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 |
string
(enum)
|
txt2img
Options: txt2img, img2img, postprocess |
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 |
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].
|
| 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 |
string
(enum)
|
4x_foolhardy_Remacri
Options: Latent, Latent (antialiased), Latent (bicubic), Latent (bicubic antialiased), Latent (nearest), Latent (nearest-exact), 4x-AnimeSharp, 4x_foolhardy_Remacri, 8x_NMKD-Superscale_150000_G, Без модели |
[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 |
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
|
| sd_upscaler_enable |
boolean
|
False
|
[SD upscaler] Enable
|
| sd_upscaler_upscaler |
string
(enum)
|
4x_foolhardy_Remacri
Options: 4x-AnimeSharp, 4x_foolhardy_Remacri, 8x_NMKD-Superscale_150000_G, Без модели |
[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.
{'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'}