expa-ai/cloudflare-hack 🔢🖼️📝❓✓ → 🖼️

▶️ 6.3K runs 📅 May 2023 ⚙️ Cog 0.9.5

About

Example Output

Prompt:

"30 year old woman, tousled pixie cut with long side fringe, silver-grey hair, blue-green eyes, delicate features, fair skin with freckles, warm smile, fuzzy light pink sweater, blurred pastel background, natural window lighting, ultra hd portrait photo, carefree feminine style"

Output

Performance Metrics

22.18s Prediction Time

22.22s Total Time

All Input Parameters

{
  "image": "https://replicate.delivery/pbxt/KtyErKSr4GYg3VUiPO3cEgsjJLxDUIsPORgit8VA2XJMmomV/Image%20%2810%29.jpeg",
  "width": 1080,
  "height": 1280,
  "prompt": "30 year old woman, tousled pixie cut with long side fringe, silver-grey hair, blue-green eyes, delicate features, fair skin with freckles, warm smile, fuzzy light pink sweater, blurred pastel background, natural window lighting, ultra hd portrait photo, carefree feminine style",
  "refine": "base_image_refiner",
  "scheduler": "K_EULER",
  "num_outputs": 1,
  "refine_steps": 10,
  "apply_brand_bg": true,
  "guidance_scale": 7.5,
  "apply_watermark": false,
  "negative_prompt": "low quality, jpeg artifacts, blurry ,poorly drawn, ugly, worst quality, face asymmetry, eyes asymmetry, deformed eyes, open mouth, octane render, render, drawing, anime, bad photo, bad photography, worst quality, low quality, blurry, bad teeth, deformed teeth, deformed lips, bad anatomy, bad proportions, deformed iris, deformed pupils, deformed eyes, bad eyes, deformed face, ugly face, bad face, deformed hands, bad hands, fused fingers, morbid, mutilated, mutation, disfigured",
  "num_inference_steps": 30
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
image Type: string: Input image from User.
width Type: integerDefault: 1080: Width of output image
height Type: integerDefault: 1280: 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
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
apply_brand_bg Type: booleanDefault: true: Applies a brand background.
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.
negative_prompt Type: stringDefault:: Negative Prompt
num_inference_steps Type: integerDefault: 30Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Starting Face Analysis
Face analysis done in: 0.02s
Face Found
Using seed: 2294554089
Prompt: 30 year old woman, tousled pixie cut with long side fringe, silver-grey hair, blue-green eyes, delicate features, fair skin with freckles, warm smile, fuzzy light pink sweater, blurred pastel background, natural window lighting, ultra hd portrait photo, carefree feminine style
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Inference took: 10.12s
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100%|██████████| 3/3 [00:01<00:00,  2.82it/s]
Faceswap process Start
Swapped faces in: 0.15s
Restored faces in: 3.47s
Brand background process Start
Image composition took: 0.06s
Brand background process took total: 4.94s
Prediction took: 20.25s

Version Details

Version ID: 70c6e79ba15f2e9ec26c696ad7eb9f5f0ffe2ae32deadfe9e1e7b17333984201
Version Created: May 11, 2024

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