georgedavila/sdxl-bling 🔢📝 → 🖼️

▶️ 58 runs 📅 Jan 2024 ⚙️ Cog 0.8.6 🔗 GitHub
jewelry text-to-image watches

Performance

13.7sTypical run time
58Total runs

About

SDXL LoRA finetuned on diamond watches

Example Output

Output

Example output

Performance Metrics

13.66s Prediction Time
13.72s Total Time
All Input Parameters 
{
  "myprompt": "a photo of a beach-themed watch, in the style of TOK",
  "outWidth": 1024,
  "outHeight": 1024,
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidanceScale": 7.5,
  "promptAddendum": "",
  "high_noise_frac": 0.8,
  "negative_prompt": "deformed, blurry, (close up)",
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
myprompt Type: stringDefault: a photo of a gold watch, in the style of TOK
Input prompt (TOK is the style trigger word)
outWidth Type: integerDefault: 1024Range: 128 - 4096
width of output
outHeight Type: integerDefault: 1024Range: 128 - 4096
height of output
lora_scale Type: numberDefault: 0.6Range: 0 - 1
LoRA additive scale. Only applicable on trained models.
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
guidanceScale Type: numberDefault: 7.5Range: 0 - 50
Guidance scale (influence of input text on generation)
promptAddendum Type: stringDefault:
Extra terms to add to end of prompt
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1
For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault: deformed, blurry
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 
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Version Details
Version ID
26b301ef3d371f475185eb1a420ae156aa0836971557123475cbb9bb352d55d6
Version Created
January 7, 2024
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