asiryan/juggernaut-aftermath 🖼️🔢📝❓✓ → 🖼️

▶️ 2.5K runs 📅 Dec 2023 ⚙️ Cog 0.8.6 🔗 GitHub ⚖️ License

image-inpainting image-to-image text-to-image

About

Juggernaut Aftermath Model with original TRCVAE (Text2Img, Img2Img and Inpainting)

Example Output

Prompt:

"Portrait photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, (masterpiece), ((streets)), (detailed face:1.2), (glowing blue eyes:1.1)"

Output

Performance Metrics

4.53s Prediction Time

4.60s Total Time

All Input Parameters

{
  "width": 512,
  "height": 728,
  "prompt": "Portrait photo of muscular bearded guy in a worn mech suit, ((light bokeh)), intricate, (steel metal [rust]), elegant, sharp focus, photo by greg rutkowski, soft lighting, vibrant colors, (masterpiece), ((streets)), (detailed face:1.2), (glowing blue eyes:1.1)",
  "strength": 1,
  "scheduler": "K_EULER_ANCESTRAL",
  "guidance_scale": 7.5,
  "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3)",
  "use_karras_sigmas": false,
  "num_inference_steps": 20
}

Input Parameters

mask Type: string: Mask image for inpainting mode
seed Type: integer: Leave blank to randomize
image Type: string: Input image for img2img and inpainting modes
width Type: integerDefault: 512Range: 0 - 1920: Width
height Type: integerDefault: 728Range: 0 - 1920: Height
prompt Type: stringDefault: ((masterpiece)),((best quality)),((high detial)),((realistic,)) Industrial age city, deep canyons in the middle, architectural streets, bazaars, Bridges, rainy days, steampunk, European architecture: Input prompt
strength Type: numberDefault: 1Range: 0 - 1: Strength/weight
scheduler Default: K_EULER_ANCESTRAL: Scheduler
guidance_scale Type: numberDefault: 7.5Range: 0 - 10: Guidance scale
negative_prompt Type: stringDefault: (worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3): Input Negative Prompt
use_karras_sigmas Type: booleanDefault: false: Use karras sigmas or not
num_inference_steps Type: integerDefault: 20Range: 0 - 100: Number of inference steps

Output Schema

Output

Type: string • Format: uri

Example Execution Logs

Scheduler: K_EULER_ANCESTRAL
Using karras sigmas: False
Using seed: 34015
Mode: text2img
  0%|          | 0/20 [00:00<?, ?it/s]
  5%|▌         | 1/20 [00:00<00:02,  6.40it/s]
 10%|█         | 2/20 [00:00<00:02,  6.35it/s]
 15%|█▌        | 3/20 [00:00<00:02,  6.34it/s]
 20%|██        | 4/20 [00:00<00:02,  6.34it/s]
 25%|██▌       | 5/20 [00:00<00:02,  6.33it/s]
 30%|███       | 6/20 [00:00<00:02,  6.33it/s]
 35%|███▌      | 7/20 [00:01<00:02,  6.33it/s]
 40%|████      | 8/20 [00:01<00:01,  6.33it/s]
 45%|████▌     | 9/20 [00:01<00:01,  6.33it/s]
 50%|█████     | 10/20 [00:01<00:01,  6.33it/s]
 55%|█████▌    | 11/20 [00:01<00:01,  6.32it/s]
 60%|██████    | 12/20 [00:01<00:01,  6.32it/s]
 65%|██████▌   | 13/20 [00:02<00:01,  6.32it/s]
 70%|███████   | 14/20 [00:02<00:00,  6.30it/s]
 75%|███████▌  | 15/20 [00:02<00:00,  6.30it/s]
 80%|████████  | 16/20 [00:02<00:00,  6.30it/s]
 85%|████████▌ | 17/20 [00:02<00:00,  6.30it/s]
 90%|█████████ | 18/20 [00:02<00:00,  6.30it/s]
 95%|█████████▌| 19/20 [00:03<00:00,  6.29it/s]
100%|██████████| 20/20 [00:03<00:00,  6.29it/s]
100%|██████████| 20/20 [00:03<00:00,  6.32it/s]

Version Details

Version ID: 5df5df803ba948e98a2364aa07a3e5a23e11082ecf47ec123cffe0b820f07c11
Version Created: December 4, 2023

Run on Replicate →