 363.80it/s]\nMC Level 0.0 Implicit Function:: 40%|████ | 853/2122 [00:02<00:03, 364.20it/s]\nMC Level 0.0 Implicit Function:: 42%|████▏ | 890/2122 [00:02<00:03, 364.33it/s]\nMC Level 0.0 Implicit Function:: 44%|████▎ | 927/2122 [00:02<00:03, 364.41it/s]\nMC Level 0.0 Implicit Function:: 45%|████▌ | 964/2122 [00:02<00:03, 364.07it/s]\nMC Level 0.0 Implicit Function:: 47%|████▋ | 1001/2122 [00:02<00:03, 364.12it/s]\nMC Level 0.0 Implicit Function:: 49%|████▉ | 1038/2122 [00:02<00:02, 363.93it/s]\nMC Level 0.0 Implicit Function:: 51%|█████ | 1075/2122 [00:02<00:02, 363.83it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1112/2122 [00:03<00:02, 363.75it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1149/2122 [00:03<00:02, 363.84it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1186/2122 [00:03<00:02, 363.82it/s]\nMC Level 0.0 Implicit Function:: 58%|█████▊ | 1223/2122 [00:03<00:02, 363.72it/s]\nMC Level 0.0 Implicit Function:: 59%|█████▉ | 1260/2122 [00:03<00:02, 363.53it/s]\nMC Level 0.0 Implicit Function:: 61%|██████ | 1297/2122 [00:03<00:02, 363.71it/s]\nMC Level 0.0 Implicit Function:: 63%|██████▎ | 1334/2122 [00:03<00:02, 363.55it/s]\nMC Level 0.0 Implicit Function:: 65%|██████▍ | 1371/2122 [00:03<00:02, 363.53it/s]\nMC Level 0.0 Implicit Function:: 66%|██████▋ | 1408/2122 [00:03<00:01, 363.38it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1445/2122 [00:03<00:01, 363.52it/s]\nMC Level 0.0 Implicit Function:: 70%|██████▉ | 1482/2122 [00:04<00:01, 363.48it/s]\nMC Level 0.0 Implicit Function:: 72%|███████▏ | 1519/2122 [00:04<00:01, 363.35it/s]\nMC Level 0.0 Implicit Function:: 73%|███████▎ | 1556/2122 [00:04<00:01, 363.24it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▌ | 1593/2122 [00:04<00:01, 363.25it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:04<00:01, 363.30it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▊ | 1667/2122 [00:04<00:01, 363.39it/s]\nMC Level 0.0 Implicit Function:: 80%|████████ | 1704/2122 [00:04<00:01, 363.49it/s]\nMC Level 0.0 Implicit Function:: 82%|████████▏ | 1741/2122 [00:04<00:01, 363.25it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1778/2122 [00:04<00:00, 363.08it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▌ | 1815/2122 [00:04<00:00, 363.04it/s]\nMC Level 0.0 Implicit Function:: 87%|████████▋ | 1852/2122 [00:05<00:00, 363.16it/s]\nMC Level 0.0 Implicit Function:: 89%|████████▉ | 1889/2122 [00:05<00:00, 363.28it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████ | 1926/2122 [00:05<00:00, 363.02it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1963/2122 [00:05<00:00, 362.68it/s]\nMC Level 0.0 Implicit Function:: 94%|█████████▍| 2000/2122 [00:05<00:00, 362.77it/s]\nMC Level 0.0 Implicit Function:: 96%|█████████▌| 2037/2122 [00:05<00:00, 362.67it/s]\nMC Level 0.0 Implicit Function:: 98%|█████████▊| 2074/2122 [00:05<00:00, 362.72it/s]\nMC Level 0.0 Implicit Function:: 99%|█████████▉| 2111/2122 [00:05<00:00, 362.70it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 363.86it/s]", "metrics": { "predict_time": 29.335080032, "total_time": 29.35207 }, "output": { "mesh": "https://replicate.delivery/xezq/fcKretzbMvpTvUfK6uNVpsfDiUOdG00JfkdPNddNFzrHXsvhC/gray_mesh.glb" }, "started_at": "2025-02-10T16:17:30.759990Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/y6v4tkecexrme0cmy2kbtarse4", "cancel": "https://api.replicate.com/v1/predictions/y6v4tkecexrme0cmy2kbtarse4/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.34it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.90it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.17it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.78it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.56it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.41it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.31it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.24it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.20it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:02<00:07, 5.18it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.15it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.14it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:07, 5.13it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.12it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.11it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.09it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.09it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.08it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.09it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.10it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.09it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.10it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.09it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.10it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.09it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.08it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.09it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.09it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.08it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.08it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.07it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.06it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.07it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.07it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.07it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.07it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.07it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.07it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.06it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.06it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.06it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.07it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.06it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.06it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.07it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.07it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.06it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.06it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.06it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.16it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 