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Speed fix and summarizing for stable diffusion down to 75 tokens

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ebolam
2022-09-26 13:14:15 -04:00
parent 68bf3cc7f0
commit a07ebad9cb
2 changed files with 13 additions and 6 deletions
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17
aiserver.py
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@@ -1270,7 +1270,7 @@ def general_startup(override_args=None):
parser.add_argument("--customsettings", help="Preloads arguements from json file. You only need to provide the location of the json file. Use customsettings.json template file. It can be renamed if you wish so that you can store multiple configurations. Leave any settings you want as default as null. Any values you wish to set need to be in double quotation marks") parser.add_argument("--customsettings", help="Preloads arguements from json file. You only need to provide the location of the json file. Use customsettings.json template file. It can be renamed if you wish so that you can store multiple configurations. Leave any settings you want as default as null. Any values you wish to set need to be in double quotation marks")
parser.add_argument("--no_ui", action='store_true', default=False, help="Disables the GUI and Socket.IO server while leaving the API server running.") parser.add_argument("--no_ui", action='store_true', default=False, help="Disables the GUI and Socket.IO server while leaving the API server running.")
parser.add_argument("--summarizer_model", action='store', default="philschmid/bart-large-cnn-samsum", help="Huggingface model to use for summarization. Defaults to sshleifer/distilbart-cnn-12-6") parser.add_argument("--summarizer_model", action='store', default="philschmid/bart-large-cnn-samsum", help="Huggingface model to use for summarization. Defaults to sshleifer/distilbart-cnn-12-6")
parser.add_argument("--max_summary_length", action='store', default=100, help="Maximum size for summary to send to image generation") parser.add_argument("--max_summary_length", action='store', default=75, help="Maximum size for summary to send to image generation")
parser.add_argument("--multi_story", action='store_true', default=False, help="Allow multi-story mode (experimental)") parser.add_argument("--multi_story", action='store_true', default=False, help="Allow multi-story mode (experimental)")
parser.add_argument('-f', action='store', help="option for compatability with colab memory profiles") parser.add_argument('-f', action='store', help="option for compatability with colab memory profiles")
@@ -8734,6 +8734,8 @@ def UI_2_generate_image(data):
koboldai_vars.generating_image = True koboldai_vars.generating_image = True
eventlet.sleep(0) eventlet.sleep(0)
art_guide = 'fantasy illustration, artstation, by jason felix by steve argyle by tyler jacobson by peter mohrbacher, cinematic lighting'
#get latest action #get latest action
if len(koboldai_vars.actions) > 0: if len(koboldai_vars.actions) > 0:
action = koboldai_vars.actions[-1] action = koboldai_vars.actions[-1]
@@ -8765,11 +8767,16 @@ def UI_2_generate_image(data):
else: else:
text = "".join(koboldai_vars.actions[:-5]) text = "".join(koboldai_vars.actions[:-5])
if os.path.exists("models/{}".format(args.summarizer_model.replace('/', '_'))):
koboldai_vars.summary_tokenizer = AutoTokenizer.from_pretrained("models/{}".format(args.summarizer_model.replace('/', '_')), cache_dir="cache")
keys = [summarize(text, max_length=args.max_summary_length)] else:
koboldai_vars.summary_tokenizer = AutoTokenizer.from_pretrained(args.summarizer_model, cache_dir="cache")
max_length = args.max_summary_length - len(koboldai_vars.summary_tokenizer.encode(art_guide))
keys = [summarize(text, max_length=max_length)]
art_guide = 'fantasy illustration, artstation, by jason felix by steve argyle by tyler jacobson by peter mohrbacher, cinematic lighting',
#If we don't have a GPU, use horde if we're allowed to #If we don't have a GPU, use horde if we're allowed to
start_time = time.time() start_time = time.time()

2
koboldai_settings.py
View File

@@ -40,7 +40,7 @@ def process_variable_changes(socketio, classname, name, value, old_value, debug_
return return
else: else:
room = "UI_2" room = "UI_2"
logger.debug("sending data to room (multi_story={},classname={}): {}".format(multi_story, classname, room)) #logger.debug("sending data to room (multi_story={},classname={}): {}".format(multi_story, classname, room))
#Special Case for KoboldStoryRegister #Special Case for KoboldStoryRegister
if isinstance(value, KoboldStoryRegister): if isinstance(value, KoboldStoryRegister):
if not has_request_context(): if not has_request_context():