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mlscade /stable_diffusion_no_ui_inpaint:acf6a4d9
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 |
---|---|---|---|
generation_type |
string
(enum)
|
img2img
Options: img2img, postprocess |
Generation mode
|
clip_stop_at_last_layers |
integer
|
2
Min: 1 Max: 12 |
Clip skip
|
upload_lora |
string
|
Upload LoRA
|
|
prompt |
string
|
|
Prompt
|
negative_prompt |
string
|
(deformed, distorted, disfigured:1.3), (naked, nude:1.5), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation
|
Negative prompt
|
image |
string
|
Input image
|
|
image_mask |
string
|
Mask
|
|
mask_blur |
integer
|
4
|
Mask blur
|
resize_mode |
string
(enum)
|
Just resize
Options: Just resize, Resize and fill |
Resize mode
|
inpainting_mask_invert |
string
(enum)
|
Inpaint masked
Options: Inpaint masked, Inpaint not masked |
Mask mode
|
inpainting_fill |
string
(enum)
|
Original
Options: Fill, Original, Latent noise |
Masked content
|
inpaint_full_res |
string
(enum)
|
Whole picture
Options: Whole picture, Only masked |
Inpaint area
|
inpaint_full_res_padding |
integer
|
32
|
Only masked padding, pixels
|
cfg_scale |
number
|
7
|
CFG scale
|
denoising_strength |
number
|
0.75
|
[HR] Denoising strength
|
seed |
integer
|
Seed. Leave blank for random generation
|
|
width |
integer
|
512
|
Width
|
height |
integer
|
512
|
Height
|
num_outputs |
integer
|
1
Min: 1 Max: 4 |
Batch size [Doesn't work in postprocess mode].
|
sampler |
string
(enum)
|
Euler a
Options: DPM++ 2M Karras, DPM++ SDE Karras, DPM++ 2M SDE Exponential, DPM++ 2M SDE Karras, Euler a, Euler, LMS, Heun, DPM2, DPM2 a, DPM++ 2S a, DPM++ SDE, DPM++ 2M SDE, DPM++ 2M SDE Heun Karras, DPM++ 2M SDE Heun Exponential, DPM++ 3M SDE, DPM++ 3M SDE Karras, DPM++ 3M SDE Exponential, DPM fast, DPM adaptive, LMS Karras, DPM2 Karras, DPM2 a Karras, DPM++ 2S a Karras, Restart, DDIM, PLMS, UniPC |
Sampling method
|
sampler_steps |
integer
|
20
Min: 1 Max: 50 |
Sampling steps [Doesn't work in postprocess mode].
|
ad_enabled |
boolean
|
False
|
[adetailer] Enable
|
ad_model |
string
(enum)
|
face_yolov8s
Options: face_yolov8n, face_yolov8s, hand_yolov8n, person_yolov8n-seg, person_yolov8s-seg, mediapipe_face_full, mediapipe_face_short, mediapipe_face_mesh, mediapipe_face_mesh_eyes_only, deepfashion2_yolov8s-seg, Без модели |
[adetailer] ADetailer model
|
ad_prompt |
string
|
|
[adetailer] ADetailer prompt
|
ad_negative_prompt |
string
|
|
[adetailer] ADetailer negative prompt
|
ad_use_sampler |
boolean
|
True
|
[adetailer] Use separate sampler
|
ad_sampler |
string
(enum)
|
Euler a
Options: DPM++ 2M Karras, DPM++ SDE Karras, DPM++ 2M SDE Exponential, DPM++ 2M SDE Karras, Euler a, Euler, LMS, Heun, DPM2, DPM2 a, DPM++ 2S a, DPM++ SDE, DPM++ 2M SDE, DPM++ 2M SDE Heun Karras, DPM++ 2M SDE Heun Exponential, DPM++ 3M SDE, DPM++ 3M SDE Karras, DPM++ 3M SDE Exponential, DPM fast, DPM adaptive, LMS Karras, DPM2 Karras, DPM2 a Karras, DPM++ 2S a Karras, Restart, DDIM, PLMS, UniPC |
[adetailer] ADetailer sampler
|
ad_confidence |
number
|
0.3
|
[adetailer] Detection model confidence threshold
|
ad_dilate_erode |
integer
|
4
|
[adetailer] Mask erosion (-) / dilation (+)
|
ad_mask_blur |
integer
|
4
|
[adetailer] Inpaint mask blur
|
ad_mask_merge_mode |
string
(enum)
|
None
Options: None, Merge, Merge and Invert |
[adetailer] Mask merge mode
|
ad_denoising_strength |
number
|
0.4
|
[adetailer] Inpaint denoising strength
|
ad_inpaint_only_masked |
boolean
|
True
|
[adetailer] Inpaint only masked
|
ad_inpaint_only_masked_padding |
integer
|
32
|
[adetailer] Inpaint only masked padding, pixels
|
ad_use_inpaint_width_height |
boolean
|
False
|
[adetailer] Use separate width/height
|
ad_inpaint_width |
integer
|
512
|
[adetailer] Inpaint width
|
ad_inpaint_height |
integer
|
512
|
[adetailer] Inpaint height
|
Output schema
The shape of the response you’ll get when you run this model with an API.
{'properties': {'images': {'items': {'format': 'uri', 'type': 'string'},
'title': 'Images',
'type': 'array'},
'prompt': {'title': 'Prompt', 'type': 'string'},
'seeds': {'items': {'type': 'string'},
'title': 'Seeds',
'type': 'array'}},
'required': ['images', 'seeds', 'prompt'],
'title': 'Output',
'type': 'object'}