mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-22 16:23:28 +01:00
Moved a lot of code into task_manager.py
This commit is contained in:
parent
e9f9670eb5
commit
7de699c7fa
288
ui/sd_internal/task_manager.py
Normal file
288
ui/sd_internal/task_manager.py
Normal file
@ -0,0 +1,288 @@
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import json
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import traceback
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TASK_TTL = 15 * 60 # Discard last session's task timeout
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import queue, threading, time
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from typing import Any, Generator, Hashable, Optional, Union
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from pydantic import BaseModel
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from sd_internal import Request, Response
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class SymbolClass(type): # Print nicely formatted Symbol names.
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def __repr__(self): return self.__qualname__
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def __str__(self): return self.__name__
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class Symbol(metaclass=SymbolClass): pass
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class ServerStates:
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class Init(Symbol): pass
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class LoadingModel(Symbol): pass
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class Online(Symbol): pass
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class Rendering(Symbol): pass
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class Unavailable(Symbol): pass
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class RenderTask(): # Task with output queue and completion lock.
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def __init__(self, req: Request):
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self.request: Request = req # Initial Request
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self.response: Any = None # Copy of the last reponse
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self.temp_images:[] = [None] * req.num_outputs * (1 if req.show_only_filtered_image else 2)
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self.error: Exception = None
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self.lock: threading.Lock = threading.Lock() # Locks at task start and unlocks when task is completed
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self.buffer_queue: queue.Queue = queue.Queue() # Queue of JSON string segments
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async def read_buffer_generator(self):
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try:
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while not self.buffer_queue.empty():
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res = self.buffer_queue.get(block=False)
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self.buffer_queue.task_done()
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yield res
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except queue.Empty as e: yield
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# defaults from https://huggingface.co/blog/stable_diffusion
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class ImageRequest(BaseModel):
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session_id: str = "session"
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prompt: str = ""
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negative_prompt: str = ""
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init_image: str = None # base64
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mask: str = None # base64
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num_outputs: int = 1
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num_inference_steps: int = 50
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guidance_scale: float = 7.5
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width: int = 512
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height: int = 512
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seed: int = 42
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prompt_strength: float = 0.8
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sampler: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
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# allow_nsfw: bool = False
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save_to_disk_path: str = None
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turbo: bool = True
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use_cpu: bool = False
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use_full_precision: bool = False
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use_face_correction: str = None # or "GFPGANv1.3"
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use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
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use_stable_diffusion_model: str = "sd-v1-4"
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show_only_filtered_image: bool = False
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output_format: str = "jpeg" # or "png"
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stream_progress_updates: bool = False
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stream_image_progress: bool = False
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# Temporary cache to allow to query tasks results for a short time after they are completed.
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class TaskCache():
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def __init__(self):
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self._base = dict()
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self._lock: threading.Lock = threading.Lock()
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def _get_ttl_time(self, ttl: int) -> int:
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return int(time.time()) + ttl
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def _is_expired(self, timestamp: int) -> bool:
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return int(time.time()) >= timestamp
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def clean(self) -> None:
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self._lock.acquire()
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try:
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for key in self._base:
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ttl, _ = self._base[key]
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if self._is_expired(ttl):
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del self._base[key]
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finally:
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self._lock.release()
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def clear(self) -> None:
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self._lock.acquire()
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try: self._base.clear()
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finally: self._lock.release()
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def delete(self, key: Hashable) -> bool:
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self._lock.acquire()
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try:
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if key not in self._base:
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return False
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del self._base[key]
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return True
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finally:
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self._lock.release()
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def keep(self, key: Hashable, ttl: int) -> bool:
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self._lock.acquire()
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try:
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if key in self._base:
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_, value = self._base.get(key)
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self._base[key] = (self._get_ttl_time(ttl), value)
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return True
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return False
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finally:
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self._lock.release()
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def put(self, key: Hashable, value: Any, ttl: int) -> bool:
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self._lock.acquire()
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try:
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self._base[key] = (
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self._get_ttl_time(ttl), value
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)
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except Exception:
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return False
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else:
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return True
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finally:
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self._lock.release()
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def tryGet(self, key: Hashable) -> Any:
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self._lock.acquire()
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try:
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ttl, value = self._base.get(key, (None, None))
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if ttl is not None and self._is_expired(ttl):
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self.delete(key)
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return None
