mlscade / stable-diffusion-no-ui-light

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Run mlscade/stable-diffusion-no-ui-light with an API

Use one of our client libraries to get started quickly. Clicking on a library will take you to the Playground tab where you can tweak different inputs, see the results, and copy the corresponding code to use in your own project.

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.

Schema 
{
  "type": "object",
  "title": "Output",
  "required": [
    "images",
    "seeds",
    "prompt"
  ],
  "properties": {
    "seeds": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "title": "Seeds"
    },
    "images": {
      "type": "array",
      "items": {
        "type": "string",
        "format": "uri"
      },
      "title": "Images"
    },
    "prompt": {
      "type": "string",
      "title": "Prompt"
    }
  }
}