georgedavila/sdxl-bling 🔢📝 → 🖼️

▶️ 57 runs 📅 Jan 2024 ⚙️ Cog 0.8.6 🔗 GitHub
jewelry text-to-image watches

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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