chore(api-nodes): remove non-used; extract model to separate files (#11927)

* chore(api-nodes): remove non-used; extract model to separate files

* chore(api-nodes): remove non-needed prefix in filenames
This commit is contained in:
Alexander Piskun
2026-01-18 04:52:45 +02:00
committed by GitHub
parent 190c4416cc
commit ac26065e61
40 changed files with 825 additions and 641 deletions

View File

@@ -0,0 +1,152 @@
from enum import Enum
from typing import Optional, Dict, Any
from pydantic import BaseModel, Field, StrictBytes
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(
75, 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(
10, 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(
0, 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(
36, description='Number of cooldown steps (calculated based on num_frames)'
)
guidance_scale: Optional[float] = Field(
15, 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(
24, 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'
)