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batouresearch /sdxl-controlnet-lora-inpaint:afd44f42
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
|
Medium shot, Adorable creature with big reflective eyes, moody lighting, best quality, full body portrait, real picture, intricate details, depth of field, in a forest, fujifilm xt3, outdoors, bright day, beautiful lighting, raw photo, 8k uhd, film grain, unreal engine 5, ray tracing
|
Recommended tokens: Architecture Photography, Wildlife Photography, Car Photography, Food Photography, Interior Photography, Landscape Photography, Hyperdetailed Photography, Cinematic, Movie Still, Mid Shot Photo, Full Body Photo, Skin Details
|
| negative_prompt |
string
|
worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art, watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name, blur, blurry, grainy, morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur, 3D ,3D Game, 3D Game Scene, 3D Character, bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities
|
Input Negative Prompt
|
| image |
string
|
Input image for img2img or inpaint mode
|
|
| mask |
string
|
Input mask for inpaint mode. Black areas will be preserved, white areas will be inpainted.
|
|
| prompt_strength |
number
|
0.8
Max: 1 |
Strength of the given prompt. 1 means total destruction of input image.
|
| condition_scale |
number
|
0.5
Max: 1 |
The bigger this number is, the more ControlNet interferes
|
| num_outputs |
integer
|
1
Min: 1 Max: 4 |
Number of images to output.
|
| scheduler |
string
(enum)
|
DDIM
Options: DDIM, DPMSolverMultistep, HeunDiscrete, K_EULER_ANCESTRAL, K_EULER, PNDM, KarrasDPM |
scheduler
|
| num_inference_steps |
integer
|
35
Min: 1 Max: 500 |
Number of denoising steps
|
| guidance_scale |
number
|
7
Min: 1 Max: 50 |
Scale for classifier-free guidance
|
| seed |
integer
|
Random seed. Leave blank to randomize the seed
|
|
| lora_scale |
number
|
0.6
Max: 1 |
LoRA additive scale. Only applicable on trained models.
|
| lora_weights |
string
|
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.
Schema
{'items': {'format': 'uri', 'type': 'string'},
'title': 'Output',
'type': 'array'}