Add Moonvalley nodes (#8832)

This commit is contained in:
Christian Byrne
2025-07-08 05:54:30 -07:00
committed by GitHub
parent b5e97db9ac
commit 9fd0cd7cf7
5 changed files with 837 additions and 2 deletions

View File

@@ -1,6 +1,6 @@
# generated by datamodel-codegen:
# filename: filtered-openapi.yaml
# timestamp: 2025-05-19T21:38:55+00:00
# timestamp: 2025-07-06T09:47:31+00:00
from __future__ import annotations
@@ -1355,6 +1355,158 @@ class ModelResponseProperties(BaseModel):
)
class Keyframes(BaseModel):
image_url: Optional[str] = None
class MoonvalleyPromptResponse(BaseModel):
error: Optional[Dict[str, Any]] = None
frame_conditioning: Optional[Dict[str, Any]] = None
id: Optional[str] = None
inference_params: Optional[Dict[str, Any]] = None
meta: Optional[Dict[str, Any]] = None
model_params: Optional[Dict[str, Any]] = None
output_url: Optional[str] = None
prompt_text: Optional[str] = None
status: Optional[str] = None
class MoonvalleyTextToVideoInferenceParams(BaseModel):
add_quality_guidance: Optional[bool] = Field(
True, description='Whether to add quality guidance'
)
caching_coefficient: Optional[float] = Field(
0.3, description='Caching coefficient for optimization'
)
caching_cooldown: Optional[int] = Field(
3, description='Number of caching cooldown steps'
)
caching_warmup: Optional[int] = Field(
3, description='Number of caching warmup steps'
)
clip_value: Optional[float] = Field(
3, description='CLIP value for generation control'
)
conditioning_frame_index: Optional[int] = Field(
0, description='Index of the conditioning frame'
)
cooldown_steps: Optional[int] = Field(
None, description='Number of cooldown steps (calculated based on num_frames)'
)
fps: Optional[int] = Field(
24, description='Frames per second of the generated video'
)
guidance_scale: Optional[float] = Field(
12.5, description='Guidance scale for generation control'
)
height: Optional[int] = Field(
1080, description='Height of the generated video in pixels'
)
negative_prompt: Optional[str] = Field(None, description='Negative prompt text')
num_frames: Optional[int] = Field(64, description='Number of frames to generate')
seed: Optional[int] = Field(
None, description='Random seed for generation (default: random)'
)
shift_value: Optional[float] = Field(
3, description='Shift value for generation control'
)
steps: Optional[int] = Field(80, description='Number of denoising steps')
use_guidance_schedule: Optional[bool] = Field(
True, description='Whether to use guidance scheduling'
)
use_negative_prompts: Optional[bool] = Field(
False, description='Whether to use negative prompts'
)
use_timestep_transform: Optional[bool] = Field(
True, description='Whether to use timestep transformation'
)
warmup_steps: Optional[int] = Field(
None, description='Number of warmup steps (calculated based on num_frames)'
)
width: Optional[int] = Field(
1920, description='Width of the generated video in pixels'
)
class MoonvalleyTextToVideoRequest(BaseModel):
image_url: Optional[str] = None
inference_params: Optional[MoonvalleyTextToVideoInferenceParams] = None
prompt_text: Optional[str] = None
webhook_url: Optional[str] = None
class MoonvalleyUploadFileRequest(BaseModel):
file: Optional[StrictBytes] = None
class MoonvalleyUploadFileResponse(BaseModel):
access_url: Optional[str] = None
class MoonvalleyVideoToVideoInferenceParams(BaseModel):
add_quality_guidance: Optional[bool] = Field(
True, description='Whether to add quality guidance'
)
caching_coefficient: Optional[float] = Field(
0.3, description='Caching coefficient for optimization'
)
caching_cooldown: Optional[int] = Field(
3, description='Number of caching cooldown steps'
)
caching_warmup: Optional[int] = Field(
3, description='Number of caching warmup steps'
)
clip_value: Optional[float] = Field(
3, description='CLIP value for generation control'
)
conditioning_frame_index: Optional[int] = Field(
0, description='Index of the conditioning frame'
)
cooldown_steps: Optional[int] = Field(
None, description='Number of cooldown steps (calculated based on num_frames)'
)
guidance_scale: Optional[float] = Field(
12.5, description='Guidance scale for generation control'
)
negative_prompt: Optional[str] = Field(None, description='Negative prompt text')
seed: Optional[int] = Field(
None, description='Random seed for generation (default: random)'
)
shift_value: Optional[float] = Field(
3, description='Shift value for generation control'
)
steps: Optional[int] = Field(80, description='Number of denoising steps')
use_guidance_schedule: Optional[bool] = Field(
True, description='Whether to use guidance scheduling'
)
use_negative_prompts: Optional[bool] = Field(
False, description='Whether to use negative prompts'
)
use_timestep_transform: Optional[bool] = Field(
True, description='Whether to use timestep transformation'
)
warmup_steps: Optional[int] = Field(
None, description='Number of warmup steps (calculated based on num_frames)'
)
class ControlType(str, Enum):
motion_control = 'motion_control'
pose_control = 'pose_control'
class MoonvalleyVideoToVideoRequest(BaseModel):
control_type: ControlType = Field(
..., description='Supported types for video control'
)
inference_params: Optional[MoonvalleyVideoToVideoInferenceParams] = None
prompt_text: str = Field(..., description='Describes the video to generate')
video_url: str = Field(..., description='Url to control video')
webhook_url: Optional[str] = Field(
None, description='Optional webhook URL for notifications'
)
class Moderation(str, Enum):
low = 'low'
auto = 'auto'
@@ -3107,6 +3259,23 @@ class LumaUpscaleVideoGenerationRequest(BaseModel):
resolution: Optional[LumaVideoModelOutputResolution] = None
class MoonvalleyImageToVideoRequest(MoonvalleyTextToVideoRequest):
keyframes: Optional[Dict[str, Keyframes]] = None
class MoonvalleyResizeVideoRequest(MoonvalleyVideoToVideoRequest):
frame_position: Optional[List[int]] = Field(None, max_length=2, min_length=2)
frame_resolution: Optional[List[int]] = Field(None, max_length=2, min_length=2)
scale: Optional[List[int]] = Field(None, max_length=2, min_length=2)
class MoonvalleyTextToImageRequest(BaseModel):
image_url: Optional[str] = None
inference_params: Optional[MoonvalleyTextToVideoInferenceParams] = None
prompt_text: Optional[str] = None
webhook_url: Optional[str] = None
class OutputContent(RootModel[Union[OutputTextContent, OutputAudioContent]]):
root: Union[OutputTextContent, OutputAudioContent]