ndreca
/
hunyuan3d-2-test
- Public
- 188 runs
-
L40S
Prediction
ndreca/hunyuan3d-2-test:6f8a3828IDysdprkgdb1rme0cna6jtz7sjwcStatusSucceededSourceWebHardwareL40STotal durationCreatedInput
{ "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.png", "steps": 50, "guidance_scale": 5.5, "octree_resolution": 256, "remove_background": true }
Install Replicate’s Node.js client library:npm install replicate
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import and set up the client:import Replicate from "replicate"; const replicate = new Replicate({ auth: process.env.REPLICATE_API_TOKEN, });
Run ndreca/hunyuan3d-2-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
const output = await replicate.run( "ndreca/hunyuan3d-2-test:6f8a38285dceaf31d2bba91efcdcff97f05105654cf7552e680cc32214f02693", { input: { seed: 1234, image: "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.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
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Import the client:import replicate
Run ndreca/hunyuan3d-2-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run( "ndreca/hunyuan3d-2-test:6f8a38285dceaf31d2bba91efcdcff97f05105654cf7552e680cc32214f02693", input={ "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.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.
Set theREPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
Run ndreca/hunyuan3d-2-test using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
curl -s -X POST \ -H "Authorization: Bearer $REPLICATE_API_TOKEN" \ -H "Content-Type: application/json" \ -H "Prefer: wait" \ -d $'{ "version": "6f8a38285dceaf31d2bba91efcdcff97f05105654cf7552e680cc32214f02693", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.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": "2025-03-01T12:23:03.948497Z", "created_at": "2025-03-01T12:18:46.232000Z", "data_removed": false, "error": null, "id": "ysdprkgdb1rme0cna6jtz7sjwc", "input": { "seed": 1234, "image": "https://replicate.delivery/pbxt/MVC2B2XKgv4X13qIpW6t2m59EVfY2CqaS9e2CSsWNHPJjQAd/image.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<00:08, 6.04it/s]\nDiffusion Sampling:: 6%|▌ | 3/50 [00:00<00:05, 8.61it/s]\nDiffusion Sampling:: 8%|▊ | 4/50 [00:00<00:05, 7.86it/s]\nDiffusion Sampling:: 10%|█ | 5/50 [00:00<00:06, 7.45it/s]\nDiffusion Sampling:: 12%|█▏ | 6/50 [00:00<00:06, 7.19it/s]\nDiffusion Sampling:: 14%|█▍ | 7/50 [00:00<00:06, 7.04it/s]\nDiffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:06, 6.94it/s]\nDiffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:05, 6.87it/s]\nDiffusion Sampling:: 20%|██ | 10/50 [00:01<00:05, 6.82it/s]\nDiffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:05, 6.79it/s]\nDiffusion Sampling:: 24%|██▍ | 12/50 [00:01<00:05, 6.76it/s]\nDiffusion Sampling:: 26%|██▌ | 13/50 [00:01<00:05, 6.74it/s]\nDiffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:05, 