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model-keyword
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convert to AlwaysVisible script.

pull/13/head
ChunKoo Park 2022-12-04 10:47:29 +09:00
parent 302f8885ec
commit f0cc52f3cb
1 changed files with 26 additions and 16 deletions
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42
scripts/model_keyword.py
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@ -3,13 +3,11 @@ import gradio as gr
import csv
import os
scripts_dir = scripts.basedir()
from modules.processing import process_images
import modules.shared as shared
import difflib
import random
scripts_dir = scripts.basedir()
kw_idx = 0
hash_dict = None
hash_dict_modified = None
@ -21,18 +19,24 @@ class Script(scripts.Script):
def title(self):
return "Model keyword"
def show(self, is_img2img):
return scripts.AlwaysVisible
def ui(self, is_img2img):
info = gr.HTML("<p style=\"margin-bottom:0.75em\">You can edit extensions/model-keyword/model-keyword-user.txt to add custom mappings</p>")
with gr.Group():
with gr.Accordion('Model Keyword', open=False):
is_enabled = gr.Checkbox(label='Model Keyword Enabled', value=True)
info = gr.HTML("<p style=\"margin-bottom:0.75em\">You can edit extensions/model-keyword/model-keyword-user.txt to add custom mappings</p>")
keyword_placement = gr.Dropdown(choices=["keyword prompt", "prompt keyword", "keyword, prompt", "prompt, keyword"],
value='keyword prompt',
label='Keyword placement:')
keyword_placement = gr.Dropdown(choices=["keyword prompt", "prompt keyword", "keyword, prompt", "prompt, keyword"],
value='keyword prompt',
label='Keyword placement:')
multiple_keywords = gr.Dropdown(choices=["keyword1, keyword2", "random", "iterate", "keyword1", "keyword2"],
multiple_keywords = gr.Dropdown(choices=["keyword1, keyword2", "random", "iterate", "keyword1", "keyword2"],
value='keyword1, keyword2',
label='Multiple keywords:')
return [info, keyword_placement, multiple_keywords]
return [is_enabled, info, keyword_placement, multiple_keywords]
def load_hash_dict(self):
global hash_dict, hash_dict_modified, scripts_dir
@ -69,7 +73,12 @@ class Script(scripts.Script):
return hash_dict
def run(self, p, _, keyword_placement, multiple_keywords):
def process(self, p, is_enabled, _, keyword_placement, multiple_keywords):
if not is_enabled:
global hash_dict
hash_dict = None
return
# hash -> [ (keyword, ckptname) ]
hash_dict = self.load_hash_dict()
@ -79,7 +88,7 @@ class Script(scripts.Script):
model_ckpt = os.path.basename(shared.sd_model.sd_checkpoint_info.filename)
model_hash = shared.sd_model.sd_model_hash
def new_prompt(prompt, kw):
def new_prompt(prompt, kw, no_iter=False):
global kw_idx
kws = kw.split('|')
if len(kws) > 1:
@ -90,7 +99,8 @@ class Script(scripts.Script):
kw = random.choice(kws)
elif multiple_keywords=="iterate":
kw = kws[kw_idx%len(kws)]
kw_idx += 1
if not no_iter:
kw_idx += 1
elif multiple_keywords=="keyword1":
kw = kws[0]
elif multiple_keywords=="keyword2":
@ -108,9 +118,9 @@ class Script(scripts.Script):
if model_hash in hash_dict:
lst = hash_dict[model_hash]
kw = None
if len(lst) == 1:
kw = lst[0][0]
p.prompt = new_prompt(p.prompt, kw)
elif len(lst) > 1:
max_sim = 0.0
kw = lst[0][0]
@ -119,6 +129,6 @@ class Script(scripts.Script):
if sim >= max_sim:
max_sim = sim
kw = kw_ckpt[0]
p.prompt = new_prompt(p.prompt, kw)
return process_images(p)
if kw is not None:
p.prompt = new_prompt(p.prompt, kw, no_iter=True)
p.all_prompts = [new_prompt(prompt, kw) for prompt in p.all_prompts]