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return value
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finally:
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self._lock.release()
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current_state = ServerStates.Init
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current_state_error:Exception = None
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current_model_path = None
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tasks_queue = queue.Queue()
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task_cache = TaskCache()
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default_model_to_load = None
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def preload_model(file_path=None):
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global current_state, current_state_error, current_model_path
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if file_path == None:
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file_path = default_model_to_load
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if file_path == current_model_path:
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return
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current_state = ServerStates.LoadingModel
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try:
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from . import runtime
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runtime.load_model_ckpt(ckpt_to_use=file_path)
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current_model_path = file_path
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current_state_error = None
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current_state = ServerStates.Online
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except Exception as e:
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current_model_path = None
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current_state_error = e
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current_state = ServerStates.Unavailable
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print(traceback.format_exc())
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def thread_render():
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global current_state, current_state_error, current_model_path
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from . import runtime
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current_state = ServerStates.Online
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preload_model()
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while True:
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task_cache.clean()
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if isinstance(current_state_error, SystemExit):
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current_state = ServerStates.Unavailable
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return
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task = None
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try:
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task = tasks_queue.get(timeout=1)
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except queue.Empty as e:
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if isinstance(current_state_error, SystemExit):
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current_state = ServerStates.Unavailable
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return
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else: continue
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#if current_model_path != task.request.use_stable_diffusion_model:
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# preload_model(task.request.use_stable_diffusion_model)
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if current_state_error:
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task.error = current_state_error
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continue
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print(f'Session {task.request.session_id} starting task {id(task)}')
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try:
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task.lock.acquire(blocking=False)
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res = runtime.mk_img(task.request)
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if current_model_path == task.request.use_stable_diffusion_model:
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current_state = ServerStates.Rendering
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else:
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current_state = ServerStates.LoadingModel
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except Exception as e:
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task.error = e
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task.lock.release()
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tasks_queue.task_done()
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print(traceback.format_exc())
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continue
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dataQueue = None
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if task.request.stream_progress_updates:
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dataQueue = task.buffer_queue
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for result in res:
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if current_state == ServerStates.LoadingModel:
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current_state = ServerStates.Rendering
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current_model_path = task.request.use_stable_diffusion_model
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if isinstance(current_state_error, SystemExit) or isinstance(current_state_error, StopAsyncIteration) or isinstance(task.error, StopAsyncIteration):
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runtime.stop_processing = True
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if isinstance(current_state_error, StopAsyncIteration):
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task.error = current_state_error
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current_state_error = None
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print(f'Session {task.request.session_id} sent cancel signal for task {id(task)}')
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if dataQueue:
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dataQueue.put(result)
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if isinstance(result, str):
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result = json.loads(result)
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task.response = result
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if 'output' in result:
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for out_obj in result['output']:
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if 'path' in out_obj:
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img_id = out_obj['path'][out_obj['path'].rindex('/') + 1:]
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task.temp_images[int(img_id)] = runtime.temp_images[out_obj['path'][11:]]
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elif 'data' in out_obj:
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task.temp_images[result['output'].index(out_obj)] = out_obj['data']
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task_cache.keep(task.request.session_id, TASK_TTL)
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# Task completed
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task.lock.release()
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tasks_queue.task_done()
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task_cache.keep(task.request.session_id, TASK_TTL)
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if isinstance(task.error, StopAsyncIteration):
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print(f'Session {task.request.session_id} task {id(task)} cancelled!')
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elif task.error is not None:
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print(f'Session {task.request.session_id} task {id(task)} failed!')
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else:
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print(f'Session {task.request.session_id} task {id(task)} completed.')
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current_state = ServerStates.Online
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render_thread = threading.Thread(target=thread_render)
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def start_render_thread():
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# Start Rendering Thread
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render_thread.daemon = True
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render_thread.start()
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def shutdown_event(): # Signal render thread to close on shutdown
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global current_state_error
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current_state_error = SystemExit('Application shutting down.')
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def render(req : ImageRequest):
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if not render_thread.is_alive(): # Render thread is dead
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raise ChildProcessError('Rendering thread has died.')
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# Alive, check if task in cache
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task = task_cache.tryGet(req.session_id)
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if task and not task.response and not task.error and not task.lock.locked():
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# Unstarted task pending, deny queueing more than one.
