mirror of
https://github.com/easydiffusion/easydiffusion.git
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f742aad810
Protect SD_UI_BIND_PORT and SD_UI_BIND_IP in config files
458 lines
21 KiB
Python
458 lines
21 KiB
Python
"""server.py: FastAPI SD-UI Web Host.
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Notes:
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async endpoints always run on the main thread. Without they run on the thread pool.
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"""
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import json
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import traceback
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import sys
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import os
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SD_DIR = os.getcwd()
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print('started in ', SD_DIR)
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SD_UI_DIR = os.getenv('SD_UI_PATH', None)
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sys.path.append(os.path.dirname(SD_UI_DIR))
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CONFIG_DIR = os.path.abspath(os.path.join(SD_UI_DIR, '..', 'scripts'))
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MODELS_DIR = os.path.abspath(os.path.join(SD_DIR, '..', 'models'))
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UI_PLUGINS_DIR = os.path.abspath(os.path.join(SD_DIR, '..', 'plugins', 'ui'))
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OUTPUT_DIRNAME = "Stable Diffusion UI" # in the user's home folder
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TASK_TTL = 15 * 60 # Discard last session's task timeout
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APP_CONFIG_DEFAULTS = {
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# auto: selects the cuda device with the most free memory, cuda: use the currently active cuda device.
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'render_devices': ['auto'], # ['cuda'] or ['CPU', 'GPU:0', 'GPU:1', ...] or ['cpu']
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'update_branch': 'main',
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}
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APP_CONFIG_DEFAULT_MODELS = [
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# needed to support the legacy installations
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'custom-model', # Check if user has a custom model, use it first.
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'sd-v1-4', # Default fallback.
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]
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from fastapi import FastAPI, HTTPException
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from fastapi.staticfiles import StaticFiles
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from starlette.responses import FileResponse, JSONResponse, StreamingResponse
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from pydantic import BaseModel
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import logging
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#import queue, threading, time
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from typing import Any, Generator, Hashable, List, Optional, Union
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from sd_internal import Request, Response, task_manager
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app = FastAPI()
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modifiers_cache = None
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outpath = os.path.join(os.path.expanduser("~"), OUTPUT_DIRNAME)
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os.makedirs(UI_PLUGINS_DIR, exist_ok=True)
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# don't show access log entries for URLs that start with the given prefix
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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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app.mount('/plugins', StaticFiles(directory=UI_PLUGINS_DIR), name="plugins")
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config_cached = None
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config_last_mod_time = 0
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def getConfig(default_val=APP_CONFIG_DEFAULTS):
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global config_cached, config_last_mod_time
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try:
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config_json_path = os.path.join(CONFIG_DIR, 'config.json')
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if not os.path.exists(config_json_path):
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return default_val
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if config_last_mod_time > 0 and config_cached is not None:
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# Don't read if file was not modified
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mtime = os.path.getmtime(config_json_path)
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if mtime <= config_last_mod_time:
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return config_cached
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with open(config_json_path, 'r', encoding='utf-8') as f:
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config_cached = json.load(f)
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config_last_mod_time = os.path.getmtime(config_json_path)
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return config_cached
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except Exception as e:
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print(str(e))
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print(traceback.format_exc())
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return default_val
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def setConfig(config):
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try: # config.json
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config_json_path = os.path.join(CONFIG_DIR, 'config.json')
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with open(config_json_path, 'w', encoding='utf-8') as f:
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json.dump(config, f)
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except:
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print(traceback.format_exc())
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if 'render_devices' in config:
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gpu_devices = list(filter(lambda dev: dev.lower().startswith('gpu') or dev.lower().startswith('cuda'), config['render_devices']))
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else:
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gpu_devices = []
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has_first_cuda_device = False
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for device in gpu_devices:
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if not task_manager.is_first_cuda_device(device.lower()): continue
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has_first_cuda_device = True
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break
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if len(gpu_devices) > 0 and not has_first_cuda_device:
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print('WARNING: GFPGANer only works on GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.')
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print('Using CUDA_VISIBLE_DEVICES will remap the selected devices starting at GPU:0 fixing GFPGANer')
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try: # config.bat
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config_bat = [
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f"@set update_branch={config['update_branch']}"
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]
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if os.getenv('CUDA_VISIBLE_DEVICES') is None:
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if len(gpu_devices) > 0 and not has_first_cuda_device:
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config_bat.append('::Set the devices visible inside SD-UI here')
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config_bat.append(f"::@set CUDA_VISIBLE_DEVICES={','.join(gpu_devices)}") # Needs better detection for edge cases, add as a comment for now.
