| | from enum import Enum
|
| | from PIL import Image
|
| | from typing import Any, Optional, Union
|
| |
|
| | from constants import LCM_DEFAULT_MODEL, LCM_DEFAULT_MODEL_OPENVINO
|
| | from paths import FastStableDiffusionPaths
|
| | from pydantic import BaseModel
|
| |
|
| |
|
| | class LCMLora(BaseModel):
|
| | base_model_id: str = "Lykon/dreamshaper-8"
|
| | lcm_lora_id: str = "latent-consistency/lcm-lora-sdv1-5"
|
| |
|
| |
|
| | class DiffusionTask(str, Enum):
|
| | """Diffusion task types"""
|
| |
|
| | text_to_image = "text_to_image"
|
| | image_to_image = "image_to_image"
|
| |
|
| |
|
| | class Lora(BaseModel):
|
| | models_dir: str = FastStableDiffusionPaths.get_lora_models_path()
|
| | path: Optional[Any] = None
|
| | weight: Optional[float] = 0.5
|
| | fuse: bool = True
|
| | enabled: bool = False
|
| |
|
| |
|
| | class ControlNetSetting(BaseModel):
|
| | adapter_path: Optional[str] = None
|
| | conditioning_scale: float = 0.5
|
| | enabled: bool = False
|
| | _control_image: Image = None
|
| |
|
| |
|
| | class GGUFModel(BaseModel):
|
| | gguf_models: str = FastStableDiffusionPaths.get_gguf_models_path()
|
| | diffusion_path: Optional[str] = None
|
| | clip_path: Optional[str] = None
|
| | t5xxl_path: Optional[str] = None
|
| | vae_path: Optional[str] = None
|
| |
|
| |
|
| | class LCMDiffusionSetting(BaseModel):
|
| | lcm_model_id: str = LCM_DEFAULT_MODEL
|
| | openvino_lcm_model_id: str = LCM_DEFAULT_MODEL_OPENVINO
|
| | use_offline_model: bool = False
|
| | use_lcm_lora: bool = False
|
| | lcm_lora: Optional[LCMLora] = LCMLora()
|
| | use_tiny_auto_encoder: bool = False
|
| | use_openvino: bool = False
|
| | prompt: str = ""
|
| | negative_prompt: str = ""
|
| | init_image: Any = None
|
| | strength: Optional[float] = 0.6
|
| | image_height: Optional[int] = 512
|
| | image_width: Optional[int] = 512
|
| | inference_steps: Optional[int] = 1
|
| | guidance_scale: Optional[float] = 1
|
| | clip_skip: Optional[int] = 1
|
| | token_merging: Optional[float] = 0
|
| | number_of_images: Optional[int] = 1
|
| | seed: Optional[int] = 123123
|
| | use_seed: bool = False
|
| | use_safety_checker: bool = False
|
| | diffusion_task: str = DiffusionTask.text_to_image.value
|
| | lora: Optional[Lora] = Lora()
|
| | controlnet: Optional[Union[ControlNetSetting, list[ControlNetSetting]]] = None
|
| | dirs: dict = {
|
| | "controlnet": FastStableDiffusionPaths.get_controlnet_models_path(),
|
| | "lora": FastStableDiffusionPaths.get_lora_models_path(),
|
| | }
|
| | rebuild_pipeline: bool = False
|
| | use_gguf_model: bool = False
|
| | gguf_model: Optional[GGUFModel] = GGUFModel()
|
| |
|