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raise ConnectionRefusedError(f'Session {req.session_id} has an already pending task.')
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#
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from . import runtime
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r = Request()
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r.session_id = req.session_id
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r.prompt = req.prompt
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r.negative_prompt = req.negative_prompt
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r.init_image = req.init_image
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r.mask = req.mask
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r.num_outputs = req.num_outputs
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r.num_inference_steps = req.num_inference_steps
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r.guidance_scale = req.guidance_scale
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r.width = req.width
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r.height = req.height
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r.seed = req.seed
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r.prompt_strength = req.prompt_strength
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r.sampler = req.sampler
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# r.allow_nsfw = req.allow_nsfw
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r.turbo = req.turbo
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r.use_cpu = req.use_cpu
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r.use_full_precision = req.use_full_precision
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r.save_to_disk_path = req.save_to_disk_path
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r.use_upscale: str = req.use_upscale
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r.use_face_correction = req.use_face_correction
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r.show_only_filtered_image = req.show_only_filtered_image
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r.output_format = req.output_format
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r.stream_progress_updates = True # the underlying implementation only supports streaming
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r.stream_image_progress = req.stream_image_progress
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if not req.stream_progress_updates:
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r.stream_image_progress = False
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new_task = RenderTask(r)
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task_cache.put(r.session_id, new_task, TASK_TTL)
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tasks_queue.put(new_task)
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return new_task
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332
ui/server.py
332
ui/server.py
@ -24,7 +24,7 @@ import logging
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import queue, threading, time
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from typing import Any, Generator, Hashable, Optional, Union
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from sd_internal import Request, Response
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from sd_internal import Request, Response, task_manager
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app = FastAPI()
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@ -37,214 +37,9 @@ ACCESS_LOG_SUPPRESS_PATH_PREFIXES = ['/ping', '/image', '/modifier-thumbnails']
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NOCACHE_HEADERS={"Cache-Control": "no-cache, no-store, must-revalidate", "Pragma": "no-cache", "Expires": "0"}
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app.mount('/media', StaticFiles(directory=os.path.join(SD_UI_DIR, 'media/')), name="media")
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class SymbolClass(type): # Print nicely formatted Symbol names.
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def __repr__(self): return self.__qualname__
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def __str__(self): return self.__name__
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class Symbol(metaclass=SymbolClass): pass
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class ServerStates:
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class Init(Symbol): pass
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class LoadingModel(Symbol): pass
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class Online(Symbol): pass
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class Rendering(Symbol): pass
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class Unavailable(Symbol): pass
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class RenderTask(): # Task with output queue and completion lock.
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def __init__(self, req: Request):
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self.request: Request = req # Initial Request
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self.response: Any = None # Copy of the last reponse
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self.temp_images:[] = [None] * req.num_outputs * (1 if req.show_only_filtered_image else 2)
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self.error: Exception = None
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self.lock: threading.Lock = threading.Lock() # Locks at task start and unlocks when task is completed
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self.buffer_queue: queue.Queue = queue.Queue() # Queue of JSON string segments
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current_state = ServerStates.Init
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current_state_error:Exception = None
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current_model_path = None
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tasks_queue = queue.Queue()
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# defaults from https://huggingface.co/blog/stable_diffusion
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class ImageRequest(BaseModel):
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session_id: str = "session"
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prompt: str = ""
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negative_prompt: str = ""
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init_image: str = None # base64
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mask: str = None # base64
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num_outputs: int = 1
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num_inference_steps: int = 50
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guidance_scale: float = 7.5
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width: int = 512
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height: int = 512
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seed: int = 42
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prompt_strength: float = 0.8
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sampler: str = None # "ddim", "plms", "heun", "euler", "euler_a", "dpm2", "dpm2_a", "lms"
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# allow_nsfw: bool = False
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save_to_disk_path: str = None
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turbo: bool = True
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use_cpu: bool = False
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use_full_precision: bool = False
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use_face_correction: str = None # or "GFPGANv1.3"
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use_upscale: str = None # or "RealESRGAN_x4plus" or "RealESRGAN_x4plus_anime_6B"
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use_stable_diffusion_model: str = "sd-v1-4"
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show_only_filtered_image: bool = False
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output_format: str = "jpeg" # or "png"
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stream_progress_updates: bool = False
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stream_image_progress: bool = False
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# Temporary cache to allow to query tasks results for a short time after they are completed.