6.72it/s]\nDiffusion Sampling:: 30%|███ | 15/50 [00:02<00:05, 6.71it/s]\nDiffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:05, 6.71it/s]\nDiffusion Sampling:: 34%|███▍ | 17/50 [00:02<00:04, 6.70it/s]\nDiffusion Sampling:: 36%|███▌ | 18/50 [00:02<00:04, 6.70it/s]\nDiffusion Sampling:: 38%|███▊ | 19/50 [00:02<00:04, 6.70it/s]\nDiffusion Sampling:: 40%|████ | 20/50 [00:02<00:04, 6.70it/s]\nDiffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:04, 6.69it/s]\nDiffusion Sampling:: 44%|████▍ | 22/50 [00:03<00:04, 6.69it/s]\nDiffusion Sampling:: 46%|████▌ | 23/50 [00:03<00:04, 6.69it/s]\nDiffusion Sampling:: 48%|████▊ | 24/50 [00:03<00:03, 6.69it/s]\nDiffusion Sampling:: 50%|█████ | 25/50 [00:03<00:03, 6.69it/s]\nDiffusion Sampling:: 52%|█████▏ | 26/50 [00:03<00:03, 6.69it/s]\nDiffusion Sampling:: 54%|█████▍ | 27/50 [00:03<00:03, 6.69it/s]\nDiffusion Sampling:: 56%|█████▌ | 28/50 [00:04<00:03, 6.69it/s]\nDiffusion Sampling:: 58%|█████▊ | 29/50 [00:04<00:03, 6.69it/s]\nDiffusion Sampling:: 60%|██████ | 30/50 [00:04<00:02, 6.69it/s]\nDiffusion Sampling:: 62%|██████▏ | 31/50 [00:04<00:02, 6.68it/s]\nDiffusion Sampling:: 64%|██████▍ | 32/50 [00:04<00:02, 6.68it/s]\nDiffusion Sampling:: 66%|██████▌ | 33/50 [00:04<00:02, 6.68it/s]\nDiffusion Sampling:: 68%|██████▊ | 34/50 [00:04<00:02, 6.68it/s]\nDiffusion Sampling:: 70%|███████ | 35/50 [00:05<00:02, 6.67it/s]\nDiffusion Sampling:: 72%|███████▏ | 36/50 [00:05<00:02, 6.67it/s]\nDiffusion Sampling:: 74%|███████▍ | 37/50 [00:05<00:01, 6.66it/s]\nDiffusion Sampling:: 76%|███████▌ | 38/50 [00:05<00:01, 6.66it/s]\nDiffusion Sampling:: 78%|███████▊ | 39/50 [00:05<00:01, 6.66it/s]\nDiffusion Sampling:: 80%|████████ | 40/50 [00:05<00:01, 6.66it/s]\nDiffusion Sampling:: 82%|████████▏ | 41/50 [00:06<00:01, 6.67it/s]\nDiffusion Sampling:: 84%|████████▍ | 42/50 [00:06<00:01, 6.67it/s]\nDiffusion Sampling:: 86%|████████▌ | 43/50 [00:06<00:01, 6.67it/s]\nDiffusion Sampling:: 88%|████████▊ | 44/50 [00:06<00:00, 6.67it/s]\nDiffusion Sampling:: 90%|█████████ | 45/50 [00:06<00:00, 6.66it/s]\nDiffusion Sampling:: 92%|█████████▏| 46/50 [00:06<00:00, 6.67it/s]\nDiffusion Sampling:: 94%|█████████▍| 47/50 [00:06<00:00, 6.66it/s]\nDiffusion Sampling:: 96%|█████████▌| 48/50 [00:07<00:00, 6.67it/s]\nDiffusion Sampling:: 98%|█████████▊| 49/50 [00:07<00:00, 6.67it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:07<00:00, 6.66it/s]\nDiffusion Sampling:: 100%|██████████| 50/50 [00:07<00:00, 6.76it/s]\nMC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s]\nMC Level 0.0 Implicit Function:: 2%|▏ | 45/2122 [00:00<00:04, 440.93it/s]\nMC Level 0.0 Implicit Function:: 4%|▍ | 90/2122 [00:00<00:04, 439.69it/s]\nMC Level 0.0 Implicit Function:: 6%|▋ | 134/2122 [00:00<00:04, 438.44it/s]\nMC Level 0.0 Implicit Function:: 8%|▊ | 178/2122 [00:00<00:04, 437.26it/s]\nMC Level 0.0 Implicit Function:: 