alexgenovese/test-endpoint 🔢📝❓✓ → 🖼️

▶️ 10.8K runs 📅 Sep 2023 ⚙️ Cog 0.8.6

About

Use Huggingface model name to test a ANY XL model

Example Output

Prompt:

"A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still"

Output

Performance Metrics

15.11s Prediction Time

15.08s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "A realistic fashion photography of an elegant 30 years old blonde woman in an hotel with one red bag. ((full shot)) 8k uhd, dslr, soft lighting, high quality, Fujifilm XT3. detailed face and detailed skin. cinematic lighting, movie still",
  "scheduler": "K_EULER",
  "base_model": "SG161222/RealVisXL_V1.0",
  "num_outputs": 1,
  "guidance_scale": 7.5,
  "apply_watermark": true,
  "negative_prompt": "worst quality, normal quality, low quality, low res, blurry, text, watermark, logo, banner, extra digits, cropped, jpeg artifacts, signature, username, error, sketch ,duplicate, ugly, monochrome, horror, geometry, mutation, disgusting",
  "num_inference_steps": 50
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
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
scheduler Default: K_EULER: scheduler
base_model Type: stringDefault: SG161222/RealVisXL_V1.0: base_model HF sintax
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
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:: Input Negative Prompt
num_inference_steps Type: integerDefault: 50Range: 1 - 500: Number of denoising steps

Output Schema

Output

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

Example Execution Logs

Using seed: 22956
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Version Details

Version ID: 7b1b908e2e28ee517404087adadabe32602530d4f44d20cfac8941b9a05ce267
Version Created: September 25, 2023

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