mbentley124/openjourney-img2img 🖼️📝🔢 → 🖼️
About
This is the OpenJourney img2img model
Example Output
Prompt:
"greg rutkowski, cartoon style, trending on artstation"
Output
Performance Metrics
4.31s
Prediction Time
4.66s
Total Time
All Input Parameters
{
"image": "https://replicate.delivery/pbxt/IG543JPETYcXioOfapbLf9BNRLX41jqAcZigtLIh7E4kVTva/person.jpeg",
"prompt": "greg rutkowski, cartoon style, trending on artstation",
"strength": "0.5",
"guidance_scale": 12.5,
"negative_prompt": "deformed, blotches, blurry, saturated, maximalist, cripple, ugly, additional arms, additional legs, additional head, two heads, multiple people, group of people, blur",
"num_inference_steps": "50",
"num_images_per_prompt": "1"
}
Input Parameters
- image (required)
- Image that will be used as the starting point for the process.
- prompt (required)
- The prompt to guide the image generation.
- strength
- Conceptually, indicates how much to transform the reference image. image will be used as a starting point, adding more noise to it the larger the strength. A value of 1 essentially ignores image.
- guidance_scale
- Higher guidance scale encourages to generate images that are closely linked to the text prompt, usually at the expense of lower image quality.
- negative_prompt
- The prompt not to guide the image generation.
- num_inference_steps
- The number of denoising steps. More denoising steps usually lead to a higher quality image at the expense of slower inference.
- num_images_per_prompt
- The number of images to generate
Output Schema
Output
Example Execution Logs
0%| | 0/25 [00:00<?, ?it/s] 4%|▍ | 1/25 [00:00<00:07, 3.34it/s] 8%|▊ | 2/25 [00:00<00:04, 5.39it/s] 12%|█▏ | 3/25 [00:00<00:03, 6.71it/s] 16%|█▌ | 4/25 [00:00<00:02, 7.59it/s] 20%|██ | 5/25 [00:00<00:02, 8.18it/s] 24%|██▍ | 6/25 [00:00<00:02, 8.58it/s] 28%|██▊ | 7/25 [00:00<00:02, 8.85it/s] 32%|███▏ | 8/25 [00:01<00:01, 9.04it/s] 36%|███▌ | 9/25 [00:01<00:01, 9.17it/s] 40%|████ | 10/25 [00:01<00:01, 9.27it/s] 44%|████▍ | 11/25 [00:01<00:01, 9.33it/s] 48%|████▊ | 12/25 [00:01<00:01, 9.37it/s] 52%|█████▏ | 13/25 [00:01<00:01, 9.40it/s] 56%|█████▌ | 14/25 [00:01<00:01, 9.41it/s] 60%|██████ | 15/25 [00:01<00:01, 9.43it/s] 64%|██████▍ | 16/25 [00:01<00:00, 9.43it/s] 68%|██████▊ | 17/25 [00:01<00:00, 9.43it/s] 72%|███████▏ | 18/25 [00:02<00:00, 9.44it/s] 76%|███████▌ | 19/25 [00:02<00:00, 9.45it/s] 80%|████████ | 20/25 [00:02<00:00, 9.46it/s] 84%|████████▍ | 21/25 [00:02<00:00, 9.46it/s] 88%|████████▊ | 22/25 [00:02<00:00, 9.47it/s] 92%|█████████▏| 23/25 [00:02<00:00, 9.47it/s] 96%|█████████▌| 24/25 [00:02<00:00, 9.47it/s] 100%|██████████| 25/25 [00:02<00:00, 9.48it/s] 100%|██████████| 25/25 [00:02<00:00, 8.82it/s]
Version Details
- Version ID
c49a9422a0d4303e6b8a8d2cf35d4d1b1fd49d32b946f6d5c74b78886b7e5dc3- Version Created
- February 1, 2023