ai-forever/kandinsky-2.2 🔢❓📝 → 🖼️

▶️ 10.0M runs 📅 Jul 2023 ⚙️ Cog 0.9.4 🔗 GitHub ⚖️ License

controlnet multilingual text-to-image

About

multilingual text2image latent diffusion model

Example Output

Prompt:

"A moss covered astronaut with a black background"

Output

Performance Metrics

9.03s Prediction Time

9.00s Total Time

All Input Parameters

{
  "width": 1024,
  "height": 1024,
  "prompt": "A moss covered astronaut with a black background",
  "num_outputs": 1,
  "num_inference_steps": 75
}

Input Parameters

seed Type: integer: Random seed. Leave blank to randomize the seed
width Default: 512: Width of output image. Lower the setting if hits memory limits.
height Default: 512: Height of output image. Lower the setting if hits memory limits.
prompt Type: stringDefault: A moss covered astronaut with a black background: Input prompt
num_outputs Type: integerDefault: 1Range: 1 - 4: Number of images to output.
output_format Default: webp: Output image format
negative_prompt Type: string: Specify things to not see in the output
num_inference_steps Type: integerDefault: 75Range: 1 - 500: Number of denoising steps
num_inference_steps_prior Type: integerDefault: 25Range: 1 - 500: Number of denoising steps for priors

Output Schema

Output

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

Example Execution Logs

Using seed: 4697
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The following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: ['gross proportions, malformed limbs, missing arms, missing legs, extra arms, extra legs, fused fingers, too many fingers, long neck, username, watermark, signature']
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Version Details

Version ID: ad9d7879fbffa2874e1d909d1d37d9bc682889cc65b31f7bb00d2362619f194a
Version Created: April 10, 2024

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