nateraw/qrcode-stable-diffusion 🔢📝 → 🖼️

▶️ 56.7K runs 📅 Jun 2023 ⚙️ Cog 0.7.2 🔗 GitHub

controlnet qr-code qr-code-generation text-to-image

About

Create Stylish AI-Generated QR Codes with Stable Diffusion

Example Output

Prompt:

"The french countryside, green pastures, lush environment, vivid colors, animation by studio ghibli"

Output

Performance Metrics

27.19s Prediction Time

401.48s Total Time

All Input Parameters

{
  "seed": 1234,
  "prompt": "The french countryside, green pastures, lush environment, vivid colors, animation by studio ghibli",
  "strength": 0.9,
  "batch_size": 1,
  "guidance_scale": 7.5,
  "negative_prompt": "ugly, disfigured, low quality, blurry, nsfw",
  "qr_code_content": "https://replicate.com",
  "num_inference_steps": 40,
  "controlnet_conditioning_scale": 1.5
}

Input Parameters

seed Type: integerDefault: -1: Seed
prompt (required) Type: string: The prompt to guide QR Code generation.
strength Type: numberDefault: 0.9Range: 0 - 1: Indicates how much to transform the masked portion of the reference `image`. Must be between 0 and 1.
batch_size Type: integerDefault: 1Range: 1 - 4: Batch size for this prediction
guidance_scale Type: numberDefault: 7.5Range: 0.1 - 30: Scale for classifier-free guidance
negative_prompt Type: stringDefault: ugly, disfigured, low quality, blurry, nsfw: The negative prompt to guide image generation.
qr_code_content (required) Type: string: The website/content your QR Code will point to.
num_inference_steps Type: integerDefault: 40Range: 20 - 100: Number of diffusion steps
controlnet_conditioning_scale Type: numberDefault: 1.5Range: 1 - 2: The outputs of the controlnet are multiplied by `controlnet_conditioning_scale` before they are added to the residual in the original unet.

Output Schema

Output

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

Example Execution Logs

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Version Details

Version ID: 9cdabf8f8a991351960c7ce2105de2909514b40bd27ac202dba57935b07d29d4
Version Created: June 30, 2023

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