38/2122 [00:00<00:05, 373.18it/s] MC Level 0.0 Implicit Function:: 4%|▎ | 76/2122 [00:00<00:05, 368.45it/s] MC Level 0.0 Implicit Function:: 5%|▌ | 113/2122 [00:00<00:05, 367.11it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 150/2122 [00:00<00:05, 366.68it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 187/2122 [00:00<00:05, 366.11it/s] MC Level 0.0 Implicit Function:: 11%|█ | 224/2122 [00:00<00:05, 365.49it/s] MC Level 0.0 Implicit Function:: 12%|█▏ | 261/2122 [00:00<00:05, 365.01it/s] MC Level 0.0 Implicit Function:: 14%|█▍ | 298/2122 [00:00<00:05, 364.63it/s] MC Level 0.0 Implicit Function:: 16%|█▌ | 335/2122 [00:00<00:04, 364.48it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 372/2122 [00:01<00:04, 364.47it/s] MC Level 0.0 Implicit Function:: 19%|█▉ | 409/2122 [00:01<00:04, 364.59it/s] MC Level 0.0 Implicit Function:: 21%|██ | 446/2122 [00:01<00:04, 364.62it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 483/2122 [00:01<00:04, 364.37it/s] MC Level 0.0 Implicit Function:: 25%|██▍ | 520/2122 [00:01<00:04, 364.19it/s] MC Level 0.0 Implicit Function:: 26%|██▌ | 557/2122 [00:01<00:04, 363.92it/s] MC Level 0.0 Implicit Function:: 28%|██▊ | 594/2122 [00:01<00:04, 363.65it/s] MC Level 0.0 Implicit Function:: 30%|██▉ | 631/2122 [00:01<00:04, 363.62it/s] MC Level 0.0 Implicit Function:: 31%|███▏ | 668/2122 [00:01<00:03, 364.10it/s] MC Level 0.0 Implicit Function:: 33%|███▎ | 705/2122 [00:01<00:03, 364.12it/s] MC Level 0.0 Implicit Function:: 35%|███▍ | 742/2122 [00:02<00:03, 363.99it/s] MC Level 0.0 Implicit Function:: 37%|███▋ | 779/2122 [00:02<00:03, 363.82it/s] MC Level 0.0 Implicit Function:: 38%|███▊ | 816/2122 [00:02<00:03, 363.80it/s] MC Level 0.0 Implicit Function:: 40%|████ | 853/2122 [00:02<00:03, 364.20it/s] MC Level 0.0 Implicit Function:: 42%|████▏ | 890/2122 [00:02<00:03, 364.33it/s] MC Level 0.0 Implicit Function:: 44%|████▎ | 927/2122 [00:02<00:03, 364.41it/s] MC Level 0.0 Implicit Function:: 45%|████▌ | 964/2122 [00:02<00:03, 364.07it/s] MC Level 0.0 Implicit Function:: 47%|████▋ | 1001/2122 [00:02<00:03, 364.12it/s] MC Level 0.0 Implicit Function:: 49%|████▉ | 1038/2122 [00:02<00:02, 363.93it/s] MC Level 0.0 Implicit Function:: 51%|█████ | 1075/2122 [00:02<00:02, 363.83it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1112/2122 [00:03<00:02, 363.75it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1149/2122 [00:03<00:02, 363.84it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1186/2122 [00:03<00:02, 363.82it/s] MC Level 0.0 Implicit Function:: 58%|█████▊ | 1223/2122 [00:03<00:02, 363.72it/s] MC Level 0.0 Implicit Function:: 59%|█████▉ | 1260/2122 [00:03<00:02, 363.53it/s] MC Level 0.0 Implicit Function:: 61%|██████ | 1297/2122 [00:03<00:02, 363.71it/s] MC Level 0.0 Implicit Function:: 63%|██████▎ | 1334/2122 [00:03<00:02, 363.55it/s] MC Level 0.0 Implicit Function:: 65%|██████▍ | 1371/2122 [00:03<00:02, 363.53it/s] MC Level 0.0 Implicit Function:: 66%|██████▋ | 1408/2122 [00:03<00:01, 363.38it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1445/2122 [00:03<00:01, 363.52it/s] MC Level 0.0 Implicit Function:: 70%|██████▉ | 1482/2122 [00:04<00:01, 363.48it/s] MC Level 0.0 Implicit Function:: 72%|███████▏ | 1519/2122 [00:04<00:01, 363.35it/s] MC Level 0.0 Implicit Function:: 73%|███████▎ | 1556/2122 [00:04<00:01, 363.24it/s] MC Level 0.0 Implicit Function:: 75%|███████▌ | 1593/2122 [00:04<00:01, 363.25it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:04<00:01, 363.30it/s] MC Level 0.0 Implicit Function:: 79%|███████▊ | 1667/2122 [00:04<00:01, 363.39it/s] MC Level 0.0 Implicit Function:: 80%|████████ | 1704/2122 [00:04<00:01, 363.49it/s] MC Level 0.0 Implicit Function:: 82%|████████▏ | 1741/2122 [00:04<00:01, 363.25it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1778/2122 [00:04<00:00, 363.08it/s] MC Level 0.0 Implicit Function:: 86%|████████▌ | 1815/2122 [00:04<00:00, 363.04it/s] MC Level 0.0 Implicit Function:: 87%|████████▋ | 1852/2122 [00:05<00:00, 363.16it/s] MC Level 0.0 Implicit Function:: 89%|████████▉ | 1889/2122 [00:05<00:00, 363.28it/s] MC Level 0.0 Implicit Function:: 91%|█████████ | 1926/2122 [00:05<00:00, 363.02it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1963/2122 [00:05<00:00, 362.68it/s] MC Level 0.0 Implicit Function:: 94%|█████████▍| 2000/2122 [00:05<00:00, 362.77it/s] MC Level 0.0 Implicit Function:: 96%|█████████▌| 2037/2122 [00:05<00:00, 362.67it/s] MC Level 0.0 Implicit Function:: 98%|█████████▊| 2074/2122 [00:05<00:00, 362.72it/s] MC Level 0.0 Implicit Function:: 99%|█████████▉| 2111/2122 [00:05<00:00, 362.70it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 363.86it/s]