10%|█ | 222/2122 [00:00<00:04, 437.86it/s]\nMC Level 0.0 Implicit Function:: 13%|█▎ | 266/2122 [00:00<00:04, 437.45it/s]\nMC Level 0.0 Implicit Function:: 15%|█▍ | 310/2122 [00:00<00:04, 437.54it/s]\nMC Level 0.0 Implicit Function:: 17%|█▋ | 354/2122 [00:00<00:04, 436.90it/s]\nMC Level 0.0 Implicit Function:: 19%|█▉ | 398/2122 [00:00<00:03, 436.91it/s]\nMC Level 0.0 Implicit Function:: 21%|██ | 442/2122 [00:01<00:03, 436.49it/s]\nMC Level 0.0 Implicit Function:: 23%|██▎ | 486/2122 [00:01<00:03, 436.89it/s]\nMC Level 0.0 Implicit Function:: 25%|██▍ | 530/2122 [00:01<00:03, 437.13it/s]\nMC Level 0.0 Implicit Function:: 27%|██▋ | 574/2122 [00:01<00:03, 436.95it/s]\nMC Level 0.0 Implicit Function:: 29%|██▉ | 618/2122 [00:01<00:03, 437.15it/s]\nMC Level 0.0 Implicit Function:: 31%|███ | 662/2122 [00:01<00:03, 436.60it/s]\nMC Level 0.0 Implicit Function:: 33%|███▎ | 706/2122 [00:01<00:03, 437.20it/s]\nMC Level 0.0 Implicit Function:: 35%|███▌ | 750/2122 [00:01<00:03, 436.82it/s]\nMC Level 0.0 Implicit Function:: 37%|███▋ | 794/2122 [00:01<00:03, 435.09it/s]\nMC Level 0.0 Implicit Function:: 39%|███▉ | 838/2122 [00:01<00:02, 436.18it/s]\nMC Level 0.0 Implicit Function:: 42%|████▏ | 882/2122 [00:02<00:02, 436.30it/s]\nMC Level 0.0 Implicit Function:: 44%|████▎ | 926/2122 [00:02<00:02, 436.32it/s]\nMC Level 0.0 Implicit Function:: 46%|████▌ | 970/2122 [00:02<00:02, 436.19it/s]\nMC Level 0.0 Implicit Function:: 48%|████▊ | 1014/2122 [00:02<00:02, 436.61it/s]\nMC Level 0.0 Implicit Function:: 50%|████▉ | 1058/2122 [00:02<00:02, 436.83it/s]\nMC Level 0.0 Implicit Function:: 52%|█████▏ | 1102/2122 [00:02<00:02, 436.53it/s]\nMC Level 0.0 Implicit Function:: 54%|█████▍ | 1146/2122 [00:02<00:02, 436.76it/s]\nMC Level 0.0 Implicit Function:: 56%|█████▌ | 1190/2122 [00:02<00:02, 435.94it/s]\nMC Level 0.0 Implicit Function:: 58%|█████▊ | 1234/2122 [00:02<00:02, 435.97it/s]\nMC Level 0.0 Implicit Function:: 60%|██████ | 1278/2122 [00:02<00:01, 435.88it/s]\nMC Level 0.0 Implicit Function:: 62%|██████▏ | 1322/2122 [00:03<00:01, 436.67it/s]\nMC Level 0.0 Implicit Function:: 64%|██████▍ | 1366/2122 [00:03<00:01, 436.72it/s]\nMC Level 0.0 Implicit Function:: 66%|██████▋ | 1410/2122 [00:03<00:01, 436.55it/s]\nMC Level 0.0 Implicit Function:: 69%|██████▊ | 1454/2122 [00:03<00:01, 436.60it/s]\nMC Level 0.0 Implicit Function:: 71%|███████ | 1498/2122 [00:03<00:01, 435.20it/s]\nMC Level 0.0 Implicit Function:: 73%|███████▎ | 1542/2122 [00:03<00:01, 435.76it/s]\nMC Level 0.0 Implicit Function:: 75%|███████▍ | 1586/2122 [00:03<00:01, 435.43it/s]\nMC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:03<00:01, 435.60it/s]\nMC Level 0.0 Implicit Function:: 79%|███████▉ | 1674/2122 [00:03<00:01, 435.53it/s]\nMC Level 0.0 Implicit Function:: 81%|████████ | 1718/2122 [00:03<00:00, 435.16it/s]\nMC Level 0.0 Implicit Function:: 83%|████████▎ | 1762/2122 [00:04<00:00, 