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class TaskCache():
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def __init__(self):
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self._base = dict()
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def _get_ttl_time(self, ttl: int) -> int:
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return int(time.time()) + ttl
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def _is_expired(self, timestamp: int) -> bool:
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return int(time.time()) >= timestamp
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def clean(self) -> None:
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for key in self._base:
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ttl, _ = self._base[key]
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if self._is_expired(ttl):
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del self._base[key]
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def clear(self) -> None:
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self._base.clear()
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def delete(self, key: Hashable) -> bool:
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if key not in self._base:
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return False
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del self._base[key]
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return True
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def keep(self, key: Hashable, ttl: int) -> bool:
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if key in self._base:
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_, value = self._base.get(key)
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self._base[key] = (self._get_ttl_time(ttl), value)
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return True
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return False
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def put(self, key: Hashable, value: Any, ttl: int) -> bool:
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try:
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self._base[key] = (
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self._get_ttl_time(ttl), value
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)
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except Exception:
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return False
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return True
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def tryGet(self, key: Hashable) -> Any:
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ttl, value = self._base.get(key, (None, None))
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if ttl is not None and self._is_expired(ttl):
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self.delete(key)
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return None
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return value
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task_cache = TaskCache()
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class SetAppConfigRequest(BaseModel):
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update_branch: str = "main"
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@app.get('/')
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def read_root():
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return FileResponse(os.path.join(SD_UI_DIR, 'index.html'), headers=NOCACHE_HEADERS)
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def preload_model(file_path=None):
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global current_state, current_state_error, current_model_path
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if file_path == None:
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file_path = get_initial_model_to_load()
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if file_path == current_model_path:
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return
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current_state = ServerStates.LoadingModel
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try:
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from sd_internal import runtime
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runtime.load_model_ckpt(ckpt_to_use=file_path)
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current_model_path = file_path
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current_state_error = None
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current_state = ServerStates.Online
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except Exception as e:
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current_model_path = None
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current_state_error = e
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current_state = ServerStates.Unavailable
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print(traceback.format_exc())
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def thread_render():
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global current_state, current_state_error, current_model_path
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from sd_internal import runtime
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current_state = ServerStates.Online
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preload_model()
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while True:
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task_cache.clean()
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if isinstance(current_state_error, SystemExit):
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current_state = ServerStates.Unavailable
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return
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task = None
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try:
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task = tasks_queue.get(timeout=1)
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except queue.Empty as e:
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if isinstance(current_state_error, SystemExit):
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current_state = ServerStates.Unavailable
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return
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else: continue
|
||||
#if current_model_path != task.request.use_stable_diffusion_model:
|
||||
# preload_model(task.request.use_stable_diffusion_model)
|
||||
if current_state_error:
|
||||
task.error = current_state_error
|
||||
continue
|
||||
print(f'Session {task.request.session_id} starting task {id(task)}')
|
||||
try:
|
||||
task.lock.acquire(blocking=False)
|
||||
res = runtime.mk_img(task.request)
|
||||
if current_model_path == task.request.use_stable_diffusion_model:
|
||||
current_state = ServerStates.Rendering
|
||||
else:
|
||||
current_state = ServerStates.LoadingModel
|
||||
except Exception as e:
|
||||
task.error = e
|
||||
task.lock.release()
|
||||
tasks_queue.task_done()
|
||||
print(traceback.format_exc())
|
||||
continue
|
||||
dataQueue = None
|
||||
if task.request.stream_progress_updates:
|
||||
dataQueue = task.buffer_queue
|
||||
for result in res:
|
||||
if current_state == ServerStates.LoadingModel:
|
||||
current_state = ServerStates.Rendering
|
||||
current_model_path = task.request.use_stable_diffusion_model
|
||||
if isinstance(current_state_error, SystemExit) or isinstance(current_state_error, StopAsyncIteration) or isinstance(task.error, StopAsyncIteration):
|
||||
runtime.stop_processing = True
|
||||
if isinstance(current_state_error, StopAsyncIteration):
|
||||
task.error = current_state_error
|
||||
current_state_error = None
|
||||
print(f'Session {task.request.session_id} sent cancel signal for task {id(task)}')
|
||||
if dataQueue:
|
||||
dataQueue.put(result)
|
||||
if isinstance(result, str):
|
||||
result = json.loads(result)
|
||||
task.response = result
|
||||
if 'output' in result:
|
||||
for out_obj in result['output']:
|
||||
if 'path' in out_obj:
|
||||
img_id = out_obj['path'][out_obj['path'].rindex('/') + 1:]
|
||||
task.temp_images[int(img_id)] = runtime.temp_images[out_obj['path'][11:]]
|
||||
elif 'data' in out_obj:
|
||||
task.temp_images[result['output'].index(out_obj)] = out_obj['data']
|
||||
task_cache.keep(task.request.session_id, TASK_TTL)
|
||||
# Task completed
|
||||
task.lock.release()
|
||||
tasks_queue.task_done()
|
||||
task_cache.keep(task.request.session_id, TASK_TTL)
|
||||
if isinstance(task.error, StopAsyncIteration):
|
||||
print(f'Session {task.request.session_id} task {id(task)} cancelled!')