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbID2tw2g3az89rmc0cmy2kvy764dmStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY5a9MiDBhiAP6XWezXllrkzlW3DctrKCXNJlBPNIzODDDD/1123.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTY5a9MiDBhiAP6XWezXllrkzlW3DctrKCXNJlBPNIzODDDD/1123.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY5a9MiDBhiAP6XWezXllrkzlW3DctrKCXNJlBPNIzODDDD/1123.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY5a9MiDBhiAP6XWezXllrkzlW3DctrKCXNJlBPNIzODDDD/1123.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:18:30.289607Z", "created_at": "2025-02-10T16:18:08.322000Z", "data_removed": false, "error": null, "id": "2tw2g3az89rmc0cmy2kvy764dm", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY5a9MiDBhiAP6XWezXllrkzlW3DctrKCXNJlBPNIzODDDD/1123.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "Using border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.32it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.91it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.20it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.82it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.59it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.46it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.37it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.30it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.26it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.22it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.21it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.18it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.17it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.16it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.16it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.16it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.15it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.13it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.12it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.11it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.12it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.12it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.11it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.11it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.11it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.10it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.11it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.10it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.10it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.10it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.10it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.10it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.09it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.10it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.10it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.10it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.10it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.11it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.11it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.10it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.10it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.10it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.09it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.10it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.11it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.11it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.10it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.19it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 39/2122 [00:00<00:05, 381.22it/s]\nMC Level 0.0 Implicit Function:: 4%|▎ | 78/2122 [00:00<00:05, 373.10it/s]\nMC Level 0.0 Implicit Function:: 5%|▌ | 116/2122 [00:00<00:05, 370.43it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 154/2122 [00:00<00:05, 369.73it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 191/2122 [00:00<00:05, 369.25it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 228/2122 [00:00<00:05, 368.52it/s]\nMC Level 0.0 Implicit Function:: 12%|█▏ | 265/2122 [00:00<00:05, 368.27it/s]\nMC Level 0.0 Implicit Function:: 14%|█▍ | 302/2122 [00:00<00:04, 368.32it/s]\nMC Level 0.0 Implicit Function:: 16%|█▌ | 339/2122 [00:00<00:04, 368.03it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 376/2122 [00:01<00:04, 368.10it/s]\nMC Level 0.0 Implicit Function:: 19%|█▉ | 413/2122 [00:01<00:04, 368.14it/s]\nMC Level 0.0 Implicit Function:: 21%|██ | 450/2122 [00:01<00:04, 368.37it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 487/2122 [00:01<00:04, 368.27it/s]\nMC Level 0.0 Implicit Function:: 25%|██▍ | 524/2122 [00:01<00:04, 368.54it/s]\nMC Level 0.0 Implicit Function:: 26%|██▋ | 561/2122 [00:01<00:04, 368.30it/s]\nMC Level 0.0 Implicit Function:: 28%|██▊ | 598/2122 [00:01<00:04, 368.24it/s]\nMC Level 0.0 Implicit Function:: 30%|██▉ | 635/2122 [00:01<00:04, 368.29it/s]\nMC Level 0.0 Implicit Function:: 32%|███▏ | 672/2122 [00:01<00:03, 368.24it/s]\nMC Level 0.0 Implicit Function:: 33%|███▎ | 709/2122 [00:01<00:03, 368.33it/s]\nMC Level 0.0 Implicit Function:: 35%|███▌ | 746/2122 [00:02<00:03, 368.17it/s]\nMC Level 0.0 Implicit Function:: 37%|███▋ | 783/2122 [00:02<00:03, 368.35it/s]\nMC Level 0.0 Implicit Function:: 39%|███▊ | 820/2122 [00:02<00:03, 368.12it/s]\nMC Level 0.0 Implicit Function:: 40%|████ | 857/2122 [00:02<00:03, 368.39it/s]\nMC Level 0.0 Implicit Function:: 42%|████▏ | 894/2122 [00:02<00:03, 368.23it/s]\nMC Level 0.0 Implicit Function:: 44%|████▍ | 931/2122 [00:02<00:03, 368.22it/s]\nMC Level 0.0 Implicit Function:: 46%|████▌ | 968/2122 [00:02<00:03, 368.22it/s]\nMC Level 0.0 Implicit Function:: 47%|████▋ | 1005/2122 [00:02<00:03, 368.36it/s]\nMC Level 0.0 Implicit Function:: 49%|████▉ | 1042/2122 [00:02<00:02, 368.19it/s]\nMC Level 0.0 Implicit Function:: 51%|█████ | 1079/2122 [00:02<00:02, 367.95it/s]\nMC Level 0.0 Implicit Function:: 53%|█████▎ | 1116/2122 [00:03<00:02, 367.96it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1153/2122 [00:03<00:02, 367.88it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1190/2122 [00:03<00:02, 367.87it/s]\nMC Level 0.0 Implicit Function:: 58%|█████▊ | 1227/2122 [00:03<00:02, 368.03it/s]\nMC Level 0.0 Implicit Function:: 60%|█████▉ | 1264/2122 [00:03<00:02, 367.87it/s]\nMC Level 0.0 Implicit Function:: 61%|██████▏ | 1301/2122 [00:03<00:02, 367.96it/s]\nMC Level 0.0 Implicit Function:: 63%|██████▎ | 1338/2122 [00:03<00:02, 367.53it/s]\nMC Level 0.0 Implicit Function:: 65%|██████▍ | 1375/2122 [00:03<00:02, 367.33it/s]\nMC Level 0.0 Implicit Function:: 67%|██████▋ | 1412/2122 [00:03<00:01, 367.92it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1449/2122 [00:03<00:01, 367.71it/s]\nMC Level 0.0 Implicit Function:: 70%|███████ | 1486/2122 [00:04<00:01, 366.68it/s]\nMC Level 0.0 Implicit Function:: 72%|███████▏ | 1523/2122 [00:04<00:01, 367.21it/s]\nMC Level 0.0 Implicit Function:: 74%|███████▎ | 1560/2122 [00:04<00:01, 367.33it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▌ | 1597/2122 [00:04<00:01, 367.28it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1634/2122 [00:04<00:01, 366.97it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▊ | 1671/2122 [00:04<00:01, 367.12it/s]\nMC Level 0.0 Implicit Function:: 80%|████████ | 1708/2122 [00:04<00:01, 367.20it/s]\nMC Level 0.0 Implicit Function:: 82%|████████▏ | 1745/2122 [00:04<00:01, 366.90it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1782/2122 [00:04<00:00, 366.85it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▌ | 1819/2122 [00:04<00:00, 366.54it/s]\nMC Level 0.0 Implicit Function:: 87%|████████▋ | 1856/2122 [00:05<00:00, 366.41it/s]\nMC Level 0.0 Implicit Function:: 89%|████████▉ | 1893/2122 [00:05<00:00, 366.79it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████ | 1930/2122 [00:05<00:00, 366.79it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1967/2122 [00:05<00:00, 367.04it/s]\nMC Level 0.0 Implicit Function:: 94%|█████████▍| 2004/2122 [00:05<00:00, 366.91it/s]\nMC Level 0.0 Implicit Function:: 96%|█████████▌| 2041/2122 [00:05<00:00, 366.88it/s]\nMC Level 0.0 Implicit Function:: 98%|█████████▊| 2078/2122 [00:05<00:00, 366.45it/s]\nMC Level 0.0 Implicit Function:: 100%|█████████▉| 2115/2122 [00:05<00:00, 366.61it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 367.83it/s]", "metrics": { "predict_time": 21.959524886, "total_time": 21.967607 }, "output": { "mesh": "https://replicate.delivery/xezq/xrulKuMnJW6tCN5q5VQwGRjb9i8QLKvPSNA7encgUxGrxeNUA/gray_mesh.glb" }, "started_at": "2025-02-10T16:18:08.330082Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/2tw2g3az89rmc0cmy2kvy764dm", "cancel": "https://api.replicate.com/v1/predictions/2tw2g3az89rmc0cmy2kvy764dm/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:09, 5.32it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.91it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.20it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.82it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.59it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.46it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.37it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.30it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.26it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.22it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.21it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.18it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.17it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.16it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.16it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.16it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.15it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:06, 5.13it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.12it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.11it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.12it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.12it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:05, 5.11it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.11it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.11it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.10it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.11it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.10it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.10it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.10it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.10it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.10it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.09it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.10it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.10it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:07<00:02, 5.10it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.10it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.11it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.11it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.10it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:08<00:01, 5.10it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.10it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.09it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.10it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.11it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.11it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.10it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.19it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 