georgedavila/ay-chihuahua-sdxl-lora 🔢📝 → 🖼️

▶️ 26 runs 📅 Jan 2024 ⚙️ Cog 0.8.6 🔗 GitHub
chihuahua dogs text-to-image

About

SDXL LoRA I trained on chihuahua images

Example Output

Output

Example output

Performance Metrics

13.65s Prediction Time
13.68s Total Time
All Input Parameters 
{
  "myprompt": "A photo of a chihuahua eating a taco",
  "outWidth": 1024,
  "outHeight": 1024,
  "lora_scale": 0.6,
  "num_outputs": 1,
  "guidanceScale": 7.5,
  "promptAddendum": "in the style of TOK",
  "high_noise_frac": 0.8,
  "negative_prompt": "cartoon, 3d, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), wierd colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy, 3d render",
  "num_inference_steps": 50
}
Input Parameters
seed Type: integer
Random seed. Leave blank to randomize the seed
myprompt Type: stringDefault: A photo of a chihuahua
Input prompt
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: in the style of TOK
Extra terms to add to end of prompt (TOK is the style-oriented term for this LoRA)
high_noise_frac Type: numberDefault: 0.8Range: 0 - 1
For expert_ensemble_refiner, the fraction of noise to use
negative_prompt Type: stringDefault: cartoon, 3d, ((disfigured)), ((bad art)), ((deformed)),((extra limbs)),((close up)),((b&w)), wierd colors, blurry, (((duplicate))), ((morbid)), ((mutilated)), [out of frame], extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), ((ugly)), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), out of frame, ugly, extra limbs, (bad anatomy), gross proportions, (malformed limbs), ((missing arms)), ((missing legs)), (((extra arms))), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), Photoshop, video game, ugly, tiling, poorly drawn hands, poorly drawn feet, poorly drawn face, out of frame, mutation, mutated, extra limbs, extra legs, extra arms, disfigured, deformed, cross-eye, body out of frame, blurry, bad art, bad anatomy, 3d render
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
5ef6ef3ad9f765383788d3e74e359b0cf742780e3b795792643737a526d9890c
Version Created
January 3, 2024
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