|
||||
elif task.error is not None:
|
||||
print(f'Session {task.request.session_id} task {id(task)} failed!')
|
||||
else:
|
||||
print(f'Session {task.request.session_id} task {id(task)} completed.')
|
||||
current_state = ServerStates.Online
|
||||
# Start Rendering Thread
|
||||
render_thread = threading.Thread(target=thread_render)
|
||||
render_thread.daemon = True
|
||||
render_thread.start()
|
||||
|
||||
@app.on_event("shutdown")
|
||||
def shutdown_event(): # Signal render thread to close on shutdown
|
||||
global current_state_error
|
||||
current_state_error = SystemExit('Application shutting down.')
|
||||
|
||||
# needs to support the legacy installations
|
||||
def get_initial_model_to_load():
|
||||
custom_weight_path = os.path.join(SD_DIR, 'custom-model.ckpt')
|
||||
@ -261,7 +56,6 @@ def get_initial_model_to_load():
|
||||
ckpt_to_use = model_path
|
||||
else:
|
||||
print('Could not find the configured custom model at:', model_path + '.ckpt', '. Using the default one:', ckpt_to_use + '.ckpt')
|
||||
|
||||
return ckpt_to_use
|
||||
|
||||
def resolve_model_to_use(model_name):
|
||||
@ -275,24 +69,24 @@ def resolve_model_to_use(model_name):
|
||||
model_path = os.path.join(MODELS_DIR, 'stable-diffusion', model_name)
|
||||
return model_path
|
||||
|
||||
def save_model_to_config(model_name):
|
||||
config = getConfig()
|
||||
if 'model' not in config:
|
||||
config['model'] = {}
|
||||
@app.on_event("shutdown")
|
||||
def shutdown_event(): # Signal render thread to close on shutdown
|
||||
task_manager.current_state_error = SystemExit('Application shutting down.')
|
||||
|
||||
config['model']['stable-diffusion'] = model_name
|
||||
setConfig(config)
|
||||
@app.get('/')
|
||||
def read_root():
|
||||
return FileResponse(os.path.join(SD_UI_DIR, 'index.html'), headers=NOCACHE_HEADERS)
|
||||
|
||||
@app.get('/ping') # Get server and optionally session status.
|
||||
def ping(session_id:str=None):
|
||||
if not render_thread.is_alive(): # Render thread is dead.
|
||||
if current_state_error: return HTTPException(status_code=500, detail=str(current_state_error))
|
||||
if not task_manager.render_thread.is_alive(): # Render thread is dead.
|
||||
if task_manager.current_state_error: return HTTPException(status_code=500, detail=str(current_state_error))
|
||||
return HTTPException(status_code=500, detail='Render thread is dead.')