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print('Add the line "@set CUDA_VISIBLE_DEVICES=N" where N is the GPUs to use to config.bat')
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else:
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config_bat.append(f"@set CUDA_VISIBLE_DEVICES={os.getenv('CUDA_VISIBLE_DEVICES')}")
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if len(gpu_devices) > 0 and not has_first_cuda_device:
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print('GPU:0 seems to be missing! Validate that CUDA_VISIBLE_DEVICES is set properly.')
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config_bat_path = os.path.join(CONFIG_DIR, 'config.bat')
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if os.getenv('SD_UI_BIND_PORT') is not None:
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config_bat.append(f"@set SD_UI_BIND_PORT={os.getenv('SD_UI_BIND_PORT')}")
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if os.getenv('SD_UI_BIND_IP') is not None:
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config_bat.append(f"@set SD_UI_BIND_IP={os.getenv('SD_UI_BIND_IP')}")
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with open(config_bat_path, 'w', encoding='utf-8') as f:
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f.write('\r\n'.join(config_bat))
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except Exception as e:
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print(traceback.format_exc())
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try: # config.sh
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config_sh = [
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'#!/bin/bash',
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f"export update_branch={config['update_branch']}"
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]
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if os.getenv('CUDA_VISIBLE_DEVICES') is None:
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if len(gpu_devices) > 0 and not has_first_cuda_device:
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config_sh.append('#Set the devices visible inside SD-UI here')
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config_sh.append(f"#CUDA_VISIBLE_DEVICES={','.join(gpu_devices)}") # Needs better detection for edge cases, add as a comment for now.
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print('Add the line "CUDA_VISIBLE_DEVICES=N" where N is the GPUs to use to config.sh')
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else:
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config_sh.append(f"export CUDA_VISIBLE_DEVICES=\"{os.getenv('CUDA_VISIBLE_DEVICES')}\"")
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if len(gpu_devices) > 0 and not has_first_cuda_device:
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print('GPU:0 seems to be missing! Validate that CUDA_VISIBLE_DEVICES is set properly.')
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if os.getenv('SD_UI_BIND_PORT') is not None:
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config_sh.append(f"export SD_UI_BIND_PORT={os.getenv('SD_UI_BIND_PORT')}")
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if os.getenv('SD_UI_BIND_IP') is not None:
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config_sh.append(f"export SD_UI_BIND_IP={os.getenv('SD_UI_BIND_IP')}")
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config_sh_path = os.path.join(CONFIG_DIR, 'config.sh')
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with open(config_sh_path, 'w', encoding='utf-8') as f:
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f.write('\n'.join(config_sh))
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except Exception as e:
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print(traceback.format_exc())
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def resolve_model_to_use(model_name:str, model_type:str, model_dir:str, model_extensions:list, default_models=[]):
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model_dirs = [os.path.join(MODELS_DIR, model_dir), SD_DIR]
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if not model_name: # When None try user configured model.
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config = getConfig()
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if 'model' in config and model_type in config['model']:
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model_name = config['model'][model_type]
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if model_name:
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# Check models directory
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models_dir_path = os.path.join(MODELS_DIR, model_dir, model_name)
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for model_extension in model_extensions:
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if os.path.exists(models_dir_path + model_extension):
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return models_dir_path
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if os.path.exists(model_name + model_extension):
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# Direct Path to file
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model_name = os.path.abspath(model_name)
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return model_name
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# Default locations
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if model_name in default_models:
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default_model_path = os.path.join(SD_DIR, model_name)
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for model_extension in model_extensions:
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if os.path.exists(default_model_path + model_extension):
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return default_model_path
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# Can't find requested model, check the default paths.
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for default_model in default_models:
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for model_dir in model_dirs:
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default_model_path = os.path.join(model_dir, default_model)
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for model_extension in model_extensions:
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if os.path.exists(default_model_path + model_extension):
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if model_name is not None:
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print(f'Could not find the configured custom model {model_name}{model_extension}. Using the default one: {default_model_path}{model_extension}')
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return default_model_path
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raise Exception('No valid models found.')
