mirror of
https://github.com/easydiffusion/easydiffusion.git
synced 2024-11-22 16:23:28 +01:00
332 lines
10 KiB
Python
332 lines
10 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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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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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 fastapi.staticfiles import StaticFiles
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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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# don't show access log entries for URLs that start with the given prefix
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ACCESS_LOG_SUPPRESS_PATH_PREFIXES = ['/ping', '/modifier-thumbnails']
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app.mount('/media', StaticFiles(directory=os.path.join(SD_UI_DIR, 'media/')), name="media")
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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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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=get_initial_model_to_load())
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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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# needs to support the legacy installations
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def get_initial_model_to_load():
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custom_weight_path = os.path.join(SD_DIR, 'custom-model.ckpt')
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ckpt_to_use = "sd-v1-4" if not os.path.exists(custom_weight_path) else "custom-model"
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ckpt_to_use = os.path.join(SD_DIR, ckpt_to_use)
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config = getConfig()
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if 'model' in config and 'stable-diffusion' in config['model']:
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model_name = config['model']['stable-diffusion']
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model_path = resolve_model_to_use(model_name)
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if os.path.exists(model_path + '.ckpt'):
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ckpt_to_use = model_path
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else:
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print('Could not find the configured custom model at:', model_path + '.ckpt', '. Using the default one:', ckpt_to_use + '.ckpt')
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return ckpt_to_use
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def resolve_model_to_use(model_name):
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if model_name in ('sd-v1-4', 'custom-model'):
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model_path = os.path.join(MODELS_DIR, 'stable-diffusion', model_name)
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legacy_model_path = os.path.join(SD_DIR, model_name)
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if not os.path.exists(model_path + '.ckpt') and os.path.exists(legacy_model_path + '.ckpt'):
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model_path = legacy_model_path
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else:
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model_path = os.path.join(MODELS_DIR, 'stable-diffusion', model_name)
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return model_path
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def save_model_to_config(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'] = model_name
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setConfig(config)
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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.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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r.use_stable_diffusion_model = resolve_model_to_use(req.use_stable_diffusion_model)
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save_model_to_config(req.use_stable_diffusion_model)
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try:
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if not req.stream_progress_updates:
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r.stream_image_progress = False
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res = runtime.mk_img(r)
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if req.stream_progress_updates:
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return StreamingResponse(res, media_type='application/json')
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else: # compatibility mode: buffer the streaming responses, and return the last one
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last_result = None
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for result in res:
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last_result = result
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return json.loads(last_result)
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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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return json.load(f)
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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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def getConfig():
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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 {}
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with open(config_json_path, 'r') as f:
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return json.load(f)
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except Exception as e:
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return {}
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def setConfig(config):
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try:
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config_json_path = os.path.join(CONFIG_DIR, 'config.json')
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with open(config_json_path, 'w') as f:
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return json.dump(config, f)
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except:
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print(traceback.format_exc())
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@app.get('/models')
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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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},
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'options': {
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'stable-diffusion': ['sd-v1-4'],
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},
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}
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# custom models
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sd_models_dir = os.path.join(MODELS_DIR, 'stable-diffusion')
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for file in os.listdir(sd_models_dir):
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if file.endswith('.ckpt'):
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model_name = os.path.splitext(file)[0]
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models['options']['stable-diffusion'].append(model_name)
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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['active']['stable-diffusion'] = 'custom-model'
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models['options']['stable-diffusion'].append('custom-model')
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config = getConfig()
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if 'model' in config and 'stable-diffusion' in config['model']:
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models['active']['stable-diffusion'] = config['model']['stable-diffusion']
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return models
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@app.get('/modifiers.json')
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def read_modifiers():
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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, 'modifiers.json'), headers=headers)
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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 certain requests
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class LogSuppressFilter(logging.Filter):
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def filter(self, record: logging.LogRecord) -> bool:
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path = record.getMessage()
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for prefix in ACCESS_LOG_SUPPRESS_PATH_PREFIXES:
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if path.find(prefix) != -1:
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return False
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return True
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logging.getLogger('uvicorn.access').addFilter(LogSuppressFilter())
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# start the browser ui
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import webbrowser; webbrowser.open('http://localhost:9000') |