434.94it/s]\nMC Level 0.0 Implicit Function:: 85%|████████▌ | 1806/2122 [00:04<00:00, 434.73it/s]\nMC Level 0.0 Implicit Function:: 87%|████████▋ | 1850/2122 [00:04<00:00, 435.08it/s]\nMC Level 0.0 Implicit Function:: 89%|████████▉ | 1894/2122 [00:04<00:00, 434.83it/s]\nMC Level 0.0 Implicit Function:: 91%|█████████▏| 1938/2122 [00:04<00:00, 435.25it/s]\nMC Level 0.0 Implicit Function:: 93%|█████████▎| 1982/2122 [00:04<00:00, 435.44it/s]\nMC Level 0.0 Implicit Function:: 95%|█████████▌| 2026/2122 [00:04<00:00, 435.49it/s]\nMC Level 0.0 Implicit Function:: 98%|█████████▊| 2070/2122 [00:04<00:00, 435.33it/s]\nMC Level 0.0 Implicit Function:: 100%|█████████▉| 2114/2122 [00:04<00:00, 434.96it/s]\nMC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:04<00:00, 436.16it/s]", "metrics": { "predict_time": 74.448458806, "total_time": 257.716497 }, "output": { "mesh": "https://replicate.delivery/xezq/AzxYNnfGM02JYq2dbU2ftrQZQt7VItWiUkXfgY73k9nPxVooA/mesh.glb" }, "started_at": "2025-03-01T12:21:49.500038Z", "status": "succeeded", "urls": { "get": "https://api.replicate.com/v1/predictions/ysdprkgdb1rme0cna6jtz7sjwc", "cancel": "https://api.replicate.com/v1/predictions/ysdprkgdb1rme0cna6jtz7sjwc/cancel" }, "version": "63f8b81301dc0ec8a4c2f1a9c9f204e76f2707ebfe16a6272736c1c45ccaf17b" }
Generated inUsing border_ratio from init: 0.15 Diffusion Sampling:: 0%| | 0/50 [00:00<?, ?it/s] Diffusion Sampling:: 2%|▏ | 1/50 [00:00<00:08, 6.04it/s] Diffusion Sampling:: 6%|▌ | 3/50 [00:00<00:05, 8.61it/s] Diffusion Sampling:: 8%|▊ | 4/50 [00:00<00:05, 7.86it/s] Diffusion Sampling:: 10%|█ | 5/50 [00:00<00:06, 7.45it/s] Diffusion Sampling:: 12%|█▏ | 6/50 [00:00<00:06, 7.19it/s] Diffusion Sampling:: 14%|█▍ | 7/50 [00:00<00:06, 7.04it/s] Diffusion Sampling:: 16%|█▌ | 8/50 [00:01<00:06, 6.94it/s] Diffusion Sampling:: 18%|█▊ | 9/50 [00:01<00:05, 6.87it/s] Diffusion Sampling:: 20%|██ | 10/50 [00:01<00:05, 6.82it/s] Diffusion Sampling:: 22%|██▏ | 11/50 [00:01<00:05, 6.79it/s] Diffusion Sampling:: 24%|██▍ | 12/50 [00:01<00:05, 6.76it/s] Diffusion Sampling:: 26%|██▌ | 13/50 [00:01<00:05, 6.74it/s] Diffusion Sampling:: 28%|██▊ | 14/50 [00:02<00:05, 6.72it/s] Diffusion Sampling:: 30%|███ | 15/50 [00:02<00:05, 6.71it/s] Diffusion Sampling:: 32%|███▏ | 16/50 [00:02<00:05, 6.71it/s] Diffusion Sampling:: 34%|███▍ | 17/50 [00:02<00:04, 6.70it/s] Diffusion Sampling:: 36%|███▌ | 18/50 [00:02<00:04, 6.70it/s] Diffusion Sampling:: 38%|███▊ | 19/50 [00:02<00:04, 6.70it/s] Diffusion Sampling:: 40%|████ | 20/50 [00:02<00:04, 6.70it/s] Diffusion Sampling:: 42%|████▏ | 21/50 [00:03<00:04, 6.69it/s] Diffusion Sampling:: 44%|████▍ | 22/50 [00:03<00:04, 6.69it/s] Diffusion Sampling:: 46%|████▌ | 23/50 [00:03<00:04, 6.69it/s] Diffusion Sampling:: 48%|████▊ | 24/50 [00:03<00:03, 6.69it/s] Diffusion Sampling:: 50%|█████ | 25/50 [00:03<00:03, 6.69it/s] Diffusion Sampling:: 52%|█████▏ | 26/50 [00:03<00:03, 6.69it/s] Diffusion Sampling:: 54%|█████▍ | 27/50 [00:03<00:03, 6.69it/s] Diffusion Sampling:: 56%|█████▌ | 28/50 [00:04<00:03, 6.69it/s] Diffusion Sampling:: 58%|█████▊ | 29/50 [00:04<00:03, 6.69it/s] Diffusion Sampling:: 60%|██████ | 30/50 [00:04<00:02, 6.69it/s] Diffusion Sampling:: 62%|██████▏ | 31/50 [00:04<00:02, 6.68it/s] Diffusion Sampling:: 64%|██████▍ | 32/50 [00:04<00:02, 6.68it/s] Diffusion Sampling:: 66%|██████▌ | 33/50 [00:04<00:02, 6.68it/s] Diffusion Sampling:: 68%|██████▊ | 34/50 [00:04<00:02, 6.68it/s] Diffusion Sampling:: 70%|███████ | 35/50 [00:05<00:02, 6.67it/s] Diffusion Sampling:: 72%|███████▏ | 36/50 [00:05<00:02, 6.67it/s] Diffusion Sampling:: 74%|███████▍ | 37/50 [00:05<00:01, 6.66it/s] Diffusion Sampling:: 76%|███████▌ | 38/50 [00:05<00:01, 6.66it/s] Diffusion Sampling:: 78%|███████▊ | 39/50 [00:05<00:01, 6.66it/s] Diffusion Sampling:: 80%|████████ | 40/50 [00:05<00:01, 6.66it/s] Diffusion Sampling:: 82%|████████▏ | 41/50 [00:06<00:01, 6.67it/s] Diffusion Sampling:: 84%|████████▍ | 42/50 [00:06<00:01, 6.67it/s] Diffusion Sampling:: 86%|████████▌ | 43/50 [00:06<00:01, 6.67it/s] Diffusion Sampling:: 88%|████████▊ | 44/50 [00:06<00:00, 6.67it/s] Diffusion Sampling:: 90%|█████████ | 45/50 [00:06<00:00, 6.66it/s] Diffusion Sampling:: 92%|█████████▏| 46/50 [00:06<00:00, 6.67it/s] Diffusion Sampling:: 94%|█████████▍| 47/50 [00:06<00:00, 6.66it/s] Diffusion Sampling:: 96%|█████████▌| 48/50 [00:07<00:00, 6.67it/s] Diffusion Sampling:: 98%|█████████▊| 49/50 [00:07<00:00, 6.67it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:07<00:00, 6.66it/s] Diffusion Sampling:: 100%|██████████| 50/50 [00:07<00:00, 6.76it/s] MC Level 0.0 Implicit Function:: 0%| | 0/2122 [00:00<?, ?it/s] MC Level 0.0 Implicit Function:: 2%|▏ | 45/2122 [00:00<00:04, 440.93it/s] MC Level 0.0 Implicit Function:: 4%|▍ | 90/2122 [00:00<00:04, 439.69it/s] MC Level 0.0 Implicit Function:: 6%|▋ | 134/2122 [00:00<00:04, 438.44it/s] MC Level 0.0 Implicit Function:: 8%|▊ | 178/2122 [00:00<00:04, 437.26it/s] MC Level 0.0 Implicit Function:: 10%|█ | 222/2122 [00:00<00:04, 437.86it/s] MC Level 0.0 Implicit Function:: 13%|█▎ | 266/2122 [00:00<00:04, 437.45it/s] MC Level 0.0 Implicit Function:: 15%|█▍ | 310/2122 [00:00<00:04, 437.54it/s] MC Level 0.0 Implicit Function:: 17%|█▋ | 354/2122 [00:00<00:04, 436.90it/s] MC Level 0.0 Implicit Function:: 19%|█▉ | 398/2122 [00:00<00:03, 436.91it/s] MC Level 0.0 Implicit Function:: 21%|██ | 442/2122 [00:01<00:03, 436.49it/s] MC Level 0.0 Implicit Function:: 23%|██▎ | 486/2122 [00:01<00:03, 436.89it/s] MC Level 0.0 Implicit Function:: 25%|██▍ | 530/2122 [00:01<00:03, 437.13it/s] MC Level 0.0 Implicit Function:: 27%|██▋ | 574/2122 [00:01<00:03, 436.95it/s] MC Level 0.0 Implicit Function:: 29%|██▉ | 618/2122 [00:01<00:03, 437.15it/s] MC Level 0.0 Implicit Function:: 31%|███ | 662/2122 [00:01<00:03, 