39/2122 [00:00<00:05, 381.22it/s] MC Level 0.0 Implicit Function:: 4%|▎ | 78/2122 [00:00<00:05, 373.10it/s] MC Level 0.0 Implicit Function:: 5%|▌ | 116/2122 [00:00<00:05, 370.43it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 154/2122 [00:00<00:05, 369.73it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 191/2122 [00:00<00:05, 369.25it/s] MC Level 0.0 Implicit Function:: 11%|█ | 228/2122 [00:00<00:05, 368.52it/s] MC Level 0.0 Implicit Function:: 12%|█▏ | 265/2122 [00:00<00:05, 368.27it/s] MC Level 0.0 Implicit Function:: 14%|█▍ | 302/2122 [00:00<00:04, 368.32it/s] MC Level 0.0 Implicit Function:: 16%|█▌ | 339/2122 [00:00<00:04, 368.03it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 376/2122 [00:01<00:04, 368.10it/s] MC Level 0.0 Implicit Function:: 19%|█▉ | 413/2122 [00:01<00:04, 368.14it/s] MC Level 0.0 Implicit Function:: 21%|██ | 450/2122 [00:01<00:04, 368.37it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 487/2122 [00:01<00:04, 368.27it/s] MC Level 0.0 Implicit Function:: 25%|██▍ | 524/2122 [00:01<00:04, 368.54it/s] MC Level 0.0 Implicit Function:: 26%|██▋ | 561/2122 [00:01<00:04, 368.30it/s] MC Level 0.0 Implicit Function:: 28%|██▊ | 598/2122 [00:01<00:04, 368.24it/s] MC Level 0.0 Implicit Function:: 30%|██▉ | 635/2122 [00:01<00:04, 368.29it/s] MC Level 0.0 Implicit Function:: 32%|███▏ | 672/2122 [00:01<00:03, 368.24it/s] MC Level 0.0 Implicit Function:: 33%|███▎ | 709/2122 [00:01<00:03, 368.33it/s] MC Level 0.0 Implicit Function:: 35%|███▌ | 746/2122 [00:02<00:03, 368.17it/s] MC Level 0.0 Implicit Function:: 37%|███▋ | 783/2122 [00:02<00:03, 368.35it/s] MC Level 0.0 Implicit Function:: 39%|███▊ | 820/2122 [00:02<00:03, 368.12it/s] MC Level 0.0 Implicit Function:: 40%|████ | 857/2122 [00:02<00:03, 368.39it/s] MC Level 0.0 Implicit Function:: 42%|████▏ | 894/2122 [00:02<00:03, 368.23it/s] MC Level 0.0 Implicit Function:: 44%|████▍ | 931/2122 [00:02<00:03, 368.22it/s] MC Level 0.0 Implicit Function:: 46%|████▌ | 968/2122 [00:02<00:03, 368.22it/s] MC Level 0.0 Implicit Function:: 47%|████▋ | 1005/2122 [00:02<00:03, 368.36it/s] MC Level 0.0 Implicit Function:: 49%|████▉ | 1042/2122 [00:02<00:02, 368.19it/s] MC Level 0.0 Implicit Function:: 51%|█████ | 1079/2122 [00:02<00:02, 367.95it/s] MC Level 0.0 Implicit Function:: 53%|█████▎ | 1116/2122 [00:03<00:02, 367.96it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1153/2122 [00:03<00:02, 367.88it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1190/2122 [00:03<00:02, 367.87it/s] MC Level 0.0 Implicit Function:: 58%|█████▊ | 1227/2122 [00:03<00:02, 368.03it/s] MC Level 0.0 Implicit Function:: 60%|█████▉ | 1264/2122 [00:03<00:02, 367.87it/s] MC Level 0.0 Implicit Function:: 61%|██████▏ | 1301/2122 [00:03<00:02, 367.96it/s] MC Level 0.0 Implicit Function:: 63%|██████▎ | 1338/2122 [00:03<00:02, 367.53it/s] MC Level 0.0 Implicit Function:: 65%|██████▍ | 1375/2122 [00:03<00:02, 367.33it/s] MC Level 0.0 Implicit Function:: 67%|██████▋ | 1412/2122 [00:03<00:01, 367.92it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1449/2122 [00:03<00:01, 367.71it/s] MC Level 0.0 Implicit Function:: 70%|███████ | 1486/2122 [00:04<00:01, 366.68it/s] MC Level 0.0 Implicit Function:: 72%|███████▏ | 1523/2122 [00:04<00:01, 367.21it/s] MC Level 0.0 Implicit Function:: 74%|███████▎ | 1560/2122 [00:04<00:01, 367.33it/s] MC Level 0.0 Implicit Function:: 75%|███████▌ | 1597/2122 [00:04<00:01, 367.28it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1634/2122 [00:04<00:01, 366.97it/s] MC Level 0.0 Implicit Function:: 79%|███████▊ | 1671/2122 [00:04<00:01, 367.12it/s] MC Level 0.0 Implicit Function:: 80%|████████ | 1708/2122 [00:04<00:01, 367.20it/s] MC Level 0.0 Implicit Function:: 82%|████████▏ | 1745/2122 [00:04<00:01, 366.90it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1782/2122 [00:04<00:00, 366.85it/s] MC Level 0.0 Implicit Function:: 86%|████████▌ | 1819/2122 [00:04<00:00, 366.54it/s] MC Level 0.0 Implicit Function:: 87%|████████▋ | 1856/2122 [00:05<00:00, 366.41it/s] MC Level 0.0 Implicit Function:: 89%|████████▉ | 1893/2122 [00:05<00:00, 366.79it/s] MC Level 0.0 Implicit Function:: 91%|█████████ | 1930/2122 [00:05<00:00, 366.79it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1967/2122 [00:05<00:00, 367.04it/s] MC Level 0.0 Implicit Function:: 94%|█████████▍| 2004/2122 [00:05<00:00, 366.91it/s] MC Level 0.0 Implicit Function:: 96%|█████████▌| 2041/2122 [00:05<00:00, 366.88it/s] MC Level 0.0 Implicit Function:: 98%|█████████▊| 2078/2122 [00:05<00:00, 366.45it/s] MC Level 0.0 Implicit Function:: 100%|█████████▉| 2115/2122 [00:05<00:00, 366.61it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 367.83it/s]
Prediction
tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cbIDc3d1hxarwnrm80cmy2mbwx6f0mStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY6b80dUi29DIMvjbfsXOj4QQE9vigLQx2KFY8hOxtMSGPF/1234.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MTY6b80dUi29DIMvjbfsXOj4QQE9vigLQx2KFY8hOxtMSGPF/1234.png", steps: 50, guidance_scale: 5.5, octree_resolution: 256, remove_background: true } } ); 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 replicate
Import the client:import replicate
Run tencent/hunyuan3d-2 using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY6b80dUi29DIMvjbfsXOj4QQE9vigLQx2KFY8hOxtMSGPF/1234.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": True } ) print(output)
To learn more, take a look at the guide on getting started with Python.