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def resolve_ckpt_to_use(model_name:str=None):
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return resolve_model_to_use(model_name, model_type='stable-diffusion', model_dir='stable-diffusion', model_extensions=['.ckpt'], default_models=APP_CONFIG_DEFAULT_MODELS)
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def resolve_vae_to_use(model_name:str=None):
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try:
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return resolve_model_to_use(model_name, model_type='vae', model_dir='vae', model_extensions=['.vae.pt', '.ckpt'], default_models=[])
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except:
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return None
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class SetAppConfigRequest(BaseModel):
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update_branch: str = None
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render_devices: Union[List[str], List[int], str, int] = None
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model_vae: str = None
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@app.post('/app_config')
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async def setAppConfig(req : SetAppConfigRequest):
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config = getConfig()
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if req.update_branch:
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config['update_branch'] = req.update_branch
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if req.render_devices and hasattr(req.render_devices, "__len__"): # strings, array of strings or numbers.
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render_devices = []
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if isinstance(req.render_devices, str):
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req.render_devices = req.render_devices.split(',')
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if isinstance(req.render_devices, list):
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for gpu in req.render_devices:
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if isinstance(req.render_devices, int):
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render_devices.append('GPU:' + gpu)
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else:
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render_devices.append(gpu)
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if isinstance(req.render_devices, int):
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render_devices.append('GPU:' + req.render_devices)
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if len(render_devices) > 0:
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config['render_devices'] = render_devices
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try:
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setConfig(config)
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return JSONResponse({'status': 'OK'}, headers=NOCACHE_HEADERS)
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except Exception as e:
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print(traceback.format_exc())
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raise HTTPException(status_code=500, detail=str(e))
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def getModels():
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models = {
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'active': {
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'stable-diffusion': 'sd-v1-4',
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'vae': '',
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},
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'options': {
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'stable-diffusion': ['sd-v1-4'],
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'vae': [],
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},
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}
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def listModels(models_dirname, model_type, model_extensions):
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models_dir = os.path.join(MODELS_DIR, models_dirname)
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for file in os.listdir(models_dir):
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for model_extension in model_extensions:
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if file.endswith(model_extension):
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model_name = file[:-len(model_extension)]
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models['options'][model_type].append(model_name)
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models['options'][model_type] = [*set(models['options'][model_type])] # remove duplicates
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# custom models
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listModels(models_dirname='stable-diffusion', model_type='stable-diffusion', model_extensions=['.ckpt'])
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listModels(models_dirname='vae', model_type='vae', model_extensions=['.vae.pt', '.ckpt'])
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# legacy
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custom_weight_path = os.path.join(SD_DIR, 'custom-model.ckpt')
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if os.path.exists(custom_weight_path):
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models['options']['stable-diffusion'].append('custom-model')
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return models
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def getUIPlugins():
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plugins = []
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for file in os.listdir(UI_PLUGINS_DIR):
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if file.endswith('.plugin.js'):
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plugins.append(f'/plugins/{file}')
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return plugins
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@app.get('/get/{key:path}')
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def read_web_data(key:str=None):
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if not key: # /get without parameters, stable-diffusion easter egg.
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raise HTTPException(status_code=418, detail="StableDiffusion is drawing a teapot!") # HTTP418 I'm a teapot
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elif key == 'app_config':
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config = getConfig(default_val=None)
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if config is None:
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raise HTTPException(status_code=500, detail="Config file is missing or unreadable")
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return JSONResponse(config, headers=NOCACHE_HEADERS)
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elif key == 'devices':
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return JSONResponse(task_manager.get_devices(), headers=NOCACHE_HEADERS)
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elif key == 'models':
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return JSONResponse(getModels(), headers=NOCACHE_HEADERS)
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elif key == 'modifiers': return FileResponse(os.path.join(SD_UI_DIR, 'modifiers.json'), headers=NOCACHE_HEADERS)
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elif key == 'output_dir': return JSONResponse({ 'output_dir': outpath }, headers=NOCACHE_HEADERS)
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elif key == 'ui_plugins': return JSONResponse(getUIPlugins(), headers=NOCACHE_HEADERS)
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else:
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raise HTTPException(status_code=404, detail=f'Request for unknown {key}') # HTTP404 Not Found
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@app.get('/ping') # Get server and optionally session status.
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def ping(session_id:str=None):
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if task_manager.is_alive() <= 0: # Check that render threads are alive.
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if task_manager.current_state_error: raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
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raise HTTPException(status_code=500, detail='Render thread is dead.')
