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joyanujoy /analog_diffusion:1924c521

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 photo of <1> riding a horse on mars
Input prompt. Use <1>, <2>, <3>, etc., to specify LoRA concepts
negative_prompt
string
Specify things to not see in the output
width
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Width of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
height
integer (enum)
512

Options:

128, 256, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960, 1024

Height of output image. Maximum size is 1024x768 or 768x1024 because of memory limits
num_outputs
integer
1

Min: 1

Max: 4

Number of images to output.
num_inference_steps
integer
50

Min: 1

Max: 500

Number of denoising steps
guidance_scale
number
7.5

Min: 1

Max: 20

Scale for classifier-free guidance
image
string
(Img2Img) Inital image to generate variations of. If this is not none, Img2Img will be invoked.
remove_background
boolean
True
Automatically remove background from above Img2Img initial image.
clip_interrogator
boolean
True
Generate prompt from init image. Generated prompt will override manually entered text prompt input
prompt_strength
number
0.8
(Img2Img) Prompt strength when providing the image. 1.0 corresponds to full destruction of information in init image
scheduler
string (enum)
DPMSolverMultistep

Options:

DDIM, K_EULER, DPMSolverMultistep, K_EULER_ANCESTRAL, PNDM, KLMS

Choose a scheduler.
lora_urls
string
List of urls for safetensors of lora models, seperated with | .
lora_scales
string
0.5
List of scales for safetensors of lora models, seperated with |
seed
integer
Random seed. Leave blank to randomize the seed
adapter_condition_image
string
(T2I-adapter) Adapter Condition Image to gain extra control over generation. If this is not none, T2I adapter will be invoked.
adapter_type
string (enum)
sketch

Options:

sketch, seg, keypose, depth

(T2I-adapter) Choose an adapter type for the additional condition.
upscale
integer (enum)

Options:

2, 4, 8

Upscaling factor
verbose_response
boolean
False
Return a response object with detail info. Prompt, seed used etc.

Output schema

The shape of the response you’ll get when you run this model with an API.

Schema
{'properties': {'adapter_type': {'title': 'Adapter Type', 'type': 'string'},
                'clip_interrogator': {'title': 'Clip Interrogator'},
                'guidance_scale': {'title': 'Guidance Scale', 'type': 'number'},
                'height': {'title': 'Height', 'type': 'integer'},
                'images': {'default': [],
                           'items': {'format': 'uri', 'type': 'string'},
                           'title': 'Images',
                           'type': 'array'},
                'negative_prompt': {'title': 'Negative Prompt',
                                    'type': 'string'},
                'num_inference_steps': {'title': 'Num Inference Steps',
                                        'type': 'integer'},
                'prompt': {'title': 'Prompt', 'type': 'string'},
                'prompt_strength': {'title': 'Prompt Strength'},
                'remove_background': {'title': 'Remove Background'},
                'scheduler': {'title': 'Scheduler', 'type': 'string'},
                'seed': {'title': 'Seed', 'type': 'integer'},
                'upscale': {'title': 'Upscale'},
                'width': {'title': 'Width', 'type': 'integer'}},
 'title': 'Output',
 'type': 'object'}