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alexgenovese /sdxl-custom-model:a6bda250
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
|
| refiner_repo_id |
string
|
stabilityai/stable-diffusion-xl-refiner-1.0
|
Refiner repo id from HF
|
| 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'}