You're looking at a specific version of this model. Jump to the model overview.
vetkastar /stable_diffusion_webui_no_ui:3da59993
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 |
None
|
txt2img
|
Generation mode
|
clip_stop_at_last_layers |
integer
|
2
Min: 1 Max: 12 |
Clip skip
|
tiling |
boolean
|
False
|
Enable tiling
|
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 [img2img or postprocessing modes only]
|
|
cfg_scale |
number
|
7
|
CFG scale
|
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 |
None
|
Euler a
|
Sampling method
|
sampler_steps |
integer
|
20
Min: 1 Max: 50 |
Sampling steps [Doesn't work in postprocess mode].
|
hr_enabled |
boolean
|
False
|
[HR] Enable
|
denoising_strength |
number
|
0.75
|
[HR] Denoising strength
|
hr_scale |
number
|
2
|
[HR] Upscale by
|
hr_second_pass_steps |
number
|
0
|
[HR] Hires steps
|
hr_upscaler |
None
|
4x_foolhardy_Remacri
|
[HR] Upscaler
|
hr_resize_x |
integer
|
0
|
[HR] Resize width to
|
hr_resize_y |
integer
|
0
|
[HR] Resize height to
|
ad_enabled |
boolean
|
False
|
[adetailer] Enable
|
ad_model |
None
|
face_yolov8s
|
[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 |
None
|
Euler a
|
[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 |
None
|
None
|
[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
|
sd_upscaler_enable |
boolean
|
False
|
[SD upscaler] Enable
|
sd_upscaler_upscaler |
None
|
4x_foolhardy_Remacri
|
[SD upscaler] Upscaler
|
sd_upscaler_tile_overlap |
integer
|
16
|
[SD upscaler] Tile overlap
|
sd_upscaler_scale_factor |
number
|
2
|
[SD upscaler] Scale Factor
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'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'}