chore(client): update endpoint types (#113)
This commit is contained in:
Daniel Rochetti
GitHub
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337
libs/client/src/types/endpoints.ts
generated
337
libs/client/src/types/endpoints.ts
generated
@ -2069,7 +2069,7 @@ export type CreativeUpscalerInput = {
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*/
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shape_preservation?: number;
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/**
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* The suffix to add to the generated prompt. Not used for a custom prompt. This is useful to add a common ending to all prompts such as 'high quality' etc or embedding tokens. Default value: `" high quality, highly detailed, high resolution, sharp"`
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* The suffix to add to the prompt. This is useful to add a common ending to all prompts such as 'high quality' etc or embedding tokens. Default value: `" high quality, highly detailed, high resolution, sharp"`
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*/
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prompt_suffix?: string;
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/**
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@ -6286,6 +6286,91 @@ export type FluxLoraFastTrainingOutput = {
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*/
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config_file: File;
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};
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export type FluxLoraFillInput = {
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/**
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* The prompt to generate an image from.
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*/
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prompt: string;
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/**
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* The size of the generated image.
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*/
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image_size?:
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| ImageSize
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| "square_hd"
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| "square"
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| "portrait_4_3"
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| "portrait_16_9"
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| "landscape_4_3"
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| "landscape_16_9";
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/**
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* The number of inference steps to perform. Default value: `28`
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*/
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num_inference_steps?: number;
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/**
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* The same seed and the same prompt given to the same version of the model
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* will output the same image every time.
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*/
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seed?: number;
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/**
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* The LoRAs to use for the image generation. You can use any number of LoRAs
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* and they will be merged together to generate the final image. Default value: ``
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*/
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loras?: Array<LoraWeight>;
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/**
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* The CFG (Classifier Free Guidance) scale is a measure of how close you want
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* the model to stick to your prompt when looking for a related image to show you. Default value: `30`
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*/
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guidance_scale?: number;
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/**
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* If set to true, the function will wait for the image to be generated and uploaded
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* before returning the response. This will increase the latency of the function but
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* it allows you to get the image directly in the response without going through the CDN.
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*/
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sync_mode?: boolean;
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/**
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* The number of images to generate. Default value: `1`
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*/
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num_images?: number;
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/**
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* If set to true, the safety checker will be enabled. Default value: `true`
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*/
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enable_safety_checker?: boolean;
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/**
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* The format of the generated image. Default value: `"jpeg"`
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*/
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output_format?: "jpeg" | "png";
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/**
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* URL of image to use for fill operation
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*/
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image_url: string | Blob | File;
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/**
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* The mask to area to Inpaint in.
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*/
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mask_url: string | Blob | File;
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};
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export type FluxLoraFillOutput = {
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/**
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* The generated image files info.
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*/
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images: Array<Image>;
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/**
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*
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*/
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timings: any;
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/**
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* Seed of the generated Image. It will be the same value of the one passed in the
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* input or the randomly generated that was used in case none was passed.
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*/
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seed: number;
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/**
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* Whether the generated images contain NSFW concepts.
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*/
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has_nsfw_concepts: Array<boolean>;
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/**
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* The prompt used for generating the image.
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*/
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prompt: string;
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};
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export type FluxLoraImageToImageInput = {
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/**
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* The prompt to generate an image from.
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@ -6537,6 +6622,55 @@ export type FluxLoraOutput = {
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*/
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prompt: string;
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};
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export type FluxLoraPortraitTrainerInput = {
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/**
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* URL to zip archive with images of a consistent style. Try to use at least 10 images, although more is better.
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*
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* In addition to images the archive can contain text files with captions. Each text file should have the same name as the image file it corresponds to.
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*
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* The captions can include a special string `[trigger]`. If a trigger_word is specified, it will replace `[trigger]` in the captions.
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*/
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images_data_url: string | Blob | File;
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/**
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* Trigger phrase to be used in the captions. If None, a trigger word will not be used.
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* If no captions are provide the trigger_work will be used instead of captions. If captions are provided, the trigger word will replace the `[trigger]` string in the captions.
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*/
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trigger_phrase?: string;
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/**
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* Learning rate to use for training. Default value: `0.00009`
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*/
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learning_rate?: number;
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/**
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* Number of steps to train the LoRA on. Default value: `2500`
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*/
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steps?: number;
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/**
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* If True, multiresolution training will be used. Default value: `true`
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*/
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multiresolution_training?: boolean;
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/**
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* If True, the subject will be cropped from the image. Default value: `true`
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*/
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subject_crop?: boolean;
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/**
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* The format of the archive. If not specified, the format will be inferred from the URL.
