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openapi.yaml
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# !!Auto-generated by 'gen_openapi.py'. DO NOT EDIT!!
openapi: 3.1.0
info:
title: Livepeer AI Runner
description: An application to run AI pipelines
version: 0.0.0
servers:
- url: https://dream-gateway.livepeer.cloud
description: Livepeer Cloud Community Gateway
- url: https://livepeer.studio/api/beta/generate
description: Livepeer Studio Gateway
paths:
/text-to-image:
post:
tags:
- generate
summary: Text To Image
description: Generate images from text prompts.
operationId: genTextToImage
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/TextToImageParams'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/ImageResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: textToImage
/image-to-image:
post:
tags:
- generate
summary: Image To Image
description: Apply image transformations to a provided image.
operationId: genImageToImage
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genImageToImage'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/ImageResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: imageToImage
/image-to-video:
post:
tags:
- generate
summary: Image To Video
description: Generate a video from a provided image.
operationId: genImageToVideo
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genImageToVideo'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/VideoResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: imageToVideo
/upscale:
post:
tags:
- generate
summary: Upscale
description: Upscale an image by increasing its resolution.
operationId: genUpscale
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genUpscale'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/ImageResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: upscale
/audio-to-text:
post:
tags:
- generate
summary: Audio To Text
description: Transcribe audio files to text.
operationId: genAudioToText
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genAudioToText'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/TextResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'413':
description: Request Entity Too Large
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'415':
description: Unsupported Media Type
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: audioToText
/segment-anything-2:
post:
tags:
- generate
summary: Segment Anything 2
description: Segment objects in an image.
operationId: genSegmentAnything2
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genSegmentAnything2'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/MasksResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: segmentAnything2
/llm:
post:
tags:
- generate
summary: LLM
description: Generate text using a language model.
operationId: genLLM
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/LLMRequest'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/LLMResponse'
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: llm
/image-to-text:
post:
tags:
- generate
summary: Image To Text
description: Transform image files to text.
operationId: genImageToText
requestBody:
content:
multipart/form-data:
schema:
$ref: '#/components/schemas/Body_genImageToText'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/ImageToTextResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'413':
description: Request Entity Too Large
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: imageToText
/live-video-to-video:
post:
tags:
- generate
summary: Live Video To Video
description: Apply transformations to a live video streamed to the returned
endpoints.
operationId: genLiveVideoToVideo
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/LiveVideoToVideoParams'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/LiveVideoToVideoResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: liveVideoToVideo
/text-to-speech:
post:
tags:
- generate
summary: Text To Speech
description: Generate a text-to-speech audio file based on the provided text
input and speaker description.
operationId: genTextToSpeech
requestBody:
content:
application/json:
schema:
$ref: '#/components/schemas/TextToSpeechParams'
required: true
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/AudioResponse'
x-speakeasy-name-override: data
'400':
description: Bad Request
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'401':
description: Unauthorized
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'500':
description: Internal Server Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPError'
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- HTTPBearer: []
x-speakeasy-name-override: textToSpeech
/health:
get:
summary: Health
operationId: health
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/HealthCheck'
/hardware/info:
get:
summary: Hardware Info
operationId: hardware_info
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/HardwareInformation'
/hardware/stats:
get:
summary: Hardware Stats
operationId: hardware_stats
responses:
'200':
description: Successful Response
content:
application/json:
schema:
$ref: '#/components/schemas/HardwareStats'
components:
schemas:
APIError:
properties:
msg:
type: string
title: Msg
description: The error message.
type: object
required:
- msg
title: APIError
description: API error response model.
AudioResponse:
properties:
audio:
allOf:
- $ref: '#/components/schemas/MediaURL'
description: The generated audio.
type: object
required:
- audio
title: AudioResponse
description: Response model for audio generation.
Body_genAudioToText:
properties:
audio:
type: string
format: binary
title: Audio
description: Uploaded audio file to be transcribed.
