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zedge /stable-diffusion:9260d5f4
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
|
a digital conceptual art illustration, cyberpunk anime digital art, cyberpunk illustration, cyberpunk art station aesthetics, cyberpunk art style, detailed cyberpunk illustration, Digital Conceptual Art Illustration, detailed illustration of game art, detailed digital conceptual art, cinematic lighting
|
User defined prompt
|
| negative_prompt |
string
|
lowres, low resolution, bad quality, jpg artifacts, ugly, deformed, noisy, blurry, noise, low detail, nsfw, topless, see-through, revealing clothing, wrong gender, wrong ethnicity, wrong hair, wrong age, mask, face mask, helmet, face not visible
|
Input Negative Prompt
|
| width |
integer
|
768
|
Width of output image
|
| height |
integer
|
768
|
Height of output image
|
| megapixel_count |
number
|
0.85
Min: 0.5 Max: 3 |
megapixel count for image resizing. 1000x1000 resolution is equal to 1 megapixel
|
| num_outputs |
integer
|
4
Min: 1 Max: 4 |
Number of images to output
|
| num_inference_steps |
integer
|
10
Min: 1 Max: 500 |
Number of denoising steps
|
| strength |
number
|
1
Max: 1 |
How much to transform the reference image (applies to image_to_image model only)
|
| guidance_scale |
number
|
15
Min: 1 Max: 20 |
Scale for classifier-free guidance
|
| scheduler |
None
|
K_EULER
|
Choose a scheduler
|
| seed |
integer
|
Seed value. Leave empty to randomize
|
|
| model_name |
None
|
SDXL_REALVISXL_V4_TEXT_TO_IMAGE
|
Choose a model
|
| image |
string
|
Input image
|
|
| image_zip |
string
|
Input images zip
|
|
| use_clip_interrogator |
boolean
|
False
|
Use CLIP interrogator to describe image in img2img flow
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'title': 'Output', 'type': 'object'}