436.60it/s] MC Level 0.0 Implicit Function:: 33%|███▎ | 706/2122 [00:01<00:03, 437.20it/s] MC Level 0.0 Implicit Function:: 35%|███▌ | 750/2122 [00:01<00:03, 436.82it/s] MC Level 0.0 Implicit Function:: 37%|███▋ | 794/2122 [00:01<00:03, 435.09it/s] MC Level 0.0 Implicit Function:: 39%|███▉ | 838/2122 [00:01<00:02, 436.18it/s] MC Level 0.0 Implicit Function:: 42%|████▏ | 882/2122 [00:02<00:02, 436.30it/s] MC Level 0.0 Implicit Function:: 44%|████▎ | 926/2122 [00:02<00:02, 436.32it/s] MC Level 0.0 Implicit Function:: 46%|████▌ | 970/2122 [00:02<00:02, 436.19it/s] MC Level 0.0 Implicit Function:: 48%|████▊ | 1014/2122 [00:02<00:02, 436.61it/s] MC Level 0.0 Implicit Function:: 50%|████▉ | 1058/2122 [00:02<00:02, 436.83it/s] MC Level 0.0 Implicit Function:: 52%|█████▏ | 1102/2122 [00:02<00:02, 436.53it/s] MC Level 0.0 Implicit Function:: 54%|█████▍ | 1146/2122 [00:02<00:02, 436.76it/s] MC Level 0.0 Implicit Function:: 56%|█████▌ | 1190/2122 [00:02<00:02, 435.94it/s] MC Level 0.0 Implicit Function:: 58%|█████▊ | 1234/2122 [00:02<00:02, 435.97it/s] MC Level 0.0 Implicit Function:: 60%|██████ | 1278/2122 [00:02<00:01, 435.88it/s] MC Level 0.0 Implicit Function:: 62%|██████▏ | 1322/2122 [00:03<00:01, 436.67it/s] MC Level 0.0 Implicit Function:: 64%|██████▍ | 1366/2122 [00:03<00:01, 436.72it/s] MC Level 0.0 Implicit Function:: 66%|██████▋ | 1410/2122 [00:03<00:01, 436.55it/s] MC Level 0.0 Implicit Function:: 69%|██████▊ | 1454/2122 [00:03<00:01, 436.60it/s] MC Level 0.0 Implicit Function:: 71%|███████ | 1498/2122 [00:03<00:01, 435.20it/s] MC Level 0.0 Implicit Function:: 73%|███████▎ | 1542/2122 [00:03<00:01, 435.76it/s] MC Level 0.0 Implicit Function:: 75%|███████▍ | 1586/2122 [00:03<00:01, 435.43it/s] MC Level 0.0 Implicit Function:: 77%|███████▋ | 1630/2122 [00:03<00:01, 435.60it/s] MC Level 0.0 Implicit Function:: 79%|███████▉ | 1674/2122 [00:03<00:01, 435.53it/s] MC Level 0.0 Implicit Function:: 81%|████████ | 1718/2122 [00:03<00:00, 435.16it/s] MC Level 0.0 Implicit Function:: 83%|████████▎ | 1762/2122 [00:04<00:00, 434.94it/s] MC Level 0.0 Implicit Function:: 85%|████████▌ | 1806/2122 [00:04<00:00, 434.73it/s] MC Level 0.0 Implicit Function:: 87%|████████▋ | 1850/2122 [00:04<00:00, 435.08it/s] MC Level 0.0 Implicit Function:: 89%|████████▉ | 1894/2122 [00:04<00:00, 434.83it/s] MC Level 0.0 Implicit Function:: 91%|█████████▏| 1938/2122 [00:04<00:00, 435.25it/s] MC Level 0.0 Implicit Function:: 93%|█████████▎| 1982/2122 [00:04<00:00, 435.44it/s] MC Level 0.0 Implicit Function:: 95%|█████████▌| 2026/2122 [00:04<00:00, 435.49it/s] MC Level 0.0 Implicit Function:: 98%|█████████▊| 2070/2122 [00:04<00:00, 435.33it/s] MC Level 0.0 Implicit Function:: 100%|█████████▉| 2114/2122 [00:04<00:00, 434.96it/s] MC Level 0.0 Implicit Function:: 100%|██████████| 2122/2122 [00:04<00:00, 436.16it/s]
Want to make some of these yourself?
Run this model