lucataco/realvisxl-v2-img2img 🔢🖼️📝❓ → 🖼️

▶️ 9.0K runs 📅 Nov 2023 ⚙️ Cog 0.8.5 🔗 GitHub ⚖️ License
image-editing image-to-image

About

Implementation of SDXL RealVisXL_V2.0 img2img

Example Output

Prompt:

"a latina woman with a pearl earring"

Output

Example output

Performance Metrics

8.02s Prediction Time
9.19s Total Time
All Input Parameters 
{
  "seed": 20120,
  "image": "https://replicate.delivery/pbxt/JpkGLpIVdMO2c80Bf4ENQFQyybxCzousG19ZNGMpJifA2wQG/demo.jpg",
  "prompt": "a latina woman with a pearl earring",
  "strength": 0.8,
  "scheduler": "DPMSolverMultistep",
  "guidance_scale": 8,
  "negative_prompt": "(worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth",
  "num_inference_steps": 40
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
image (required) Type: string
Input image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn
Input prompt
strength Type: numberDefault: 0.9Range: 0 - 1
strength/weight
scheduler Default: DPMSolverMultistep
scheduler
guidance_scale Type: numberDefault: 8Range: 1 - 10
Scale for classifier-free guidance
negative_prompt Type: stringDefault: (worst quality, low quality, illustration, 3d, 2d, painting, cartoons, sketch), open mouth
Input Negative Prompt
num_inference_steps Type: integerDefault: 40Range: 1 - 100
Number of denoising steps
Output Schema

Output

Type: string • Format: uri

Example Execution Logs 
Using seed: 20120
  0%|          | 0/32 [00:00<?, ?it/s]
  3%|▎         | 1/32 [00:00<00:04,  6.26it/s]
  6%|▋         | 2/32 [00:00<00:04,  6.49it/s]
  9%|▉         | 3/32 [00:00<00:04,  6.56it/s]
 12%|█▎        | 4/32 [00:00<00:04,  6.59it/s]
 16%|█▌        | 5/32 [00:00<00:04,  6.61it/s]
 19%|█▉        | 6/32 [00:00<00:03,  6.61it/s]
 22%|██▏       | 7/32 [00:01<00:03,  6.62it/s]
 25%|██▌       | 8/32 [00:01<00:03,  6.63it/s]
 28%|██▊       | 9/32 [00:01<00:03,  6.63it/s]
 31%|███▏      | 10/32 [00:01<00:03,  6.63it/s]
 34%|███▍      | 11/32 [00:01<00:03,  6.63it/s]
 38%|███▊      | 12/32 [00:01<00:03,  6.63it/s]
 41%|████      | 13/32 [00:01<00:02,  6.63it/s]
 44%|████▍     | 14/32 [00:02<00:02,  6.63it/s]
 47%|████▋     | 15/32 [00:02<00:02,  6.63it/s]
 50%|█████     | 16/32 [00:02<00:02,  6.63it/s]
 53%|█████▎    | 17/32 [00:02<00:02,  6.63it/s]
 56%|█████▋    | 18/32 [00:02<00:02,  6.64it/s]
 59%|█████▉    | 19/32 [00:02<00:01,  6.65it/s]
 62%|██████▎   | 20/32 [00:03<00:01,  6.66it/s]
 66%|██████▌   | 21/32 [00:03<00:01,  6.65it/s]
 69%|██████▉   | 22/32 [00:03<00:01,  6.66it/s]
 72%|███████▏  | 23/32 [00:03<00:01,  6.65it/s]
 75%|███████▌  | 24/32 [00:03<00:01,  6.66it/s]
 78%|███████▊  | 25/32 [00:03<00:01,  6.65it/s]
 81%|████████▏ | 26/32 [00:03<00:00,  6.66it/s]
 84%|████████▍ | 27/32 [00:04<00:00,  6.66it/s]
 88%|████████▊ | 28/32 [00:04<00:00,  6.66it/s]
 91%|█████████ | 29/32 [00:04<00:00,  6.66it/s]
 94%|█████████▍| 30/32 [00:04<00:00,  6.66it/s]
 97%|█████████▋| 31/32 [00:04<00:00,  6.66it/s]
100%|██████████| 32/32 [00:04<00:00,  6.66it/s]
100%|██████████| 32/32 [00:04<00:00,  6.64it/s]
Version Details
Version ID
47e54eff7b805b79428ffcb4a972d29bf68199e53fc626455d10b1f0cc57fbbc
Version Created
November 7, 2023
Run on Replicate →