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georgedavila /ay-chihuahua-sdxl-lora:4ea78885
Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
Field | Type | Default value | Description |
---|---|---|---|
myprompt |
string
|
A photo in the style of TOK
|
Input prompt (TOK is the style-oriented term)
|
negative_prompt |
string
|
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
|
outWidth |
integer
|
1024
Min: 128 Max: 4096 |
width of output
|
outHeight |
integer
|
1024
Min: 128 Max: 4096 |
height of output
|
guidanceScale |
number
|
7.5
Max: 50 |
Guidance scale (influence of input text on generation)
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
num_inference_steps |
integer
|
50
Min: 1 Max: 500 |
Number of denoising steps
|
seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
high_noise_frac |
number
|
0.8
Max: 1 |
For expert_ensemble_refiner, the fraction of noise to use
|
refine_steps |
integer
|
For base_image_refiner, the number of steps to refine, defaults to num_inference_steps
|
|
lora_scale |
number
|
0.6
Max: 1 |
LoRA additive scale. Only applicable on trained models.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}