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for transcription.
default: ''
return_timestamps:
type: string
title: Return Timestamps
description: 'Return timestamps for the transcribed text. Supported values:
''sentence'', ''word'', or a string boolean (''true'' or ''false''). Default
is ''true'' (''sentence''). ''false'' means no timestamps. ''word'' means
word-based timestamps.'
default: 'true'
metadata:
type: string
title: Metadata
description: Additional job information to be passed to the pipeline.
default: '{}'
type: object
required:
- audio
title: Body_genAudioToText
Body_genImageToImage:
properties:
prompt:
type: string
title: Prompt
description: Text prompt(s) to guide image generation.
image:
type: string
format: binary
title: Image
description: Uploaded image to modify with the pipeline.
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for image generation.
default: ''
loras:
type: string
title: Loras
description: 'A LoRA (Low-Rank Adaptation) model and its corresponding weight
for image generation. Example: { "latent-consistency/lcm-lora-sdxl": 1.0,
"nerijs/pixel-art-xl": 1.2}.'
default: ''
strength:
type: number
title: Strength
description: Degree of transformation applied to the reference image (0
to 1).
default: 0.8
guidance_scale:
type: number
title: Guidance Scale
description: Encourages model to generate images closely linked to the text
prompt (higher values may reduce image quality).
default: 7.5
image_guidance_scale:
type: number
title: Image Guidance Scale
description: Degree to which the generated image is pushed towards the initial
image.
default: 1.5
negative_prompt:
type: string
title: Negative Prompt
description: Text prompt(s) to guide what to exclude from image generation.
Ignored if guidance_scale < 1.
default: ''
safety_check:
type: boolean
title: Safety Check
description: Perform a safety check to estimate if generated images could
be offensive or harmful.
default: true
seed:
type: integer
title: Seed
description: Seed for random number generation.
num_inference_steps:
type: integer
title: Num Inference Steps
description: Number of denoising steps. More steps usually lead to higher
quality images but slower inference. Modulated by strength.
default: 100
num_images_per_prompt:
type: integer
title: Num Images Per Prompt
description: Number of images to generate per prompt.
default: 1
type: object
required:
- prompt
- image
title: Body_genImageToImage
Body_genImageToText:
properties:
image:
type: string
format: binary
title: Image
description: Uploaded image to transform with the pipeline.
prompt:
type: string
title: Prompt
description: Text prompt(s) to guide transformation.
default: ''
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for transformation.
default: ''
type: object
required:
- image
title: Body_genImageToText
Body_genImageToVideo:
properties:
image:
type: string
format: binary
title: Image
description: Uploaded image to generate a video from.
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for video generation.
default: ''
height:
type: integer
title: Height
description: The height in pixels of the generated video.
default: 576
width:
type: integer
title: Width
description: The width in pixels of the generated video.
default: 1024
fps:
type: integer
title: Fps
description: The frames per second of the generated video.
default: 6
motion_bucket_id:
type: integer
title: Motion Bucket Id
description: Used for conditioning the amount of motion for the generation.
The higher the number the more motion will be in the video.
default: 127
noise_aug_strength:
type: number
title: Noise Aug Strength
description: Amount of noise added to the conditioning image. Higher values
reduce resemblance to the conditioning image and increase motion.
default: 0.02
safety_check:
type: boolean
title: Safety Check
description: Perform a safety check to estimate if generated images could
be offensive or harmful.
default: true
seed:
type: integer
title: Seed
description: Seed for random number generation.
num_inference_steps:
type: integer
title: Num Inference Steps
description: Number of denoising steps. More steps usually lead to higher
quality images but slower inference. Modulated by strength.
default: 25
type: object
required:
- image
title: Body_genImageToVideo
Body_genSegmentAnything2:
properties:
image:
type: string
format: binary
title: Image
description: Image to segment.
