mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-26 18:25:29 +01:00
219 lines
6.2 KiB
Python
219 lines
6.2 KiB
Python
import json
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import traceback
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import sys
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import os
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SCRIPT_DIR = os.getcwd()
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print('started in ', SCRIPT_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.join(SD_UI_DIR, '..', 'scripts')
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OUTPUT_DIRNAME = "Stable Diffusion UI" # in the user's home folder
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from fastapi import FastAPI, HTTPException
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from starlette.responses import FileResponse, StreamingResponse
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from pydantic import BaseModel
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import logging
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from sd_internal import Request, Response
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app = FastAPI()
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model_loaded = False
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model_is_loading = False
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modifiers_cache = None
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outpath = os.path.join(os.path.expanduser("~"), OUTPUT_DIRNAME)
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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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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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# 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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show_only_filtered_image: bool = False
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stream_progress_updates: bool = False
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stream_image_progress: bool = False
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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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headers = {"Cache-Control": "no-cache, no-store, must-revalidate", "Pragma": "no-cache", "Expires": "0"}
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return FileResponse(os.path.join(SD_UI_DIR, 'index.html'), headers=headers)
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@app.get('/ping')
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async def ping():
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global model_loaded, model_is_loading
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try:
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if model_loaded:
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return {'OK'}
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if model_is_loading:
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return {'ERROR'}
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model_is_loading = True
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from sd_internal import runtime
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runtime.load_model_ckpt(ckpt_to_use="sd-v1-4")
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model_loaded = True
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model_is_loading = False
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return {'OK'}
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except Exception as e:
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print(traceback.format_exc())
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return HTTPException(status_code=500, detail=str(e))
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@app.post('/image')
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def image(req : ImageRequest):
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from sd_internal 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.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.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.stream_progress_updates = req.stream_progress_updates
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r.stream_image_progress = req.stream_image_progress
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try:
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res = runtime.mk_img(r)
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if r.stream_progress_updates:
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return StreamingResponse(res, media_type='application/json')
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else:
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return res.json()
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except Exception as e:
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print(traceback.format_exc())
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return HTTPException(status_code=500, detail=str(e))
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@app.get('/image/stop')
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def stop():
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try:
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if model_is_loading:
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return {'ERROR'}
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from sd_internal import runtime
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runtime.stop_processing = True
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return {'OK'}
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except Exception as e:
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print(traceback.format_exc())
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return HTTPException(status_code=500, detail=str(e))
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@app.get('/image/tmp/{session_id}/{img_id}')
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def get_image(session_id, img_id):
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from sd_internal import runtime
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buf = runtime.temp_images[session_id + '/' + img_id]
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buf.seek(0)
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return StreamingResponse(buf, media_type='image/jpeg')
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@app.post('/app_config')
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async def setAppConfig(req : SetAppConfigRequest):
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try:
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config = {
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'update_branch': req.update_branch
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}
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config_json_str = json.dumps(config)
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config_bat_str = f'@set update_branch={req.update_branch}'
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config_sh_str = f'export update_branch={req.update_branch}'
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config_json_path = os.path.join(CONFIG_DIR, 'config.json')
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config_bat_path = os.path.join(CONFIG_DIR, 'config.bat')
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config_sh_path = os.path.join(CONFIG_DIR, 'config.sh')
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with open(config_json_path, 'w') as f:
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f.write(config_json_str)
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with open(config_bat_path, 'w') as f:
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f.write(config_bat_str)
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with open(config_sh_path, 'w') as f:
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f.write(config_sh_str)
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return {'OK'}
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except Exception as e:
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print(traceback.format_exc())
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return HTTPException(status_code=500, detail=str(e))
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@app.get('/app_config')
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def getAppConfig():
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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 HTTPException(status_code=500, detail="No config file")
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with open(config_json_path, 'r') as f:
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config_json_str = f.read()
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config = json.loads(config_json_str)
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return config
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except Exception as e:
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print(traceback.format_exc())
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return HTTPException(status_code=500, detail=str(e))
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@app.get('/media/ding.mp3')
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def read_ding():
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return FileResponse(os.path.join(SD_UI_DIR, 'media/ding.mp3'))
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@app.get('/media/kofi.png')
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def read_modifiers():
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return FileResponse(os.path.join(SD_UI_DIR, 'media/kofi.png'))
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@app.get('/modifiers.json')
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def read_modifiers():
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return FileResponse(os.path.join(SD_UI_DIR, 'modifiers.json'))
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@app.get('/output_dir')
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def read_home_dir():
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return {outpath}
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# don't log /ping requests
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class HealthCheckLogFilter(logging.Filter):
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def filter(self, record: logging.LogRecord) -> bool:
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return record.getMessage().find('/ping') == -1
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logging.getLogger('uvicorn.access').addFilter(HealthCheckLogFilter())
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# start the browser ui
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import webbrowser; webbrowser.open('http://localhost:9000')
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