|
||||
if current_state_error and not isinstance(current_state_error, StopAsyncIteration): return HTTPException(status_code=500, detail=str(current_state_error))
|
||||
if task_manager.current_state_error and not isinstance(task_manager.current_state_error, StopAsyncIteration): return HTTPException(status_code=500, detail=str(current_state_error))
|
||||
# Alive
|
||||
response = {'status': str(current_state)}
|
||||
response = {'status': str(task_manager.current_state)}
|
||||
if session_id:
|
||||
task = task_cache.tryGet(session_id)
|
||||
task = task_manager.task_cache.tryGet(session_id)
|
||||
if task:
|
||||
response['task'] = id(task)
|
||||
if task.lock.locked():
|
||||
@ -309,74 +103,38 @@ def ping(session_id:str=None):
|
||||
response['session'] = 'pending'
|
||||
return JSONResponse(response, headers=NOCACHE_HEADERS)
|
||||
|
||||
def save_model_to_config(model_name):
|
||||
config = getConfig()
|
||||
if 'model' not in config:
|
||||
config['model'] = {}
|
||||
|
||||
config['model']['stable-diffusion'] = model_name
|
||||
setConfig(config)
|
||||
|
||||
@app.post('/render')
|
||||
def render(req : ImageRequest):
|
||||
if not render_thread.is_alive(): # Render thread is dead
|
||||
return HTTPException(status_code=500, detail=f'Rendering thread has died.') # HTTP500 Internal Server Error
|
||||
# Alive, check if task in cache
|
||||
task = task_cache.tryGet(req.session_id)
|
||||
if task and not task.response and not task.error and not task.lock.locked(): # Unstarted task pending, deny queueing more than one.
|
||||
return HTTPException(status_code=503, detail=f'Session {req.session_id} has an already pending task.') # HTTP503 Service Unavailable
|
||||
#
|
||||
from sd_internal import runtime
|
||||
r = Request()
|
||||
r.session_id = req.session_id
|
||||
r.prompt = req.prompt
|
||||
r.negative_prompt = req.negative_prompt
|
||||
r.init_image = req.init_image
|
||||
r.mask = req.mask
|
||||
r.num_outputs = req.num_outputs
|
||||
r.num_inference_steps = req.num_inference_steps
|
||||
r.guidance_scale = req.guidance_scale
|
||||
r.width = req.width
|
||||
r.height = req.height
|
||||
r.seed = req.seed
|
||||
r.prompt_strength = req.prompt_strength
|
||||
r.sampler = req.sampler
|
||||
# r.allow_nsfw = req.allow_nsfw
|
||||
r.turbo = req.turbo
|
||||
r.use_cpu = req.use_cpu
|
||||
r.use_full_precision = req.use_full_precision
|
||||
r.save_to_disk_path = req.save_to_disk_path
|
||||
r.use_upscale: str = req.use_upscale
|
||||
r.use_face_correction = req.use_face_correction
|
||||
r.show_only_filtered_image = req.show_only_filtered_image
|
||||
r.output_format = req.output_format
|
||||
|
||||
r.stream_progress_updates = True # the underlying implementation only supports streaming
|
||||
r.stream_image_progress = req.stream_image_progress
|
||||
|
||||
r.use_stable_diffusion_model = resolve_model_to_use(req.use_stable_diffusion_model)
|
||||
|
||||
save_model_to_config(req.use_stable_diffusion_model)
|
||||
|
||||
if not req.stream_progress_updates:
|
||||
r.stream_image_progress = False
|
||||
|
||||
new_task = RenderTask(r)
|
||||
task_cache.put(r.session_id, new_task, TASK_TTL)
|
||||
tasks_queue.put(new_task)
|
||||
|
||||
response = {
|
||||
'status': str(current_state),
|
||||
'queue': tasks_queue.qsize(),
|
||||
'stream': f'/image/stream/{req.session_id}/{id(new_task)}',
|
||||
'task': id(new_task)
|
||||
}
|
||||
return JSONResponse(response, headers=NOCACHE_HEADERS)
|
||||
|
||||
async def read_data_generator(data:queue.Queue, lock:threading.Lock):
|
||||
def render(req : task_manager.ImageRequest):
|
||||
try:
|
||||
while not data.empty():
|
||||
res = data.get(block=False)
|
||||
data.task_done()
|
||||
yield res
|
||||
except queue.Empty as e: yield
|
||||
save_model_to_config(req.use_stable_diffusion_model)
|
||||
req.use_stable_diffusion_model = resolve_model_to_use(req.use_stable_diffusion_model)
|
||||
new_task = task_manager.render(req)
|
||||
response = {
|
||||
'status': str(task_manager.current_state),
|
||||
'queue': task_manager.tasks_queue.qsize(),
|
||||
'stream': f'/image/stream/{req.session_id}/{id(new_task)}',
|
||||
'task': id(new_task)
|
||||
}
|
||||
return JSONResponse(response, headers=NOCACHE_HEADERS)
|
||||
except ChildProcessError as e: # Render thread is dead
|
||||
return HTTPException(status_code=500, detail=f'Rendering thread has died.') # HTTP500 Internal Server Error
|
||||
except ConnectionRefusedError as e: # Unstarted task pending, deny queueing more than one.
