Class: Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperiments

Inherits:
Object
  • Object
show all
Includes:
Core::Hashable, Core::JsonObjectSupport
Defined in:
lib/google/apis/aiplatform_v1/classes.rb,
lib/google/apis/aiplatform_v1/representations.rb,
lib/google/apis/aiplatform_v1/representations.rb

Overview

Experimental parameters for video generation.

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(**args) ⇒ CloudAiLargeModelsVisionGenerateVideoExperiments

Returns a new instance of CloudAiLargeModelsVisionGenerateVideoExperiments.



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 145

def initialize(**args)
   update!(**args)
end

Instance Attribute Details

#anchor_last_frame ⇒ Boolean Also known as: anchor_last_frame?

Optional. If true, anchors the last frame in video generation by generating a custom border mask. Corresponds to the JSON property anchorLastFrame

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 33

def anchor_last_frame
  @anchor_last_frame
end

#cfg_scale ⇒ Float

CFG scale for video-transform, perf-generation, a2v, video-textures models. Corresponds to the JSON property cfgScale

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 39

def cfg_scale
  @cfg_scale
end

#codec ⇒ String

Optional. Video codec to use for output. Corresponds to the JSON property codec

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 44

def codec
  @codec
end

#color_alignment ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperimentsColorAlignmentConfig

Configuration for color alignment. Corresponds to the JSON property colorAlignment

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 49

def color_alignment
  @color_alignment
end

#conditioning_frames ⇒ Array<Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperimentsConditioningFrame>

Conditioning frames for veo experimental models ONLY, not to be confused with keyframes (ID:31) in GenerateVideoRequest. Corresponds to the JSON property conditioningFrames

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 55

def conditioning_frames
  @conditioning_frames
end

#custom_parameters ⇒ Hash<String,Object>

Generic key-value pairs for experimental parameters. This allows adding new parameters without changing the dataplane binary. Corresponds to the JSON property customParameters

Returns:

  • (Hash<String,Object>) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 61

def custom_parameters
  @custom_parameters
end

#exr_color_space_override ⇒ String

Optional. Colorspace to be used for all EXR inputs. Corresponds to the JSON property exrColorSpaceOverride

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 66

def exr_color_space_override
  @exr_color_space_override
end

#human_pose ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionHumanPose

Human pose parameters for Pose Control Corresponds to the JSON property humanPose

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 71

def human_pose
  @human_pose
end

#model_name ⇒ String

Model names, as defined in: xyz Corresponds to the JSON property modelName

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 76

def model_name
  @model_name
end

#num_diffusion_steps ⇒ Fixnum

Number of diffusion steps Corresponds to the JSON property numDiffusionSteps

Returns:

  • (Fixnum) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 81

def num_diffusion_steps
  @num_diffusion_steps
end

#omni_rewriter ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperimentsOmniRewriterConfig

Configuration for Omni Rewriter. Corresponds to the JSON property omniRewriter

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 86

def omni_rewriter
  @omni_rewriter
end

#original_request_json ⇒ String

The original REST API request JSON sent by the user, in the instances/ parameters format. Preserved for saving alongside output artifacts so users can reproduce their requests. This field is populated by the API handler and is not user-settable. Corresponds to the JSON property originalRequestJson

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 94

def original_request_json
  @original_request_json
end

#prompt_inputs ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionPromptInputs

"Direct" prompting for Experimental Video Generation. These will be sent directly to the LDM without being rewritten. Corresponds to the JSON property promptInputs

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 100

def prompt_inputs
  @prompt_inputs
end

#request_origin_tag ⇒ String

Optional tag for tracking the source of this request. Allowed values: "colab", "comfyui", "curl", "flowresearch", "vertexstudio". Unrecognized tags are recorded as "unknown" in metrics. Tags do not affect video generation behavior. Up to 16 characters, ASCII alphanumeric, hyphens, and underscores only. Corresponds to the JSON property requestOriginTag

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 108

def request_origin_tag
  @request_origin_tag
end

#scheduling_config ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperimentsVeSchedulingConfig

Scheduling configuration for Veo Experimental. Corresponds to the JSON property schedulingConfig

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 113

def scheduling_config
  @scheduling_config
end

#seamless ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionSeamless

Parameters for seamless (edge-continuous) video generation, enabling temporal looping and/or spatial tessellation. Corresponds to the JSON property seamless

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 119

def seamless
  @seamless
end

#spatial_alignment ⇒ Google::Apis::AiplatformV1::CloudAiLargeModelsVisionGenerateVideoExperimentsSpatialAlignmentConfig

Configuration for spatial alignment. Corresponds to the JSON property spatialAlignment

Returns:



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 124

def spatial_alignment
  @spatial_alignment
end

#truncate_input_video ⇒ Boolean Also known as: truncate_input_video?

If true (default), truncate input videos that exceed the model's maximum frame count by applying a frame_selection_config to video_file inputs. Set to false to preserve the existing fail-fast behavior. Corresponds to the JSON property truncateInputVideo

Returns:

  • (Boolean) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 131

def truncate_input_video
  @truncate_input_video
end

#video_transform_mask_gcs_uri ⇒ String

GCS URI of the grayscale video mask for Differential Diffusion. Maps to sdedit_video_tmax_scale_map Corresponds to the JSON property videoTransformMaskGcsUri

Returns:

  • (String) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 138

def video_transform_mask_gcs_uri
  @video_transform_mask_gcs_uri
end

#video_transform_strength ⇒ Float

SDEdit: Scalar noise level (0.0 to 1.0) Maps to sdedit_tmax Corresponds to the JSON property videoTransformStrength

Returns:

  • (Float) 


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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 143

def video_transform_strength
  @video_transform_strength
end

Instance Method Details

#update!(**args) ⇒ Object

Update properties of this object



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# File 'lib/google/apis/aiplatform_v1/classes.rb', line 150

def update!(**args)
  @anchor_last_frame = args[:anchor_last_frame] if args.key?(:anchor_last_frame)
  @cfg_scale = args[:cfg_scale] if args.key?(:cfg_scale)
  @codec = args[:codec] if args.key?(:codec)
  @color_alignment = args[:color_alignment] if args.key?(:color_alignment)
  @conditioning_frames = args[:conditioning_frames] if args.key?(:conditioning_frames)
  @custom_parameters = args[:custom_parameters] if args.key?(:custom_parameters)
  @exr_color_space_override = args[:exr_color_space_override] if args.key?(:exr_color_space_override)
  @human_pose = args[:human_pose] if args.key?(:human_pose)
  @model_name = args[:model_name] if args.key?(:model_name)
  @num_diffusion_steps = args[:num_diffusion_steps] if args.key?(:num_diffusion_steps)
  @omni_rewriter = args[:omni_rewriter] if args.key?(:omni_rewriter)
  @original_request_json = args[:original_request_json] if args.key?(:original_request_json)
  @prompt_inputs = args[:prompt_inputs] if args.key?(:prompt_inputs)
  @request_origin_tag = args[:request_origin_tag] if args.key?(:request_origin_tag)
  @scheduling_config = args[:scheduling_config] if args.key?(:scheduling_config)
  @seamless = args[:seamless] if args.key?(:seamless)
  @spatial_alignment = args[:spatial_alignment] if args.key?(:spatial_alignment)
  @truncate_input_video = args[:truncate_input_video] if args.key?(:truncate_input_video)
  @video_transform_mask_gcs_uri = args[:video_transform_mask_gcs_uri] if args.key?(:video_transform_mask_gcs_uri)
  @video_transform_strength = args[:video_transform_strength] if args.key?(:video_transform_strength)
end