Run tencent/hunyuan3d-2 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": "tencent/hunyuan3d-2:b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY6b80dUi29DIMvjbfsXOj4QQE9vigLQx2KFY8hOxtMSGPF/1234.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true } }' \ https://api.replicate.com/v1/predictions
To learn more, take a look at Replicate’s HTTP API reference docs.
Output
Loading...{ "completed_at": "2025-02-10T16:19:41.227688Z", "created_at": "2025-02-10T16:19:12.229000Z", "data_removed": false, "error": null, "id": "c3d1hxarwnrm80cmy2mbwx6f0m", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MTY6b80dUi29DIMvjbfsXOj4QQE9vigLQx2KFY8hOxtMSGPF/1234.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }, "logs": "Using border_ratio from init: 0.15\nDiffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s]\nDiffusion Sampling:: 2%|▏ | 1/50 [00:00<00:10, 4.87it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.76it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.15it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.80it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.60it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.47it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.39it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.34it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.30it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.29it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.29it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.27it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.27it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.26it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.24it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.24it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.25it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.24it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.23it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.22it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.21it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.21it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:04, 5.21it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.21it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.21it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.22it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.22it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.22it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.22it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.21it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.22it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.22it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.23it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.23it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.24it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.25it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.24it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.24it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.25it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.25it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.24it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.23it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.23it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.22it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.22it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.23it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.23it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.22it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.22it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.29it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 39/2122 [00:00<00:05, 386.02it/s]\nMC Level 0.0 Implicit Function:: 4%|▎ | 78/2122 [00:00<00:05, 379.22it/s]\nMC Level 0.0 Implicit Function:: 5%|▌ | 116/2122 [00:00<00:05, 377.44it/s]\nMC Level 0.0 Implicit Function:: 7%|▋ | 154/2122 [00:00<00:05, 376.77it/s]\nMC Level 0.0 Implicit Function:: 9%|▉ | 192/2122 [00:00<00:05, 375.32it/s]\nMC Level 0.0 Implicit Function:: 11%|█ | 230/2122 [00:00<00:05, 374.98it/s]\nMC Level 0.0 Implicit Function:: 13%|█▎ | 268/2122 [00:00<00:04, 374.76it/s]\nMC Level 0.0 Implicit Function:: 14%|█▍ | 306/2122 [00:00<00:04, 373.84it/s]\nMC Level 0.0 Implicit Function:: 16%|█▌ | 344/2122 [00:00<00:04, 374.39it/s]\nMC Level 0.0 Implicit Function:: 18%|█▊ | 382/2122 [00:01<00:04, 373.86it/s]\nMC Level 0.0 Implicit Function:: 20%|█▉ | 420/2122 [00:01<00:04, 374.67it/s]\nMC Level 0.0 Implicit Function:: 22%|██▏ | 458/2122 [00:01<00:04, 375.34it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 496/2122 [00:01<00:04, 375.29it/s]\nMC Level 0.0 Implicit Function:: 25%|██▌ | 534/2122 [00:01<00:04, 375.37it/s]\nMC Level 0.0 Implicit Function:: 27%|██▋ | 572/2122 [00:01<00:04, 375.31it/s]\nMC Level 0.0 Implicit Function:: 29%|██▊ | 610/2122 [00:01<00:04, 375.03it/s]\nMC Level 0.0 Implicit Function:: 31%|███ | 648/2122 [00:01<00:03, 374.99it/s]\nMC Level 0.0 Implicit Function:: 32%|███▏ | 686/2122 [00:01<00:03, 374.10it/s]\nMC Level 0.0 Implicit Function:: 34%|███▍ | 724/2122 [00:01<00:03, 374.05it/s]\nMC Level 0.0 Implicit Function:: 36%|███▌ | 762/2122 [00:02<00:03, 373.59it/s]\nMC Level 0.0 Implicit Function:: 38%|███▊ | 800/2122 [00:02<00:03, 373.03it/s]\nMC Level 0.0 Implicit Function:: 39%|███▉ | 838/2122 [00:02<00:03, 373.38it/s]\nMC Level 0.0 Implicit Function:: 41%|████▏ | 876/2122 [00:02<00:03, 373.62it/s]\nMC Level 0.0 Implicit Function:: 