Fully Customizable Sofas Made in the USA

Product: required
Style: Optional
grow_mask: optional
negative_prompt: optional
output_format: optional
prompt: optional
seed: optional
style_preset: optional

Action

Operation to generate results

Product

Product to generate variants from.

Style

Style room to place product in.

Expand edges

Increase the image dimensions so that the product has more space around it. Default is 1 if version is less than 1.

Samples

Number of images to generate.

Grow mask

Grows the edges of the mask outward in all directions by the specified number of pixels. The expanded area around the mask will be blurred, which can help smooth the transition between inpainted content and the original image. Try this parameter if you notice seams or rough edges around the inpainted content.

Note: Excessive growth may obscure fine details in the mask and/or merge nearby masked regions.

Steps (image-to-X)

Number of diffusion steps to run.

UUID

Type of results

Version

Version of the current iteration.

Seed

A specific value that is used to guide the 'randomness' of the generation.

Unique name

File name of output.

Artifact type

Another folder to group results by.

Object key

Folder to save results.

Image URL

The image to use as the starting point for the generation.

Prompt

What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.

Negative prompt

A blurb of text describing what you do not wish to see in the output image.

Search prompt (search replace)

Short description of what to inpaint in the image.

Style preset

Guides the image model towards a particular style.

Aspect ratio

Controls the aspect ratio of the generated image.

Clip guidance preset (image-to-X)

CLIP guidance brings the result closer to the text prompt. If CLIP guidance is enabled, the Stable Diffusion seed will not behave deterministically. That is because - most likely - CLIP guides the diffusion process and softens the seed value.

Sampler (image-to-X)

Which sampler to use for the diffusion process. If this value is omitted we'll automatically select an appropriate sampler for you.

Strength (Generate image)

Sometimes referred to as denoising, this parameter controls how much influence the image parameter has on the generated image. A value of 0 would yield an image that is identical to the input. A value of 1 would be as if you passed in no image at all.

Image strength (image-to-X)

How much influence the init_image has on the diffusion process. Values close to 1 will yield images very similar to the init_image while values close to 0 will yield images wildly different than the init_image. The behavior of this is meant to mirror DreamStudio's "Image Strength" slider.

This parameter is just an alternate way to set step_schedule_start, which is done via the calculation 1 - image_strength. For example, passing in an Image Strength of 35% (0.35) would result in a step_schedule_start of 0.65.

Creativity (upscale)

Controls the likelihood of creating additional details not heavily conditioned by the init image.

CFG scale (image-to-X, video)

How strongly the video sticks to the original image. Use lower values to allow the model more freedom to make changes and higher values to correct motion distortions.

Motion bucket ID (video)

Lower values generally result in less motion in the output video, while higher values generally result in more motion. This parameter corresponds to the motion_bucket_id parameter from the paper.

Generations

Live images