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if task_manager.current_state_error and not isinstance(task_manager.current_state_error, StopAsyncIteration): raise HTTPException(status_code=500, detail=str(task_manager.current_state_error))
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# Alive
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response = {'status': str(task_manager.current_state)}
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if session_id:
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task = task_manager.get_cached_task(session_id, update_ttl=True)
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if task:
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response['task'] = id(task)
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if task.lock.locked():
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response['session'] = 'running'
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elif isinstance(task.error, StopAsyncIteration):
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response['session'] = 'stopped'
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elif task.error:
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response['session'] = 'error'
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elif not task.buffer_queue.empty():
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response['session'] = 'buffer'
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elif task.response:
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response['session'] = 'completed'
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else:
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response['session'] = 'pending'
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return JSONResponse(response, headers=NOCACHE_HEADERS)
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def save_model_to_config(ckpt_model_name, vae_model_name):
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config = getConfig()
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if 'model' not in config:
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config['model'] = {}
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config['model']['stable-diffusion'] = ckpt_model_name
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config['model']['vae'] = vae_model_name
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if vae_model_name is None or vae_model_name == "":
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del config['model']['vae']
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setConfig(config)
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@app.post('/render')
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def render(req : task_manager.ImageRequest):
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if req.use_cpu: # TODO Remove after transition.
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print('WARNING Replace {use_cpu: true} by {render_device: "cpu"}')
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req.render_device = 'cpu'
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del req.use_cpu
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if req.render_device and task_manager.is_alive(req.render_device) <= 0: raise HTTPException(status_code=403, detail=f'{req.render_device} rendering is not enabled in config.json or the thread has died...') # HTTP403 Forbidden
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if req.use_face_correction and task_manager.is_alive(0) <= 0: #TODO Remove when GFPGANer is fixed upstream.
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raise HTTPException(status_code=412, detail=f'GFPGANer only works GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.') # HTTP412 Precondition Failed
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try:
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save_model_to_config(req.use_stable_diffusion_model, req.use_vae_model)
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req.use_stable_diffusion_model = resolve_ckpt_to_use(req.use_stable_diffusion_model)
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req.use_vae_model = resolve_vae_to_use(req.use_vae_model)
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new_task = task_manager.render(req)
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response = {
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'status': str(task_manager.current_state),
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'queue': len(task_manager.tasks_queue),
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'stream': f'/image/stream/{req.session_id}/{id(new_task)}',
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'task': id(new_task)
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}
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return JSONResponse(response, headers=NOCACHE_HEADERS)
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except ChildProcessError as e: # Render thread is dead
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raise HTTPException(status_code=500, detail=f'Rendering thread has died.') # HTTP500 Internal Server Error
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except ConnectionRefusedError as e: # Unstarted task pending, deny queueing more than one.
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raise HTTPException(status_code=503, detail=f'Session {req.session_id} has an already pending task.') # HTTP503 Service Unavailable
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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@app.get('/image/stream/{session_id:str}/{task_id:int}')
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def stream(session_id:str, task_id:int):
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#TODO Move to WebSockets ??
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task = task_manager.get_cached_task(session_id, update_ttl=True)
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if not task: raise HTTPException(status_code=410, detail='No request received.') # HTTP410 Gone
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if (id(task) != task_id): raise HTTPException(status_code=409, detail=f'Wrong task id received. Expected:{id(task)}, Received:{task_id}') # HTTP409 Conflict
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if task.buffer_queue.empty() and not task.lock.locked():
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if task.response:
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#print(f'Session {session_id} sending cached response')
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return JSONResponse(task.response, headers=NOCACHE_HEADERS)
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raise HTTPException(status_code=425, detail='Too Early, task not started yet.') # HTTP425 Too Early
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#print(f'Session {session_id} opened live render stream {id(task.buffer_queue)}')
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return StreamingResponse(task.read_buffer_generator(), media_type='application/json')
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@app.get('/image/stop')
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def stop(session_id:str=None):
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if not session_id:
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if task_manager.current_state == task_manager.ServerStates.Online or task_manager.current_state == task_manager.ServerStates.Unavailable:
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raise HTTPException(status_code=409, detail='Not currently running any tasks.') # HTTP409 Conflict
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task_manager.current_state_error = StopAsyncIteration('')
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return {'OK'}
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task = task_manager.get_cached_task(session_id, update_ttl=False)
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if not task: raise HTTPException(status_code=404, detail=f'Session {session_id} has no active task.') # HTTP404 Not Found
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if isinstance(task.error, StopAsyncIteration): raise HTTPException(status_code=409, detail=f'Session {session_id} task is already stopped.') # HTTP409 Conflict
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task.error = StopAsyncIteration('')
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return {'OK'}
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@app.get('/image/tmp/{session_id}/{img_id:int}')
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def get_image(session_id, img_id):
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task = task_manager.get_cached_task(session_id, update_ttl=True)
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if not task: raise HTTPException(status_code=410, detail=f'Session {session_id} has not submitted a task.') # HTTP410 Gone
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if not task.temp_images[img_id]: raise HTTPException(status_code=425, detail='Too Early, task data is not available yet.') # HTTP425 Too Early
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try:
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img_data = task.temp_images[img_id]
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if isinstance(img_data, str):
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return img_data
|
|
img_data.seek(0)
|
|
return StreamingResponse(img_data, media_type='image/jpeg')
|
|
except KeyError as e:
|
|
raise HTTPException(status_code=500, detail=str(e))
|
|
|
|
@app.get('/')
|
|
def read_root():
|
|
return FileResponse(os.path.join(SD_UI_DIR, 'index.html'), headers=NOCACHE_HEADERS)
|
|
|
|
@app.on_event("shutdown")
|
|
def shutdown_event(): # Signal render thread to close on shutdown
|
|
task_manager.current_state_error = SystemExit('Application shutting down.')
