pmwoz/kolorowanki 🖼️🔢📝❓✓ → 🖼️

▶️ 1.4K runs 📅 Nov 2023 ⚙️ Cog 0.8.6
coloring-book image-inpainting image-to-image text-to-image

About

Example Output

Prompt:

"a coloring page of simple flowers in the style of TOK, illustration, cartoon, outlines, kid’s coloring page, black and white, white png background, flat 2d"

Output

Example output

Performance Metrics

12.42s Prediction Time
12.36s Total Time
All Input Parameters 
{
  "width": 1152,
  "height": 768,
  "prompt": "a coloring page of simple flowers in the style of TOK, illustration, cartoon, outlines, kid’s coloring page, black and white, white png background, flat 2d",
  "refine": "no_refiner",
  "scheduler": "K_EULER",
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "high_noise_frac": 0.8,
  "negative_prompt": "ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, extra limbs, disfigured, deformed, body out of frame, bad anatomy, signature, cut off, low contrast, underexposed, overexposed, bad art, beginner, amateur, distorted face, blurry, draft, grainy, shading, gradient, colors, saturation, colored, shadow, 3d",
  "prompt_strength": 0.8,
  "num_inference_steps": 50
}
Input Parameters
mask Type: string
Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
seed Type: integer
Random seed. Leave blank to randomize the seed
image Type: string
Input image for img2img or inpaint mode
width Type: integerDefault: 1024
Width of output image
height Type: integerDefault: 1024
Height of output image
prompt Type: stringDefault: An astronaut riding a rainbow unicorn
Input prompt
refine Default: no_refiner
Which refine style to use
scheduler Default: K_EULER
scheduler
lora_scale Type: numberDefault: 0.6Range: 0 - 1
LoRA additive scale. Only applicable on trained models.
num_outputs Type: integerDefault: 1Range: 1 - 4
Number of images to output.
refine_steps Type: integer
For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
guidance_scale Type: numberDefault: 7.5Range: 1 - 50
Scale for classifier-free guidance
apply_watermark Type: booleanDefault: true
Applies a watermark to enable determining if an image is generated in downstream applications. If you have other provisions for generating or deploying images safely, you can use this to disable watermarking.
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1
For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault:
Input Negative Prompt
prompt_strength Type: numberDefault: 0.8Range: 0 - 1
Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
replicate_weights Type: string
Replicate LoRA weights to use. Leave blank to use the default weights.
num_inference_steps Type: integerDefault: 50Range: 1 - 500
Number of denoising steps
disable_safety_checker Type: booleanDefault: false
Disable safety checker for generated images. This feature is only available through the API. See https://replicate.com/docs/how-does-replicate-work#safety
Output Schema

Output

Type: array • Items Type: string • Items Format: uri

Example Execution Logs 
Using seed: 30875
skipping loading .. weights already loaded
Prompt: a coloring page of simple flowers in the style of <s0><s1>, illustration, cartoon, outlines, kid’s coloring page, black and white, white png background, flat 2d
txt2img mode
  0%|          | 0/50 [00:00<?, ?it/s]
  2%|▏         | 1/50 [00:00<00:11,  4.33it/s]
  4%|▍         | 2/50 [00:00<00:11,  4.32it/s]
  6%|▌         | 3/50 [00:00<00:10,  4.32it/s]
  8%|▊         | 4/50 [00:00<00:10,  4.30it/s]
 10%|█         | 5/50 [00:01<00:10,  4.31it/s]
 12%|█▏        | 6/50 [00:01<00:10,  4.32it/s]
 14%|█▍        | 7/50 [00:01<00:09,  4.32it/s]
 16%|█▌        | 8/50 [00:01<00:09,  4.32it/s]
 18%|█▊        | 9/50 [00:02<00:09,  4.32it/s]
 20%|██        | 10/50 [00:02<00:09,  4.32it/s]
 22%|██▏       | 11/50 [00:02<00:09,  4.32it/s]
 24%|██▍       | 12/50 [00:02<00:08,  4.32it/s]
 26%|██▌       | 13/50 [00:03<00:08,  4.32it/s]
 28%|██▊       | 14/50 [00:03<00:08,  4.32it/s]
 30%|███       | 15/50 [00:03<00:08,  4.32it/s]
 32%|███▏      | 16/50 [00:03<00:07,  4.32it/s]
 34%|███▍      | 17/50 [00:03<00:07,  4.32it/s]
 36%|███▌      | 18/50 [00:04<00:07,  4.32it/s]
 38%|███▊      | 19/50 [00:04<00:07,  4.32it/s]
 40%|████      | 20/50 [00:04<00:06,  4.32it/s]
 42%|████▏     | 21/50 [00:04<00:06,  4.32it/s]
 44%|████▍     | 22/50 [00:05<00:06,  4.32it/s]
 46%|████▌     | 23/50 [00:05<00:06,  4.32it/s]
 48%|████▊     | 24/50 [00:05<00:06,  4.32it/s]
 50%|█████     | 25/50 [00:05<00:05,  4.32it/s]
 52%|█████▏    | 26/50 [00:06<00:05,  4.32it/s]
 54%|█████▍    | 27/50 [00:06<00:05,  4.32it/s]
 56%|█████▌    | 28/50 [00:06<00:05,  4.32it/s]
 58%|█████▊    | 29/50 [00:06<00:04,  4.31it/s]
 60%|██████    | 30/50 [00:06<00:04,  4.32it/s]
 62%|██████▏   | 31/50 [00:07<00:04,  4.32it/s]
 64%|██████▍   | 32/50 [00:07<00:04,  4.31it/s]
 66%|██████▌   | 33/50 [00:07<00:03,  4.31it/s]
 68%|██████▊   | 34/50 [00:07<00:03,  4.31it/s]
 70%|███████   | 35/50 [00:08<00:03,  4.31it/s]
 72%|███████▏  | 36/50 [00:08<00:03,  4.31it/s]
 74%|███████▍  | 37/50 [00:08<00:03,  4.31it/s]
 76%|███████▌  | 38/50 [00:08<00:02,  4.31it/s]
 78%|███████▊  | 39/50 [00:09<00:02,  4.30it/s]
 80%|████████  | 40/50 [00:09<00:02,  4.30it/s]
 82%|████████▏ | 41/50 [00:09<00:02,  4.31it/s]
 84%|████████▍ | 42/50 [00:09<00:01,  4.31it/s]
 86%|████████▌ | 43/50 [00:09<00:01,  4.31it/s]
 88%|████████▊ | 44/50 [00:10<00:01,  4.30it/s]
 90%|█████████ | 45/50 [00:10<00:01,  4.31it/s]
 92%|█████████▏| 46/50 [00:10<00:00,  4.30it/s]
 94%|█████████▍| 47/50 [00:10<00:00,  4.30it/s]
 96%|█████████▌| 48/50 [00:11<00:00,  4.31it/s]
 98%|█████████▊| 49/50 [00:11<00:00,  4.31it/s]
100%|██████████| 50/50 [00:11<00:00,  4.31it/s]
100%|██████████| 50/50 [00:11<00:00,  4.31it/s]
Version Details
Version ID
c06c3cc8b271a74ecd47ec1b25d9f01b3cf849729589f0f995c79d7b43a2a9f3
Version Created
November 8, 2023
Run on Replicate →