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Allow the UI to send (and resolve) multiple model paths

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This commit is contained in:
cmdr2 2023-07-15 12:09:20 +05:30
parent c5a06eedbc
commit 959c1a196e
2 changed files with 17 additions and 10 deletions
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10
ui/easydiffusion/model_manager.py
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@ -2,6 +2,7 @@ import os
import shutil
from glob import glob
import traceback
from typing import Union
from easydiffusion import app
from easydiffusion.types import TaskData
@ -93,7 +94,14 @@ def unload_all(context: Context):
del context.model_load_errors[model_type]
def resolve_model_to_use(model_name: str = None, model_type: str = None, fail_if_not_found: bool = True):
def resolve_model_to_use(model_name: Union[str, list] = None, model_type: str = None, fail_if_not_found: bool = True):
model_names = model_name if isinstance(model_name, list) else [model_name]
model_paths = [resolve_model_to_use_single(m, model_type, fail_if_not_found) for m in model_names]
return model_paths[0] if len(model_paths) == 1 else model_paths
def resolve_model_to_use_single(model_name: str = None, model_type: str = None, fail_if_not_found: bool = True):
model_extensions = MODEL_EXTENSIONS.get(model_type, [])
default_models = DEFAULT_MODELS.get(model_type, [])
config = app.getConfig()

17
ui/easydiffusion/types.py
View File

@ -1,4 +1,4 @@
from typing import Any
from typing import Any, List, Union
from pydantic import BaseModel
@ -22,7 +22,7 @@ class GenerateImageRequest(BaseModel):
sampler_name: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
hypernetwork_strength: float = 0
lora_alpha: float = 0
lora_alpha: Union[float, List[float]] = 0
tiling: str = "none" # "none", "x", "y", "xy"
@ -32,15 +32,14 @@ class TaskData(BaseModel):
save_to_disk_path: str = None
vram_usage_level: str = "balanced" # or "low" or "medium"
use_face_correction: str = None # or "GFPGANv1.3"
use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B" or "latent_upscaler"
use_face_correction: Union[str, List[str]] = None # or "GFPGANv1.3"
use_upscale: Union[str, List[str]] = None
upscale_amount: int = 4 # or 2
latent_upscaler_steps: int = 10
use_stable_diffusion_model: str = "sd-v1-4"
# use_stable_diffusion_config: str = "v1-inference"
use_vae_model: str = None
use_hypernetwork_model: str = None
use_lora_model: str = None
use_stable_diffusion_model: Union[str, List[str]] = "sd-v1-4"
use_vae_model: Union[str, List[str]] = None
use_hypernetwork_model: Union[str, List[str]] = None
use_lora_model: Union[str, List[str]] = None
show_only_filtered_image: bool = False
block_nsfw: bool = False