tuannha/instant-character ❓🔢📝🖼️ → 🖼️
About
Tencent Instant Character
Example Output
Prompt:
"a character in the library"
Output
Performance Metrics
19.85s
Prediction Time
19.85s
Total Time
All Input Parameters
{
"lora": "ghibli_style",
"seed": -1,
"width": 768,
"height": 1344,
"prompt": "a character in the library",
"subject_image": "https://replicate.delivery/pbxt/Mr9015ajTj5WrUEuW6YyWbxxRifCNCo0SbiA0L0F4vqjQmXS/face.png",
"guidance_scale": 3.5,
"num_inference_steps": 28
}
Input Parameters
- lora
- Lora to use
- seed
- Seed for the random number generator, -1 for random
- width
- Width of the output image
- height
- Height of the output image
- prompt (required)
- Prompt for the image generation
- subject_image (required)
- Grayscale input image
- guidance_scale
- Guidance scale for the diffusion process
- num_inference_steps
- Number of diffusion steps
Output Schema
Output
Example Execution Logs
loading lora in transformer ...: 0%| | 0/988 [00:00<?, ?it/s] loading lora in transformer ...: 53%|█████▎ | 528/988 [00:00<00:00, 5258.64it/s] loading lora in transformer ...: 100%|██████████| 988/988 [00:00<00:00, 3879.36it/s] loading lora in text_encoder ...: 0it [00:00, ?it/s] loading lora in text_encoder ...: 0it [00:00, ?it/s] 0%| | 0/28 [00:00<?, ?it/s] 4%|▎ | 1/28 [00:00<00:17, 1.58it/s] 7%|▋ | 2/28 [00:01<00:13, 1.87it/s] 11%|█ | 3/28 [00:01<00:14, 1.73it/s] 14%|█▍ | 4/28 [00:02<00:14, 1.67it/s] 18%|█▊ | 5/28 [00:02<00:14, 1.63it/s] 21%|██▏ | 6/28 [00:03<00:13, 1.61it/s] 25%|██▌ | 7/28 [00:04<00:13, 1.60it/s] 29%|██▊ | 8/28 [00:04<00:12, 1.59it/s] 32%|███▏ | 9/28 [00:05<00:11, 1.59it/s] 36%|███▌ | 10/28 [00:06<00:11, 1.58it/s] 39%|███▉ | 11/28 [00:06<00:10, 1.58it/s] 43%|████▎ | 12/28 [00:07<00:10, 1.58it/s] 46%|████▋ | 13/28 [00:08<00:09, 1.58it/s] 50%|█████ | 14/28 [00:08<00:08, 1.58it/s] 54%|█████▎ | 15/28 [00:09<00:08, 1.57it/s] 57%|█████▋ | 16/28 [00:09<00:07, 1.57it/s] 61%|██████ | 17/28 [00:10<00:06, 1.57it/s] 64%|██████▍ | 18/28 [00:11<00:06, 1.57it/s] 68%|██████▊ | 19/28 [00:11<00:05, 1.57it/s] 71%|███████▏ | 20/28 [00:12<00:05, 1.57it/s] 75%|███████▌ | 21/28 [00:13<00:04, 1.57it/s] 79%|███████▊ | 22/28 [00:13<00:03, 1.57it/s] 82%|████████▏ | 23/28 [00:14<00:03, 1.57it/s] 86%|████████▌ | 24/28 [00:15<00:02, 1.56it/s] 89%|████████▉ | 25/28 [00:15<00:01, 1.56it/s] 93%|█████████▎| 26/28 [00:16<00:01, 1.56it/s] 96%|█████████▋| 27/28 [00:17<00:00, 1.56it/s] 100%|██████████| 28/28 [00:17<00:00, 1.56it/s] 100%|██████████| 28/28 [00:17<00:00, 1.59it/s] loading lora in transformer ...: 0%| | 0/988 [00:00<?, ?it/s] loading lora in transformer ...: 65%|██████▍ | 640/988 [00:00<00:00, 6389.53it/s] loading lora in transformer ...: 100%|██████████| 988/988 [00:00<00:00, 4527.79it/s] loading lora in text_encoder ...: 0it [00:00, ?it/s] loading lora in text_encoder ...: 0it [00:00, ?it/s]
Version Details
- Version ID
df5eed34fa9c812acf62d3ca79874daf9b5e78c2bee11f4ada182a55dd5c1712- Version Created
- April 18, 2025