Latent Consistency Models (v1.5/XL)

Run SDXL at the speed of light

Inference$ Commercial useFrom 1 credit per run

About Latent Consistency Models (v1.5/XL)

Run SDXL at the speed of light

lcmdiffusionturboreal-time

Pricing

A run with the default settings costs 1 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

prompttextarearequired

The prompt to use for generating the image. Be as descriptive as possible for best results.

negative_prompttextareadefault: ""

The negative prompt to use. Use it to address details that you don't want in the image. This could be colors, objects, scenery and even the small details (e.g. moustache, blurry, low resolution).

image_sizeselectdefault: "square_hd"

The size of the generated image.

Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9

num_inference_stepsintegerdefault: 6

The number of inference steps to perform.

seedintegerdefault: null

The same seed and the same prompt given to the same version of Stable Diffusion will output the same image every time.

guidance_scalenumberdefault: 1.5

The CFG (Classifier Free Guidance) scale is a measure of how close you want the model to stick to your prompt when looking for a related image to show you.

sync_modebooleandefault: true

If `True`, the media will be returned as a data URI and the output data won't be available in the request history.

num_imagesintegerdefault: 1

The number of images to generate.

enable_safety_checkerbooleandefault: true

If set to true, the safety checker will be enabled.

safety_checker_versionselectdefault: "v1"

The version of the safety checker to use. v1 is the default CompVis safety checker. v2 uses a custom ViT model.

Options: v1, v2

enable_prompt_expansionbooleandefault: false

If set to true, the prompt will be expanded with additional prompts.

formatselectdefault: "jpeg"

The format of the generated image.

Options: jpeg, png

request_idtextdefault: ""

An id bound to a request, can be used with response to identify the request itself.

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