|
||||
return HTTPException(status_code=503, detail=f'Session {req.session_id} has an already pending task.') # HTTP503 Service Unavailable
|
||||
except Exception as e:
|
||||
return HTTPException(status_code=500, detail=str(e))
|
||||
|
||||
@app.get('/image/stream/{session_id:str}/{task_id:int}')
|
||||
def stream(session_id:str, task_id:int):
|
||||
#TODO Move to WebSockets ??
|
||||
task = task_cache.tryGet(session_id)
|
||||
task = task_manager.task_cache.tryGet(session_id)
|
||||
if not task: return HTTPException(status_code=410, detail='No request received.') # HTTP410 Gone
|
||||
if (id(task) != task_id): return HTTPException(status_code=409, detail=f'Wrong task id received. Expected:{id(task)}, Received:{task_id}') # HTTP409 Conflict
|
||||
if task.buffer_queue.empty() and not task.lock.locked():
|
||||
@ -385,17 +143,16 @@ def stream(session_id:str, task_id:int):
|
||||
return JSONResponse(task.response, headers=NOCACHE_HEADERS)
|
||||
return HTTPException(status_code=425, detail='Too Early, task not started yet.') # HTTP425 Too Early
|
||||
#print(f'Session {session_id} opened live render stream {id(task.buffer_queue)}')
|
||||
return StreamingResponse(read_data_generator(task.buffer_queue, task.lock), media_type='application/json')
|
||||
return StreamingResponse(task.read_buffer_generator(), media_type='application/json')
|
||||
|
||||
@app.get('/image/stop')
|
||||
def stop(session_id:str=None):
|
||||
if not session_id:
|
||||
if current_state == ServerStates.Online or current_state == ServerStates.Unavailable:
|
||||
if task_manager.current_state == ServerStates.Online or task_manager.current_state == ServerStates.Unavailable:
|
||||
return HTTPException(status_code=409, detail='Not currently running any tasks.') # HTTP409 Conflict
|
||||
global current_state_error
|
||||
current_state_error = StopAsyncIteration()
|
||||
task_manager.current_state_error = StopAsyncIteration('')
|
||||
return {'OK'}
|
||||
task = task_cache.tryGet(session_id)
|
||||
task = task_manager.task_cache.tryGet(session_id)
|
||||
if not task: return HTTPException(status_code=404, detail=f'Session {session_id} has no active task.') # HTTP404 Not Found
|
||||
if isinstance(task.error, StopAsyncIteration): return HTTPException(status_code=409, detail=f'Session {session_id} task is already stopped.') # HTTP409 Conflict
|
||||
task.error = StopAsyncIteration('')
|
||||
@ -403,7 +160,7 @@ def stop(session_id:str=None):
|
||||
|
||||
@app.get('/image/tmp/{session_id}/{img_id:int}')
|
||||
def get_image(session_id, img_id):
|
||||
task = task_cache.tryGet(session_id)
|
||||
task = task_manager.task_cache.tryGet(session_id)
|
||||
if not task: return HTTPException(status_code=410, detail=f'Session {session_id} has not submitted a task.') # HTTP410 Gone
|
||||
if not task.temp_images[img_id]: return HTTPException(status_code=425, detail='Too Early, task data is not available yet.') # HTTP425 Too Early
|
||||
try:
|
||||
@ -520,5 +277,8 @@ class LogSuppressFilter(logging.Filter):
|
||||
return True
|
||||
logging.getLogger('uvicorn.access').addFilter(LogSuppressFilter())
|
||||
|
||||
task_manager.default_model_to_load = get_initial_model_to_load()
|
||||
task_manager.start_render_thread()
|
||||
|
||||
# start the browser ui
|
||||
import webbrowser; webbrowser.open('http://localhost:9000')
|
Loading…
Reference in New Issue
Block a user