43%|████▎ | 914/2122 [00:02<00:03, 373.83it/s]\nMC Level 0.0 Implicit Function:: 45%|████▍ | 952/2122 [00:02<00:03, 373.78it/s]\nMC Level 0.0 Implicit Function:: 47%|████▋ | 990/2122 [00:02<00:03, 372.98it/s]\nMC Level 0.0 Implicit Function:: 48%|████▊ | 1028/2122 [00:02<00:02, 372.84it/s]\nMC Level 0.0 Implicit Function:: 50%|█████ | 1066/2122 [00:02<00:02, 373.29it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1104/2122 [00:02<00:02, 373.03it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1142/2122 [00:03<00:02, 373.60it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1180/2122 [00:03<00:02, 373.09it/s]\nMC Level 0.0 Implicit Function:: 57%|█████▋ | 1218/2122 [00:03<00:02, 372.69it/s]\nMC Level 0.0 Implicit Function:: 59%|█████▉ | 1256/2122 [00:03<00:02, 373.79it/s]\nMC Level 0.0 Implicit Function:: 61%|██████ | 1294/2122 [00:03<00:02, 374.13it/s]\nMC Level 0.0 Implicit Function:: 63%|██████▎ | 1332/2122 [00:03<00:02, 374.37it/s]\nMC Level 0.0 Implicit Function:: 65%|██████▍ | 1370/2122 [00:03<00:02, 373.94it/s]\nMC Level 0.0 Implicit Function:: 66%|██████▋ | 1408/2122 [00:03<00:01, 373.99it/s]\nMC Level 0.0 Implicit Function:: 68%|██████▊ | 1446/2122 [00:03<00:01, 374.14it/s]\nMC Level 0.0 Implicit Function:: 70%|██████▉ | 1484/2122 [00:03<00:01, 373.00it/s]\nMC Level 0.0 Implicit Function:: 72%|███████▏ | 1522/2122 [00:04<00:01, 372.55it/s]\nMC Level 0.0 Implicit Function:: 74%|███████▎ | 1560/2122 [00:04<00:01, 372.82it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▌ | 1598/2122 [00:04<00:01, 372.18it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1636/2122 [00:04<00:01, 372.15it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▉ | 1674/2122 [00:04<00:01, 373.05it/s]\nMC Level 0.0 Implicit Function:: 81%|████████ | 1712/2122 [00:04<00:01, 373.10it/s]\nMC Level 0.0 Implicit Function:: 82%|████████▏ | 1750/2122 [00:04<00:00, 373.37it/s]\nMC Level 0.0 Implicit Function:: 84%|████████▍ | 1788/2122 [00:04<00:00, 373.78it/s]\nMC Level 0.0 Implicit Function:: 86%|████████▌ | 1826/2122 [00:04<00:00, 373.77it/s]\nMC Level 0.0 Implicit Function:: 88%|████████▊ | 1864/2122 [00:04<00:00, 373.04it/s]\nMC Level 0.0 Implicit Function:: 90%|████████▉ | 1902/2122 [00:05<00:00, 373.06it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████▏| 1940/2122 [00:05<00:00, 372.29it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1978/2122 [00:05<00:00, 372.66it/s]\nMC Level 0.0 Implicit Function:: 95%|█████████▌| 2016/2122 [00:05<00:00, 373.04it/s]\nMC Level 0.0 Implicit Function:: 97%|█████████▋| 2054/2122 [00:05<00:00, 372.97it/s]\nMC Level 0.0 Implicit Function:: 99%|█████████▊| 2092/2122 [00:05<00:00, 372.46it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 373.45it/s]", "metrics": { "predict_time": 28.988806548, "total_time": 28.998688 }, "output": { "mesh": "https://replicate.delivery/xezq/pouRi2bZOxI0L13LTSRQhyCsXZZVegDngCa74ZshJHmOyeNUA/gray_mesh.glb" }, "started_at": "2025-02-10T16:19:12.238881Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/c3d1hxarwnrm80cmy2mbwx6f0m", "cancel": "https://api.replicate.com/v1/predictions/c3d1hxarwnrm80cmy2mbwx6f0m/cancel" }, "version": "b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:10, 4.87it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:06, 6.76it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:07, 6.15it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:07, 5.80it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:01<00:07, 5.60it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:01<00:07, 5.47it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:07, 5.39it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:07, 5.34it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:07, 5.30it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:07, 5.29it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:02<00:07, 5.29it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:02<00:07, 5.27it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:06, 5.27it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:06, 5.26it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:06, 5.24it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:03<00:06, 5.24it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:03<00:06, 5.25it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:03<00:05, 5.24it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:03<00:05, 5.23it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:05, 5.22it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:04<00:05, 5.21it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:04<00:05, 5.21it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:04<00:04, 5.21it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:04<00:04, 5.21it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:04<00:04, 5.21it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:05<00:04, 5.22it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:05<00:04, 5.22it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:05<00:04, 5.22it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:05<00:03, 5.22it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:05<00:03, 5.21it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:06<00:03, 5.22it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:06<00:03, 5.22it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:06<00:03, 5.23it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:06<00:02, 5.23it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:06<00:02, 5.24it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:06<00:02, 