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*/
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data_archive_format?: string;
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/**
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* URL to a checkpoint to resume training from. Default value: `""`
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*/
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resume_from_checkpoint?: string;
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};
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export type FluxLoraPortraitTrainerOutput = {
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/**
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* URL to the trained diffusers lora weights.
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*/
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diffusers_lora_file: File;
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/**
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* URL to the training configuration file.
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*/
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config_file: File;
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};
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export type FluxProCannyControlInput = {
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/**
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* The prompt to generate an image from.
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@ -11382,44 +11516,23 @@ export type ImageToVideoInput = {
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*/
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prompt: string;
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/**
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* The size of the generated video. Default value: `[object Object]`
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*/
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video_size?:
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| ImageSize
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| "square_hd"
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| "square"
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| "portrait_4_3"
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| "portrait_16_9"
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| "landscape_4_3"
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| "landscape_16_9";
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/**
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* The negative prompt to generate video from Default value: `""`
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* The negative prompt to generate the video from. Default value: `"low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly"`
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*/
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negative_prompt?: string;
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/**
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* The number of inference steps to perform. Default value: `50`
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*/
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num_inference_steps?: number;
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/**
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* The same seed and the same prompt given to the same version of the model
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* will output the same video every time.
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* The seed to use for random number generation.
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*/
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seed?: number;
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/**
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* The CFG (Classifier Free Guidance) scale is a measure of how close you want
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* the model to stick to your prompt when looking for a related video to show you. Default value: `7`
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* The number of inference steps to take. Default value: `30`
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*/
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num_inference_steps?: number;
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/**
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* The guidance scale to use. Default value: `3`
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*/
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guidance_scale?: number;
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/**
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* Use RIFE for video interpolation Default value: `true`
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*/
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use_rife?: boolean;
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/**
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* The target FPS of the video Default value: `16`
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*/
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export_fps?: number;
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/**
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* The URL to the image to generate the video from.
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* The URL of the image to generate the video from.
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*/
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image_url: string | Blob | File;
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};
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@ -12806,6 +12919,50 @@ export type IpAdapterFaceIdOutput = {
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*/
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seed: number;
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};
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export type KlingVideoV15ProImageToVideoInput = {
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/**
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*
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*/
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prompt: string;
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/**
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*
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*/
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image_url: string | Blob | File;
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/**
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* The duration of the generated video in seconds Default value: `"5"`
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*/
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duration?: "5" | "10";
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/**
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* The aspect ratio of the generated video frame Default value: `"16:9"`
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*/
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aspect_ratio?: "16:9" | "9:16" | "1:1";
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};
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export type KlingVideoV15ProImageToVideoOutput = {
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/**
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* The generated video
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*/
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video: File;
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};
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export type KlingVideoV15ProTextToVideoInput = {
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/**
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*
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*/
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prompt: string;
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/**
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* The duration of the generated video in seconds Default value: `"5"`
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*/
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duration?: "5" | "10";
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/**
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* The aspect ratio of the generated video frame Default value: `"16:9"`
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*/
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aspect_ratio?: "16:9" | "9:16" | "1:1";
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};
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export type KlingVideoV15ProTextToVideoOutput = {
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/**
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* The generated video
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*/
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video: File;
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};
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export type KlingVideoV1ProImageToVideoInput = {
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/**
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*
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@ -14637,6 +14794,74 @@ export type LoraOutput = {
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*/
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debug_per_pass_latents?: File;
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};
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export type LtxVideoImageToVideoInput = {
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/**
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* The prompt to generate the video from.
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*/
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prompt: string;
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/**
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* The negative prompt to generate the video from. Default value: `"low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly"`
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*/
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negative_prompt?: string;
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/**
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* The seed to use for random number generation.
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*/
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seed?: number;
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/**
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* The number of inference steps to take. Default value: `30`
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*/
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num_inference_steps?: number;
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/**
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* The guidance scale to use. Default value: `3`
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*/
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guidance_scale?: number;
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/**
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* The URL of the image to generate the video from.
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*/
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image_url: string | Blob | File;
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};
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export type LtxVideoImageToVideoOutput = {
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/**
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* The generated video.
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*/
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video: File;
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/**
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* The seed used for random number generation.
