import os
import time
from typing import Union
import threading
import numpy as np
from PIL import Image
from diffusers import StableDiffusionPipeline, StableDiffusionXLPipeline
from modules.shared import log, opts, listdir
from modules import errors
from modules.control.units.lite_model import ControlNetLLLite
what = 'ControlLLLite'
debug = log.trace if os.environ.get('SD_CONTROL_DEBUG', None) is not None else lambda *args, **kwargs: None
debug('Trace: CONTROL')
predefined_sd15 = {
}
predefined_sdxl = {
'Canny XL': 'kohya-ss/controlnet-lllite/controllllite_v01032064e_sdxl_canny',
'Canny anime XL': 'kohya-ss/controlnet-lllite/controllllite_v01032064e_sdxl_canny_anime',
'Depth anime XL': 'kohya-ss/controlnet-lllite/controllllite_v01008016e_sdxl_depth_anime',
'Blur anime XL': 'kohya-ss/controlnet-lllite/controllllite_v01016032e_sdxl_blur_anime_beta',
'Pose anime XL': 'kohya-ss/controlnet-lllite/controllllite_v01032064e_sdxl_pose_anime',
'Replicate anime XL': 'kohya-ss/controlnet-lllite/controllllite_v01032064e_sdxl_replicate_anime_v2',
}
models = {}
all_models = {}
all_models.update(predefined_sd15)
all_models.update(predefined_sdxl)
cache_dir = 'models/control/lite'
load_lock = threading.Lock()
def find_models():
path = os.path.join(opts.control_dir, 'lite')
files = listdir(path)
files = [f for f in files if f.endswith('.safetensors')]
downloaded_models = {}
for f in files:
basename = os.path.splitext(os.path.relpath(f, path))[0]
downloaded_models[basename] = os.path.join(path, f)
all_models.update(downloaded_models)
return downloaded_models
def list_models(refresh=False):
import modules.shared
global models
if not refresh and len(models) > 0:
return models
models = {}
if modules.shared.sd_model_type == 'none':
models = ['None']
elif modules.shared.sd_model_type == 'sdxl':
models = ['None'] + sorted(predefined_sdxl) + sorted(find_models())
elif modules.shared.sd_model_type == 'sd':
models = ['None'] + sorted(predefined_sd15) + sorted(find_models())
else:
log.warning(f'Control {what} model list failed: unknown model type')
models = ['None'] + sorted(predefined_sd15) + sorted(predefined_sdxl) + sorted(find_models())
debug(f'Control list {what}: path={cache_dir} models={models}')
return models
class ControlLLLite():
def __init__(self, model_id: str | None = None, device = None, dtype = None, load_config = None):
self.model: ControlNetLLLite = None
self.model_id: str = model_id
self.device = device
self.dtype = dtype
self.load_config = { 'cache_dir': cache_dir }
if load_config is not None:
self.load_config.update(load_config)
if model_id is not None:
self.load()
def __str__(self):
return f' ControlLLLite(id={self.model_id} model={self.model.__class__.__name__})' if self.model_id and self.model else ''
def reset(self):
if self.model is not None:
debug(f'Control {what} model unloaded')
self.model = None
self.model_id = None
def load(self, model_id: str | None = None, force: bool = True) -> str:
with load_lock:
try:
t0 = time.time()
model_id = model_id or self.model_id
if model_id is None or model_id == 'None':
self.reset()
return ''
if model_id not in all_models:
log.error(f'Control {what} unknown model: id="{model_id}" available={list(all_models)}')
return ''
model_path = all_models[model_id]
if model_path == '':
return ''
if model_path is None:
log.error(f'Control {what} model load failed: id="{model_id}" error=unknown model id')
return ''
if model_id == self.model_id and not force:
return ''
log.debug(f'Control {what} model loading: id="{model_id}" path="{model_path}" {self.load_config}')
if model_path.endswith('.safetensors'):
self.model = ControlNetLLLite(model_path)
else:
import huggingface_hub as hf
offline_config = {}
if opts.offline_mode:
offline_config["local_files_only"] = True
os.environ['HF_HUB_OFFLINE'] = '1'
else:
os.environ.pop('HF_HUB_OFFLINE', None)
os.unsetenv('HF_HUB_OFFLINE')
folder, filename = os.path.split(model_path)
model_path = hf.hf_hub_download(repo_id=folder, filename=f'{filename}.safetensors', cache_dir=cache_dir, **offline_config)
self.model = ControlNetLLLite(model_path)
if self.device is not None:
self.model.to(self.device)
if self.dtype is not None:
self.model.to(self.dtype)
t1 = time.time()
self.model_id = model_id
log.debug(f'Control {what} model loaded: id="{model_id}" path="{model_path}" time={t1-t0:.2f}')
return f'{what} loaded model: {model_id}'
except Exception as e:
log.error(f'Control {what} model load failed: id="{model_id}" error={e}')
errors.display(e, f'Control {what} load')
return f'{what} failed to load model: {model_id}'
class ControlLLitePipeline():
def __init__(self, pipeline: Union[StableDiffusionXLPipeline, StableDiffusionPipeline]):
self.pipeline = pipeline
self.nets = []
def apply(self, controlnet: Union[ControlNetLLLite, list[ControlNetLLLite]], image, conditioning):
if image is None:
return
self.nets = [controlnet] if isinstance(controlnet, ControlNetLLLite) else controlnet
debug(f'Control {what} apply: models={len(self.nets)} image={image} conditioning={conditioning}')
weight = [conditioning] if isinstance(conditioning, float) else conditioning
images = [image] if isinstance(image, Image.Image) else image
images = [i.convert('RGB') for i in images]
for i, cn in enumerate(self.nets):
cn.apply(pipe=self.pipeline, cond=np.asarray(images[i % len(images)]), weight=weight[i % len(weight)])
def restore(self):
from modules.control.units.lite_model import clear_all_lllite
clear_all_lllite()
self.nets = []