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for image generation.
default: ''
point_coords:
type: string
title: Point Coords
description: Nx2 array of point prompts to the model, where each point is
in (X,Y) in pixels.
point_labels:
type: string
title: Point Labels
description: Labels for the point prompts, where 1 indicates a foreground
point and 0 indicates a background point.
box:
type: string
title: Box
description: A length 4 array given as a box prompt to the model, in XYXY
format.
mask_input:
type: string
title: Mask Input
description: A low-resolution mask input to the model, typically from a
previous prediction iteration, with the form 1xHxW (H=W=256 for SAM).
multimask_output:
type: boolean
title: Multimask Output
description: If true, the model will return three masks for ambiguous input
prompts, often producing better masks than a single prediction.
default: true
return_logits:
type: boolean
title: Return Logits
description: If true, returns un-thresholded mask logits instead of a binary
mask.
default: true
normalize_coords:
type: boolean
title: Normalize Coords
description: If true, the point coordinates will be normalized to the range
[0,1], with point_coords expected to be with respect to image dimensions.
default: true
type: object
required:
- image
title: Body_genSegmentAnything2
Body_genUpscale:
properties:
prompt:
type: string
title: Prompt
description: Text prompt(s) to guide upscaled image generation.
image:
type: string
format: binary
title: Image
description: Uploaded image to modify with the pipeline.
model_id:
type: string
title: Model Id
description: Hugging Face model ID used for upscaled image generation.
default: ''
safety_check:
type: boolean
title: Safety Check
description: Perform a safety check to estimate if generated images could
be offensive or harmful.
default: true
seed:
type: integer
title: Seed
description: Seed for random number generation.
num_inference_steps:
type: integer
title: Num Inference Steps
description: Number of denoising steps. More steps usually lead to higher
quality images but slower inference. Modulated by strength.
default: 75
type: object
required:
- prompt
- image
title: Body_genUpscale
Chunk:
properties:
timestamp:
items: {}
type: array
title: Timestamp
description: The timestamp of the chunk.
text:
type: string
title: Text
description: The text of the chunk.
type: object
required:
- timestamp
- text
title: Chunk
description: A chunk of text with a timestamp.
GPUComputeInfo:
properties:
id:
type: string
title: Id
name:
type: string
title: Name
memory_total:
type: integer
title: Memory Total
memory_free:
type: integer
title: Memory Free
major:
type: integer
title: Major
minor:
type: integer
title: Minor
type: object
required:
- id
- name
- memory_total
- memory_free
- major
- minor
title: GPUComputeInfo
description: Model for detailed GPU compute information.
GPUUtilizationInfo:
properties:
id:
type: string
title: Id
name:
type: string
title: Name
memory_total:
type: integer
title: Memory Total
memory_free:
type: integer
title: Memory Free
utilization_compute:
type: integer
title: Utilization Compute
utilization_memory:
type: integer
title: Utilization Memory
type: object
required:
- id
- name
- memory_total
- memory_free
- utilization_compute
- utilization_memory
title: GPUUtilizationInfo
description: Model for GPU utilization statistics.
HTTPError:
properties:
detail:
allOf:
- $ref: '#/components/schemas/APIError'
description: Detailed error information.
type: object
required:
- detail
title: HTTPError
description: HTTP error response model.
HTTPValidationError:
properties:
detail:
items:
$ref: '#/components/schemas/ValidationError'
type: array
title: Detail
type: object
title: HTTPValidationError
HardwareInformation:
properties:
pipeline:
type: string
title: Pipeline
model_id:
type: string
title: Model Id
gpu_info:
additionalProperties:
$ref: '#/components/schemas/GPUComputeInfo'
type: object
title: Gpu Info
type: object
required:
- pipeline
- model_id
- gpu_info
title: HardwareInformation
description: Response model for GPU information.
HardwareStats:
properties:
pipeline:
type: string
title: Pipeline
model_id:
type: string
title: Model Id
gpu_stats:
additionalProperties:
$ref: '#/components/schemas/GPUUtilizationInfo'
type: object
title: Gpu Stats
type: object
required:
- pipeline
- model_id
- gpu_stats
title: HardwareStats
description: Response model for real-time GPU statistics.
HealthCheck:
properties:
status:
type: string
enum:
- OK
- ERROR
- IDLE
title: Status
description: The health status of the pipeline
type: object
required:
- status
title: HealthCheck
ImageResponse:
properties:
images:
items:
$ref: '#/components/schemas/Media'
type: array
title: Images
description: The generated images.