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Running
on
Zero
Running
on
Zero
Upload 4 files
Browse files- app.py +7 -4
- modutils.py +11 -0
- requirements.txt +1 -3
- tagger.py +12 -21
app.py
CHANGED
@@ -168,7 +168,7 @@ from modutils import (list_uniq, download_private_repo, get_model_id_list, get_t
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set_textual_inversion_prompt, get_model_pipeline, change_interface_mode, get_t2i_model_info,
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get_tupled_model_list, save_gallery_images, set_optimization, set_sampler_settings,
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set_quick_presets, process_style_prompt, optimization_list,
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-
preset_styles, preset_quality, preset_sampler_setting)
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from env import (hf_token, CIVITAI_API_KEY, HF_LORA_ESSENTIAL_PRIVATE_REPO, HF_VAE_PRIVATE_REPO,
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HF_SDXL_EMBEDS_NEGATIVE_PRIVATE_REPO, HF_SDXL_EMBEDS_POSITIVE_PRIVATE_REPO,
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directory_models, directory_loras, directory_vaes, directory_embeds, directory_embeds_sdxl,
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@@ -822,9 +822,10 @@ with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', elem_id="main", fill_width=True, cs
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rating_dbt = gr.Radio(label="Rating", choices=list(V2_RATING_OPTIONS), value="sfw")
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generate_db_random_button = gr.Button(value="EXTEND PROMPT 🎲")
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with gr.Row():
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generate_button = gr.Button(value="GENERATE IMAGE", size="lg", variant="primary")
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@@ -1344,6 +1345,8 @@ with gr.Blocks(theme='NoCrypt/miku@>=1.2.2', elem_id="main", fill_width=True, cs
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queue=False,
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)
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model_name_gui.change(get_t2i_model_info, [model_name_gui], [model_info_gui], queue=False)
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gr.on(
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triggers=[quick_model_type_gui.change, quick_genre_gui.change, quick_speed_gui.change, quick_aspect_gui.change],
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set_textual_inversion_prompt, get_model_pipeline, change_interface_mode, get_t2i_model_info,
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get_tupled_model_list, save_gallery_images, set_optimization, set_sampler_settings,
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set_quick_presets, process_style_prompt, optimization_list,
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+
preset_styles, preset_quality, preset_sampler_setting, translate_to_en)
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from env import (hf_token, CIVITAI_API_KEY, HF_LORA_ESSENTIAL_PRIVATE_REPO, HF_VAE_PRIVATE_REPO,
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HF_SDXL_EMBEDS_NEGATIVE_PRIVATE_REPO, HF_SDXL_EMBEDS_POSITIVE_PRIVATE_REPO,
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directory_models, directory_loras, directory_vaes, directory_embeds, directory_embeds_sdxl,
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rating_dbt = gr.Radio(label="Rating", choices=list(V2_RATING_OPTIONS), value="sfw")
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generate_db_random_button = gr.Button(value="EXTEND PROMPT 🎲")
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with gr.Row():
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+
translate_prompt_gui = gr.Button(value="Translate Prompt 📝", variant="secondary", size="sm")
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set_random_seed = gr.Button(value="Seed 🎲", variant="secondary", size="sm")
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set_params_gui = gr.Button(value="Params ↙️", variant="secondary", size="sm")
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+
clear_prompt_gui = gr.Button(value="Clear 🗑️", variant="secondary", size="sm")
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generate_button = gr.Button(value="GENERATE IMAGE", size="lg", variant="primary")
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queue=False,
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)
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model_name_gui.change(get_t2i_model_info, [model_name_gui], [model_info_gui], queue=False)
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translate_prompt_gui.click(translate_to_en, [prompt_gui], [prompt_gui], queue=False)\
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.then(translate_to_en, [neg_prompt_gui], [neg_prompt_gui], queue=False)
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gr.on(
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triggers=[quick_model_type_gui.change, quick_genre_gui.change, quick_speed_gui.change, quick_aspect_gui.change],
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modutils.py
CHANGED
@@ -27,6 +27,17 @@ def list_sub(a, b):
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return [e for e in a if e not in b]
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def get_local_model_list(dir_path):
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model_list = []
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valid_extensions = ('.ckpt', '.pt', '.pth', '.safetensors', '.bin')
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return [e for e in a if e not in b]
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from translatepy import Translator
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translator = Translator()
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def translate_to_en(input: str):
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try:
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output = str(translator.translate(input, 'English'))
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except Exception as e:
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output = input
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print(e)
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return output
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def get_local_model_list(dir_path):
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model_list = []
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valid_extensions = ('.ckpt', '.pt', '.pth', '.safetensors', '.bin')
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requirements.txt
CHANGED
@@ -8,9 +8,7 @@ transformers
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optimum[onnxruntime]
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dartrs
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huggingface_hub
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-
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httpcore
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googletrans==4.0.0rc1
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timm
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rapidfuzz
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sentencepiece
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optimum[onnxruntime]
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dartrs
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huggingface_hub
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translatepy
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timm
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rapidfuzz
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sentencepiece
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tagger.py
CHANGED
@@ -1,11 +1,8 @@
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from PIL import Image
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import torch
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import gradio as gr
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import
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from transformers import (
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AutoImageProcessor,
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AutoModelForImageClassification,
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)
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from pathlib import Path
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@@ -190,18 +187,16 @@ def convert_danbooru_to_e621_prompt(input_prompt: str = "", prompt_type: str = "
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return output_prompt
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def translate_prompt(prompt: str = ""):
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def translate_to_english(
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import httpcore
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setattr(httpcore, 'SyncHTTPTransport', 'AsyncHTTPProxy')
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from googletrans import Translator
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translator = Translator()
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try:
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return translated_prompt
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except Exception as e:
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print(e)
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-
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def is_japanese(s):
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import unicodedata
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@@ -224,17 +219,13 @@ def translate_prompt(prompt: str = ""):
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def translate_prompt_to_ja(prompt: str = ""):
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def translate_to_japanese(
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import httpcore
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setattr(httpcore, 'SyncHTTPTransport', 'AsyncHTTPProxy')
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from googletrans import Translator
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translator = Translator()
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try:
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return translated_prompt
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except Exception as e:
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print(e)
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def is_japanese(s):
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import unicodedata
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import spaces
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from PIL import Image
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import torch
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import gradio as gr
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from transformers import AutoImageProcessor, AutoModelForImageClassification
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from pathlib import Path
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return output_prompt
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from translatepy import Translator
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translator = Translator()
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def translate_prompt(prompt: str = ""):
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def translate_to_english(input: str):
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try:
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output = str(translator.translate(input, 'English'))
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except Exception as e:
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output = input
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print(e)
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return output
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def is_japanese(s):
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import unicodedata
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def translate_prompt_to_ja(prompt: str = ""):
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def translate_to_japanese(input: str):
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try:
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output = str(translator.translate(input, 'Japanese'))
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except Exception as e:
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output = input
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print(e)
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return output
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def is_japanese(s):
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import unicodedata
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