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prompthunt /sdxl:a3345089
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
|
a TOK man in preppy style, old money aesthetic, posh style, elite school stlye, luxurious style, gossip girl neo-prep style, ralph lauren style, country club style, ivy league style
|
Input prompt
|
| negative_prompt |
string
|
plastic, blurry, grainy, [deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry
|
Input Negative Prompt
|
| num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
9
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| inpaint_prompt |
string
|
closeup of TOK man, natural skin, skin moles, 37 y o caucasian
|
Input inpaint prompt
|
| inpaint_negative_prompt |
string
|
plastic, blurry, grainy, [deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry
|
Input inpaint negative prompt
|
| inpaint_num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
Number of denoising steps for inpainting
|
| inpaint_guidance_scale |
number
|
9
Min: 1 Max: 50 |
Scale for classifier-free guidance for inpainting
|
| inpaint_strength |
number
|
0.35
Max: 1 |
Prompt strength when using inpaint. 1.0 corresponds to full destruction of information in image
|
| upscale_by |
number
|
1.5
Min: 1 Max: 4 |
Upscale by factor
|
| upscale_prompt |
string
|
closeup of TOK man, natural skin, skin moles, 37 y o caucasian
|
Input inpaint prompt
|
| upscale_negative_prompt |
string
|
plastic, blurry, grainy, [deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry
|
Input inpaint negative prompt
|
| upscale_num_inference_steps |
integer
|
25
Min: 1 Max: 500 |
Number of denoising steps for inpainting
|
| upscale_guidance_scale |
number
|
9
Min: 1 Max: 50 |
Scale for classifier-free guidance for inpainting
|
| upscale_strength |
number
|
0.35
Max: 1 |
Prompt strength when using inpaint. 1.0 corresponds to full destruction of information in image
|
| width |
integer
|
768
|
Width of output image
|
| height |
integer
|
1024
|
Height of output image
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| scheduler |
string
(enum)
|
K_EULER
Options: DDIM, DPMSolverMultistep, HeunDiscrete, KarrasDPM, K_EULER_ANCESTRAL, K_EULER, PNDM |
scheduler
|
| prompt_strength |
number
|
0.8
Max: 1 |
Prompt strength when using img2img / inpaint. 1.0 corresponds to full destruction of information in image
|
| mask_blur_amount |
number
|
8
|
Amount to blur the inpaint mask by
|
| seed |
integer
|
1234
|
Random seed. Leave blank to randomize the seed
|
| lora_scale |
number
|
0.4
Max: 1 |
LoRA additive scale. Only applicable on trained models.
|
| pose_image |
string
|
pose_image
|
|
| controlnet_conditioning_scale |
number
|
0.6
Max: 1 |
controlnet_conditioning_scale
|
| weights |
string
|
https://replicate.delivery/pbxt/cv7B5U7T4G4kFN8eXIg7F8FRfbC54hIWyeizfNuH9lcBevtOC/trained_model.tar
|
Replicate LoRA weights to use. Leave blank to use the default weights.
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}