remodela-ai/style-transfer-i 🔢🖼️📝 → 🖼️
About

Example Output
Prompt:
"masterpiece, best quality, highres"
Output

Performance Metrics
18.87s
Prediction Time
148.20s
Total Time
All Input Parameters
{ "seed": 1337, "image": "https://replicate.delivery/pbxt/KsYW45LNOu2KkQvfeYkJ48hyZAg4Z8pswSq1iliVqHIwXzQj/image_original.jpg", "prompt": "masterpiece, best quality, highres", "image_style": "https://replicate.delivery/pbxt/KsYW3qjLozd16SnaPLvVtBTFXq31Mm7Elf3PnL9X3dDICZFL/madera.jpg", "guidance_scale": 8, "style_strength": 0.4, "negative_prompt": "worst quality, low quality, normal quality", "structure_strength": 0.6, "num_inference_steps": 30 }
Input Parameters
- seed
- Leave blank to randomize the seed
- image (required)
- input image
- prompt
- Prompt
- image_style (required)
- image for style
- guidance_scale
- Scale for classifier-free guidance
- style_strength
- How much the style should get applied
- negative_prompt
- Negative Prompt
- structure_strength
- How much the structure should keep the same
- num_inference_steps
- Number of denoising steps
Output Schema
Output
Example Execution Logs
0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:09, 2.91it/s] 7%|▋ | 2/30 [00:00<00:06, 4.64it/s] 10%|█ | 3/30 [00:00<00:06, 4.45it/s] 13%|█▎ | 4/30 [00:00<00:05, 4.36it/s] 17%|█▋ | 5/30 [00:01<00:05, 4.28it/s] 20%|██ | 6/30 [00:01<00:05, 4.25it/s] 23%|██▎ | 7/30 [00:01<00:05, 4.24it/s] 27%|██▋ | 8/30 [00:01<00:05, 4.24it/s] 30%|███ | 9/30 [00:02<00:04, 4.21it/s] 33%|███▎ | 10/30 [00:02<00:04, 4.20it/s] 37%|███▋ | 11/30 [00:02<00:04, 4.21it/s] 40%|████ | 12/30 [00:02<00:04, 4.21it/s] 43%|████▎ | 13/30 [00:03<00:04, 4.20it/s] 47%|████▋ | 14/30 [00:03<00:03, 4.19it/s] 50%|█████ | 15/30 [00:03<00:03, 4.19it/s] 53%|█████▎ | 16/30 [00:03<00:03, 4.19it/s] 57%|█████▋ | 17/30 [00:04<00:03, 4.18it/s] 60%|██████ | 18/30 [00:04<00:02, 4.18it/s] 63%|██████▎ | 19/30 [00:04<00:02, 4.18it/s] 67%|██████▋ | 20/30 [00:04<00:02, 4.18it/s] 70%|███████ | 21/30 [00:05<00:02, 4.18it/s] 73%|███████▎ | 22/30 [00:05<00:01, 4.18it/s] 77%|███████▋ | 23/30 [00:05<00:01, 4.17it/s] 80%|████████ | 24/30 [00:05<00:01, 4.17it/s] 83%|████████▎ | 25/30 [00:05<00:01, 4.17it/s] 87%|████████▋ | 26/30 [00:06<00:00, 4.17it/s] 90%|█████████ | 27/30 [00:06<00:00, 4.17it/s] 93%|█████████▎| 28/30 [00:06<00:00, 4.17it/s] 97%|█████████▋| 29/30 [00:06<00:00, 4.17it/s] 100%|██████████| 30/30 [00:07<00:00, 4.17it/s] 100%|██████████| 30/30 [00:07<00:00, 4.19it/s] 0%| | 0/30 [00:00<?, ?it/s] 3%|▎ | 1/30 [00:00<00:03, 7.96it/s] 7%|▋ | 2/30 [00:00<00:05, 5.21it/s] 10%|█ | 3/30 [00:00<00:05, 4.70it/s] 13%|█▎ | 4/30 [00:00<00:05, 4.48it/s] 17%|█▋ | 5/30 [00:01<00:05, 4.36it/s] 20%|██ | 6/30 [00:01<00:05, 4.31it/s] 23%|██▎ | 7/30 [00:01<00:05, 4.28it/s] 27%|██▋ | 8/30 [00:01<00:05, 4.26it/s] 30%|███ | 9/30 [00:02<00:04, 4.25it/s] 33%|███▎ | 10/30 [00:02<00:04, 4.24it/s] 37%|███▋ | 11/30 [00:02<00:04, 4.23it/s] 40%|████ | 12/30 [00:02<00:04, 4.23it/s] 43%|████▎ | 13/30 [00:02<00:04, 4.22it/s] 47%|████▋ | 14/30 [00:03<00:03, 4.22it/s] 50%|█████ | 15/30 [00:03<00:03, 4.21it/s] 53%|█████▎ | 16/30 [00:03<00:03, 4.21it/s] 57%|█████▋ | 17/30 [00:03<00:03, 4.21it/s] 60%|██████ | 18/30 [00:04<00:02, 4.22it/s] 63%|██████▎ | 19/30 [00:04<00:02, 4.22it/s] 67%|██████▋ | 20/30 [00:04<00:02, 4.22it/s] 70%|███████ | 21/30 [00:04<00:02, 4.21it/s] 73%|███████▎ | 22/30 [00:05<00:01, 4.21it/s] 77%|███████▋ | 23/30 [00:05<00:01, 4.21it/s] 80%|████████ | 24/30 [00:05<00:01, 4.21it/s] 83%|████████▎ | 25/30 [00:05<00:01, 4.21it/s] 87%|████████▋ | 26/30 [00:06<00:00, 4.21it/s] 90%|█████████ | 27/30 [00:06<00:00, 4.22it/s] 93%|█████████▎| 28/30 [00:06<00:00, 4.21it/s] 97%|█████████▋| 29/30 [00:06<00:00, 4.21it/s] 100%|██████████| 30/30 [00:07<00:00, 4.21it/s] 100%|██████████| 30/30 [00:07<00:00, 4.28it/s]
Version Details
- Version ID
a1f3c0ec5505720e3147d66733749909976bb86ebf5a668b634b60f9d71d4359
- Version Created
- May 7, 2024