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*/
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seed: number;
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};
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export type LtxVideoInput = {
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/**
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* The prompt to generate the video from.
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*/
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prompt: string;
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/**
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* The negative prompt to generate the video from. Default value: `"low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly"`
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*/
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negative_prompt?: string;
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/**
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* The seed to use for random number generation.
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*/
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seed?: number;
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/**
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* The number of inference steps to take. Default value: `30`
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*/
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num_inference_steps?: number;
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/**
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* The guidance scale to use. Default value: `3`
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*/
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guidance_scale?: number;
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};
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export type LtxVideoOutput = {
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/**
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* The generated video.
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*/
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video: File;
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/**
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* The seed used for random number generation.
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*/
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seed: number;
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};
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export type LumaDreamMachineImageToVideoInput = {
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/**
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*
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@ -18877,6 +19102,28 @@ export type TextToImageTurboInput = {
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*/
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expand_prompt?: boolean;
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};
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export type TextToVideoInput = {
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/**
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* The prompt to generate the video from.
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*/
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prompt: string;
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/**
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* The negative prompt to generate the video from. Default value: `"low quality, worst quality, deformed, distorted, disfigured, motion smear, motion artifacts, fused fingers, bad anatomy, weird hand, ugly"`
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*/
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negative_prompt?: string;
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/**
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* The seed to use for random number generation.
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*/
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seed?: number;
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/**
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* The number of inference steps to take. Default value: `30`
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*/
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num_inference_steps?: number;
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/**
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* The guidance scale to use. Default value: `3`
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*/
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guidance_scale?: number;
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};
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export type TimestepsInput = {
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/**
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* The method to use for the timesteps. If set to 'array', the timesteps will be set based
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@ -19494,6 +19741,10 @@ export type EndpointTypeMap = {
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input: FluxLoraFastTrainingInput;
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output: FluxLoraFastTrainingOutput;
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};
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"fal-ai/flux-lora-portrait-trainer": {
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input: FluxLoraPortraitTrainerInput;
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output: FluxLoraPortraitTrainerOutput;
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};
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"fal-ai/recraft-v3": {
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input: RecraftV3Input;
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output: RecraftV3Output;
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@ -19518,6 +19769,10 @@ export type EndpointTypeMap = {
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input: FluxLoraInput;
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output: FluxLoraOutput;
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};
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"fal-ai/flux-lora/inpainting": {
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input: FluxLoraInpaintingInput;
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output: FluxLoraInpaintingOutput;
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};
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"fal-ai/flux/schnell": {
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input: FluxSchnellInput;
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output: FluxSchnellOutput;
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@ -19590,9 +19845,9 @@ export type EndpointTypeMap = {
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input: FluxRealismInput;
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output: FluxRealismOutput;
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};
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"fal-ai/flux-lora/inpainting": {
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input: FluxLoraInpaintingInput;
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output: FluxLoraInpaintingOutput;
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"fal-ai/flux-lora-fill": {
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input: FluxLoraFillInput;
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output: FluxLoraFillOutput;
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};
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"fal-ai/flux-lora/image-to-image": {
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input: FluxLoraImageToImageInput;
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@ -19694,6 +19949,14 @@ export type EndpointTypeMap = {
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input: KlingVideoV1ProImageToVideoInput;
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output: KlingVideoV1ProImageToVideoOutput;
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};
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"fal-ai/kling-video/v1.5/pro/image-to-video": {
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input: KlingVideoV15ProImageToVideoInput;
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output: KlingVideoV15ProImageToVideoOutput;
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};
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"fal-ai/kling-video/v1.5/pro/text-to-video": {
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input: KlingVideoV15ProTextToVideoInput;
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output: KlingVideoV15ProTextToVideoOutput;
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};
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"fal-ai/cogvideox-5b": {
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input: Cogvideox5bInput;
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output: Cogvideox5bOutput;
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@ -19706,6 +19969,14 @@ export type EndpointTypeMap = {
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input: Cogvideox5bImageToVideoInput;
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output: Cogvideox5bImageToVideoOutput;
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};
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"fal-ai/ltx-video": {
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input: LtxVideoInput;
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output: LtxVideoOutput;
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};
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"fal-ai/ltx-video/image-to-video": {
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input: LtxVideoImageToVideoInput;
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output: LtxVideoImageToVideoOutput;
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};
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"fal-ai/stable-video": {
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input: StableVideoInput;
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output: StableVideoOutput;
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