humanvideointeraction/t2i-adapter-sketch-sdxl 🔢🖼️📝 → 🖼️

▶️ 294 runs 📅 Sep 2023 ⚙️ Cog 0.7.2
image-to-image sketch-to-image

About

ControlNet Scribble for SDXL

Example Output

Prompt:

"a robot, mount fuji in the background, 4k photo, highly detailed"

Output

Example outputExample output

Performance Metrics

5.42s Prediction Time
90.13s Total Time
All Input Parameters
{
  "seed": 0,
  "image": "https://replicate.delivery/pbxt/JYjxKVHsb0DIcjKhGwECMW6QoDChBXZfvTpHKpkBckay804G/org_sketch.png",
  "prompt": "a robot, mount fuji in the background, 4k photo, highly detailed",
  "guidance_scale": 7.5,
  "negative_prompt": "extra digit, fewer digits, cropped, worst quality, low quality, glitch, deformed, mutated, ugly, disfigured",
  "num_inference_steps": 30,
  "adapter_condition_scale": 0.9
}
Input Parameters
seed Type: integerDefault: 0
Random seed. Set to 0 to randomize the seed
image Type: string
Input image
prompt Type: stringDefault: a robot, mount fuji in the background, 4k photo, highly detailed
Input prompt
guidance_scale Type: numberDefault: 7.5
Scale for classifier-free guidance
negative_prompt Type: stringDefault: extra digit, fewer digits, cropped, worst quality, low quality, glitch, deformed, mutated, ugly, disfigured
Input Negative Prompt
num_inference_steps Type: integerDefault: 30Range: 1 - 500
Number of denoising steps
adapter_condition_scale Type: numberDefault: 0.9Range: 0 - 1
conditioning scale for generalization
Output Schema

Output

Type: arrayItems Type: stringItems Format: uri

Example Execution Logs
Using seed: 64369
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 90%|█████████ | 27/30 [00:02<00:00, 11.99it/s]
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100%|██████████| 30/30 [00:02<00:00, 11.76it/s]
Version Details
Version ID
00e7103b21053a327f8e00e6a861f4df08136b6c585fa0d3c7ab3128777e255a
Version Created
September 20, 2023
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