tencent/hunyuan3d-2 🔢🖼️❓✓ → ❓

▶️ 2.8K runs 📅 Feb 2025 ⚙️ Cog 0.13.7 🔗 GitHub 📄 Paper ⚖️ License
3d-mesh-generation game-asset-generation image-to-3d

About

Scaling Diffusion Models for High Resolution Textured 3D Assets Generation

Example Output

Output

Performance Metrics

27.69s Prediction Time
169.80s Total Time
All Input Parameters
{
  "seed": 1234,
  "image": "https://replicate.delivery/pbxt/MTXzbLBT7u5K94G3SnW61H37xL4zVyC4PZuwZAki3pxlgvK5/419.png",
  "steps": 50,
  "guidance_scale": 5.5,
  "octree_resolution": 256,
  "remove_background": true
}
Input Parameters
seed Type: integerDefault: 1234
Random seed for generation
image Type: string
Input image for generating 3D shape
steps Type: integerDefault: 50Range: 20 - 50
Number of inference steps
guidance_scale Type: numberDefault: 5.5Range: 1 - 20
Guidance scale for generation
octree_resolution Default: 256
Octree resolution for mesh generation
remove_background Type: booleanDefault: true
Whether to remove background from input image
Output Schema
mesh Type: stringFormat: uri
Mesh
Example Execution 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
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]
Version Details
Version ID
b1b9449a1277e10402781c5d41eb30c0a0683504fb23fab591ca9dfc2aabe1cb
Version Created
February 10, 2025
Run on Replicate →