catacolabs/sdxl-ad-inpaint 🔢🖼️📝❓✓ → 🖼️
About
Product advertising image generator using SDXL
Example Output
Prompt:
"a modern sofa in a contemporary living room, stylish decor"
Output
Performance Metrics
17.76s
Prediction Time
17.76s
Total Time
All Input Parameters
{
"seed": 24603,
"image": "https://replicate.delivery/pbxt/JX7yjB7jAgeCC1tUmWUUZlWg3IDWW9vLqIjwqWOlj9p6zyyn/sofa.png",
"prompt": "a modern sofa in a contemporary living room, stylish decor",
"img_size": "1024, 1024",
"apply_img": false,
"scheduler": "K_EULER",
"product_fill": "80",
"guidance_scale": 7.5,
"condition_scale": 0.8,
"negative_prompt": "",
"num_refine_steps": 20,
"num_inference_steps": 40
}
Input Parameters
- seed
- Empty or 0 for a random image
- image (required)
- Remove background from this image
- prompt (required)
- Describe the new setting for your product
- img_size
- Possible SDXL image sizes
- apply_img
- Applies the original product image to the final result
- scheduler
- scheduler
- product_fill
- What percentage of the image width to fill with product
- guidance_scale
- Guidance Scale
- condition_scale
- controlnet conditioning scale for generalization
- negative_prompt
- Describe what you do not want in your setting
- num_refine_steps
- Number of steps to refine
- num_inference_steps
- Inference Steps
Output Schema
Output
Example Execution Logs
Using seed: 24603 Product img W:666, H:375 Scale factor: 0.8 Final img W: 1024, H:1024 0%| | 0/40 [00:00<?, ?it/s] 2%|▎ | 1/40 [00:00<00:11, 3.38it/s] 5%|▌ | 2/40 [00:00<00:11, 3.38it/s] 8%|▊ | 3/40 [00:00<00:10, 3.38it/s] 10%|█ | 4/40 [00:01<00:10, 3.37it/s] 12%|█▎ | 5/40 [00:01<00:10, 3.37it/s] 15%|█▌ | 6/40 [00:01<00:10, 3.37it/s] 18%|█▊ | 7/40 [00:02<00:09, 3.37it/s] 20%|██ | 8/40 [00:02<00:09, 3.37it/s] 22%|██▎ | 9/40 [00:02<00:09, 3.37it/s] 25%|██▌ | 10/40 [00:02<00:08, 3.36it/s] 28%|██▊ | 11/40 [00:03<00:08, 3.36it/s] 30%|███ | 12/40 [00:03<00:08, 3.36it/s] 32%|███▎ | 13/40 [00:03<00:08, 3.36it/s] 35%|███▌ | 14/40 [00:04<00:07, 3.36it/s] 38%|███▊ | 15/40 [00:04<00:07, 3.32it/s] 40%|████ | 16/40 [00:04<00:07, 3.32it/s] 42%|████▎ | 17/40 [00:05<00:06, 3.33it/s] 45%|████▌ | 18/40 [00:05<00:06, 3.33it/s] 48%|████▊ | 19/40 [00:05<00:06, 3.34it/s] 50%|█████ | 20/40 [00:05<00:05, 3.34it/s] 52%|█████▎ | 21/40 [00:06<00:05, 3.34it/s] 55%|█████▌ | 22/40 [00:06<00:05, 3.35it/s] 57%|█████▊ | 23/40 [00:06<00:05, 3.34it/s] 60%|██████ | 24/40 [00:07<00:04, 3.34it/s] 62%|██████▎ | 25/40 [00:07<00:04, 3.34it/s] 65%|██████▌ | 26/40 [00:07<00:04, 3.34it/s] 68%|██████▊ | 27/40 [00:08<00:03, 3.34it/s] 70%|███████ | 28/40 [00:08<00:03, 3.34it/s] 72%|███████▎ | 29/40 [00:08<00:03, 3.34it/s] 75%|███████▌ | 30/40 [00:08<00:02, 3.34it/s] 78%|███████▊ | 31/40 [00:09<00:02, 3.35it/s] 80%|████████ | 32/40 [00:09<00:02, 3.34it/s] 82%|████████▎ | 33/40 [00:09<00:02, 3.34it/s] 85%|████████▌ | 34/40 [00:10<00:01, 3.34it/s] 88%|████████▊ | 35/40 [00:10<00:01, 3.34it/s] 90%|█████████ | 36/40 [00:10<00:01, 3.34it/s] 92%|█████████▎| 37/40 [00:11<00:00, 3.34it/s] 95%|█████████▌| 38/40 [00:11<00:00, 3.34it/s] 98%|█████████▊| 39/40 [00:11<00:00, 3.34it/s] 100%|██████████| 40/40 [00:11<00:00, 3.34it/s] 100%|██████████| 40/40 [00:11<00:00, 3.35it/s] 0%| | 0/6 [00:00<?, ?it/s] 17%|█▋ | 1/6 [00:00<00:01, 4.31it/s] 33%|███▎ | 2/6 [00:00<00:00, 4.30it/s] 50%|█████ | 3/6 [00:00<00:00, 4.30it/s] 67%|██████▋ | 4/6 [00:00<00:00, 4.28it/s] 83%|████████▎ | 5/6 [00:01<00:00, 4.29it/s] 100%|██████████| 6/6 [00:01<00:00, 4.28it/s] 100%|██████████| 6/6 [00:01<00:00, 4.29it/s]
Version Details
- Version ID
9c0cb4c579c54432431d96c70924afcca18983de872e8a221777fb1416253359- Version Created
- September 15, 2023