5.25it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:07<00:02, 5.24it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:07<00:02, 5.24it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:07<00:01, 5.25it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:07<00:01, 5.25it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:07<00:01, 5.24it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:08<00:01, 5.23it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:08<00:01, 5.23it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:08<00:00, 5.22it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:08<00:00, 5.22it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:08<00:00, 5.23it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:09<00:00, 5.23it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:09<00:00, 5.22it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.22it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:09<00:00, 5.29it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 39/2122 [00:00<00:05, 386.02it/s] MC Level 0.0 Implicit Function:: 4%|▎ | 78/2122 [00:00<00:05, 379.22it/s] MC Level 0.0 Implicit Function:: 5%|▌ | 116/2122 [00:00<00:05, 377.44it/s] MC Level 0.0 Implicit Function:: 7%|▋ | 154/2122 [00:00<00:05, 376.77it/s] MC Level 0.0 Implicit Function:: 9%|▉ | 192/2122 [00:00<00:05, 375.32it/s] MC Level 0.0 Implicit Function:: 11%|█ | 230/2122 [00:00<00:05, 374.98it/s] MC Level 0.0 Implicit Function:: 13%|█▎ | 268/2122 [00:00<00:04, 374.76it/s] MC Level 0.0 Implicit Function:: 14%|█▍ | 306/2122 [00:00<00:04, 373.84it/s] MC Level 0.0 Implicit Function:: 16%|█▌ | 344/2122 [00:00<00:04, 374.39it/s] MC Level 0.0 Implicit Function:: 18%|█▊ | 382/2122 [00:01<00:04, 373.86it/s] MC Level 0.0 Implicit Function:: 20%|█▉ | 420/2122 [00:01<00:04, 374.67it/s] MC Level 0.0 Implicit Function:: 22%|██▏ | 458/2122 [00:01<00:04, 375.34it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 496/2122 [00:01<00:04, 375.29it/s] MC Level 0.0 Implicit Function:: 25%|██▌ | 534/2122 [00:01<00:04, 375.37it/s] MC Level 0.0 Implicit Function:: 27%|██▋ | 572/2122 [00:01<00:04, 375.31it/s] MC Level 0.0 Implicit Function:: 29%|██▊ | 610/2122 [00:01<00:04, 375.03it/s] MC Level 0.0 Implicit Function:: 31%|███ | 648/2122 [00:01<00:03, 374.99it/s] MC Level 0.0 Implicit Function:: 32%|███▏ | 686/2122 [00:01<00:03, 374.10it/s] MC Level 0.0 Implicit Function:: 34%|███▍ | 724/2122 [00:01<00:03, 374.05it/s] MC Level 0.0 Implicit Function:: 36%|███▌ | 762/2122 [00:02<00:03, 373.59it/s] MC Level 0.0 Implicit Function:: 38%|███▊ | 800/2122 [00:02<00:03, 373.03it/s] MC Level 0.0 Implicit Function:: 39%|███▉ | 838/2122 [00:02<00:03, 373.38it/s] MC Level 0.0 Implicit Function:: 41%|████▏ | 876/2122 [00:02<00:03, 373.62it/s] MC Level 0.0 Implicit Function:: 43%|████▎ | 914/2122 [00:02<00:03, 373.83it/s] MC Level 0.0 Implicit Function:: 45%|████▍ | 952/2122 [00:02<00:03, 373.78it/s] MC Level 0.0 Implicit Function:: 47%|████▋ | 990/2122 [00:02<00:03, 372.98it/s] MC Level 0.0 Implicit Function:: 48%|████▊ | 1028/2122 [00:02<00:02, 372.84it/s] MC Level 0.0 Implicit Function:: 50%|█████ | 1066/2122 [00:02<00:02, 373.29it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1104/2122 [00:02<00:02, 373.03it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1142/2122 [00:03<00:02, 373.60it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1180/2122 [00:03<00:02, 373.09it/s] MC Level 0.0 Implicit Function:: 57%|█████▋ | 1218/2122 [00:03<00:02, 372.69it/s] MC Level 0.0 Implicit Function:: 59%|█████▉ | 1256/2122 [00:03<00:02, 373.79it/s] MC Level 0.0 Implicit Function:: 61%|██████ | 1294/2122 [00:03<00:02, 374.13it/s] MC Level 0.0 Implicit Function:: 63%|██████▎ | 1332/2122 [00:03<00:02, 374.37it/s] MC Level 0.0 Implicit Function:: 65%|██████▍ | 1370/2122 [00:03<00:02, 373.94it/s] MC Level 0.0 Implicit Function:: 66%|██████▋ | 1408/2122 [00:03<00:01, 373.99it/s] MC Level 0.0 Implicit Function:: 68%|██████▊ | 1446/2122 [00:03<00:01, 374.14it/s] MC Level 0.0 Implicit Function:: 70%|██████▉ | 1484/2122 [00:03<00:01, 373.00it/s] MC Level 0.0 Implicit Function:: 72%|███████▏ | 1522/2122 [00:04<00:01, 372.55it/s] MC Level 0.0 Implicit Function:: 74%|███████▎ | 1560/2122 [00:04<00:01, 372.82it/s] MC Level 0.0 Implicit Function:: 75%|███████▌ | 1598/2122 [00:04<00:01, 372.18it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1636/2122 [00:04<00:01, 372.15it/s] MC Level 0.0 Implicit Function:: 79%|███████▉ | 1674/2122 [00:04<00:01, 373.05it/s] MC Level 0.0 Implicit Function:: 81%|████████ | 1712/2122 [00:04<00:01, 373.10it/s] MC Level 0.0 Implicit Function:: 82%|████████▏ | 1750/2122 [00:04<00:00, 373.37it/s] MC Level 0.0 Implicit Function:: 84%|████████▍ | 1788/2122 [00:04<00:00, 373.78it/s] MC Level 0.0 Implicit Function:: 86%|████████▌ | 1826/2122 [00:04<00:00, 373.77it/s] MC Level 0.0 Implicit Function:: 88%|████████▊ | 1864/2122 [00:04<00:00, 373.04it/s] MC Level 0.0 Implicit Function:: 90%|████████▉ | 1902/2122 [00:05<00:00, 373.06it/s] MC Level 0.0 Implicit Function:: 91%|█████████▏| 1940/2122 [00:05<00:00, 372.29it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1978/2122 [00:05<00:00, 372.66it/s] MC Level 0.0 Implicit Function:: 95%|█████████▌| 2016/2122 [00:05<00:00, 373.04it/s] MC Level 0.0 Implicit Function:: 97%|█████████▋| 2054/2122 [00:05<00:00, 372.97it/s] MC Level 0.0 Implicit Function:: 99%|█████████▊| 2092/2122 [00:05<00:00, 372.46it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:05<00:00, 373.45it/s]
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