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alexgenovese/sdxl-custom-model:e7ca766f

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
prompt
string
ultra highly intricate, detailed, 8k, UHD, HDR, dslr, professional photo, natural lighting, masterpiece, soft lighting, high quality, ultra-detailed, highly detailed, photography, realism, eye-catching, commercial, Fujifilm XT3, 50mm lugens, f/2.5, focused on outfit, (fashion model:1.5), (realistic, photorealistic:2) (Fashion-forward:1.3), (high detailed skin:1.5)
Prompt text
negative_prompt
string
Asian, cartoon, 3d, (disfigured), (bad art), (deformed), (poorly drawn), (extra limbs), (close up), strange colors, blurry, boring, sketch, lackluster, big breast, large breast, huge breasts, face portrait, self-portrait, signature, letters, watermark, disfigured, kitsch, ugly, oversaturated, greain, low-res, deformed, blurry, bad anatomy, poorly drawn face, mutation, mutated, extra limb, poorly drawn hands, missing limb, floating limbs, disconnected limbs, malformed hands, blur, out of focus, long neck, long body, disgusting, poorly drawn, childish, mutilated, mangled, old, surreal, calligraphy, sign, writing, watermark, text, body out of frame, extra legs, extra arms, extra feet, out of frame, poorly drawn feet, cross-eye
Negative prompt
optimizer
number
0.8
Define the optimizer value
seed
integer
12345
Seed number
num_inference_steps
integer
20
Number of inference step
num_inference_steps_refiner
integer
20
Number of inference step for refiner
denoising_start
number
0.8
Denoising start for refiner
denoising_end
number
0.8
Denoising start for refiner
lora_url
string
Link to lora model trained (TAR)

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'format': 'uri', 'title': 'Output', 'type': 'string'}