|
|
|
|
# don't log certain requests
|
|
class LogSuppressFilter(logging.Filter):
|
|
def filter(self, record: logging.LogRecord) -> bool:
|
|
path = record.getMessage()
|
|
for prefix in ACCESS_LOG_SUPPRESS_PATH_PREFIXES:
|
|
if path.find(prefix) != -1:
|
|
return False
|
|
return True
|
|
logging.getLogger('uvicorn.access').addFilter(LogSuppressFilter())
|
|
|
|
config = getConfig()
|
|
|
|
# Start the task_manager
|
|
task_manager.default_model_to_load = resolve_ckpt_to_use()
|
|
task_manager.default_vae_to_load = resolve_vae_to_use()
|
|
if 'render_devices' in config: # Start a new thread for each device.
|
|
if isinstance(config['render_devices'], str):
|
|
config['render_devices'] = config['render_devices'].split(',')
|
|
if not isinstance(config['render_devices'], list):
|
|
raise Exception('Invalid render_devices value in config.')
|
|
for device in config['render_devices']:
|
|
if task_manager.is_alive(device) >= 1:
|
|
print(device, 'already registered.')
|
|
continue
|
|
if not task_manager.start_render_thread(device):
|
|
print(device, 'failed to start.')
|
|
if task_manager.is_alive() <= 0: # No running devices, probably invalid user config.
|
|
print('WARNING: No active render devices after loading config. Validate "render_devices" in config.json')
|
|
print('Loading default render devices to replace invalid render_devices field from config', config['render_devices'])
|
|
|
|
if task_manager.is_alive() <= 0: # Either no defauls or no devices after loading config.
|
|
# Select best GPU device using free memory, if more than one device.
|
|
if task_manager.start_render_thread('auto'): # Detect best device for renders
|
|
# if cuda:0 is missing, another cuda device is better. try to start it...
|
|
if task_manager.is_alive(0) <= 0 and task_manager.is_alive('cpu') <= 0 and not task_manager.start_render_thread('cuda'):
|
|
print('Failed to start GPU:0...')
|
|
else:
|
|
print('Failed to start gpu device.')
|
|
if task_manager.is_alive('cpu') <= 0 and not task_manager.start_render_thread('cpu'): # Allow CPU to be used for renders
|
|
print('Failed to start CPU render device...')
|
|
|
|
is_using_a_gpu = (task_manager.is_alive() > task_manager.is_alive('cpu'))
|
|
if is_using_a_gpu and task_manager.is_alive(0) <= 0:
|
|
print('WARNING: GFPGANer only works on GPU:0, use CUDA_VISIBLE_DEVICES if GFPGANer is needed on a specific GPU.')
|
|
print('Using CUDA_VISIBLE_DEVICES will remap the selected devices starting at GPU:0 fixing GFPGANer')
|
|
print('Add the line "@set CUDA_VISIBLE_DEVICES=N" where N is the GPUs to use to config.bat')
|
|
print('Add the line "CUDA_VISIBLE_DEVICES=N" where N is the GPUs to use to config.sh')
|
|
|
|
print('active devices', task_manager.get_devices())
|
|
|
|
# start the browser ui
|
|
import webbrowser; webbrowser.open('http://localhost:9000')
|