Always Visible UI Overhaul
UI Changes:
- Made extension always visible on the img2img tab. This will allow for other scripts to be run alongside extension.
- Added triggers to determine if the script should run. Triggers are if a model is selected or if an image is present.
- Removed "Deepbooru (Native)" from being the default model, so that script is not active by default.
- Set `clip_api_mode` to "best" to better align with 'clip-interrogator-ext' defaults
Optimizations:
- Library declarations needed to be organized and cleaned of repetition.
- Script will no longer run if there is no image to interrogate, (I think that img2img probably should not run if there is no images anyways...)
pull/10/head
parent
fa3234ecbf
commit
6b1b47f392
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@ -1,13 +1,14 @@
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import gradio as gr
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import gradio as gr
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import re
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import re
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from modules import scripts, deepbooru
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from modules.processing import process_images
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import modules.shared as shared
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import os
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import os
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import requests
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import requests
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from io import BytesIO
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from io import BytesIO
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import base64
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import base64
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from modules import script_callbacks
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from modules import scripts, deepbooru, script_callbacks
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from modules.processing import process_images
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import modules.shared as shared
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NAME = "Img2img batch interrogator"
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"""
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"""
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@ -30,8 +31,9 @@ class Script(scripts.Script):
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return cls.server_address
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return cls.server_address
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# Fallback to the brute force method if server_address is not set
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# Fallback to the brute force method if server_address is not set
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# Initial testing indicates that fallback method might not be needed...
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# Initial testing indicates that fallback method will never be used...
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print("Server address not set. Falling back to brute force method.")
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print("Server address not set. Falling back to brute force method.")
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# Fallback is highly inefficient and in some cases slow (especially if expected port is far from default)
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ports = range(7860, 7960) # Gradio will increment port 100 times if default and subsequent desired ports are unavailable.
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ports = range(7860, 7960) # Gradio will increment port 100 times if default and subsequent desired ports are unavailable.
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for port in ports:
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for port in ports:
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url = f"http://127.0.0.1:{port}/"
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url = f"http://127.0.0.1:{port}/"
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@ -42,14 +44,14 @@ class Script(scripts.Script):
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except requests.RequestException as error:
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except requests.RequestException as error:
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print(f"API not available on port {port}: {error}")
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print(f"API not available on port {port}: {error}")
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print("API not found on any port")
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print("API not found")
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return None
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return None
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def title(self):
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def title(self):
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return "Img2img batch interrogator"
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return NAME
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def show(self, is_img2img):
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def show(self, is_img2img):
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return is_img2img
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return scripts.AlwaysVisible if is_img2img else False
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def b_clicked(o):
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def b_clicked(o):
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return gr.Button.update(interactive=True)
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return gr.Button.update(interactive=True)
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@ -97,8 +99,10 @@ class Script(scripts.Script):
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return gr.Dropdown.update(choices=models if models else None)
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return gr.Dropdown.update(choices=models if models else None)
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def ui(self, is_img2img):
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def ui(self, is_img2img):
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with gr.Group():
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with gr.Accordion(NAME, open=False):
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model_options = ["CLIP (API)", "CLIP (Native)", "Deepbooru (Native)", "WD (API)"]
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model_options = ["CLIP (API)", "CLIP (Native)", "Deepbooru (Native)", "WD (API)"]
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model_selection = gr.Dropdown(choices=model_options, label="Select Interrogation Model(s)", multiselect=True, value="Deepbooru (Native)")
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model_selection = gr.Dropdown(choices=model_options, label="Select Interrogation Model(s)", multiselect=True, value=None)
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in_front = gr.Radio(
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in_front = gr.Radio(
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choices=["Prepend to prompt", "Append to prompt"],
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choices=["Prepend to prompt", "Append to prompt"],
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@ -124,7 +128,7 @@ class Script(scripts.Script):
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clip_api_accordion = gr.Accordion("CLIP API Options:", open=False, visible=False)
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clip_api_accordion = gr.Accordion("CLIP API Options:", open=False, visible=False)
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with clip_api_accordion:
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with clip_api_accordion:
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clip_api_model = gr.Dropdown(choices=[], value='ViT-L-14/openai', label="CLIP API Model")
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clip_api_model = gr.Dropdown(choices=[], value='ViT-L-14/openai', label="CLIP API Model")
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clip_api_mode = gr.Radio(choices=["fast", "best", "classic", "negative"], label="CLIP API Mode", value="fast")
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clip_api_mode = gr.Radio(choices=["best", "fast", "classic", "negative"], label="CLIP API Mode", value="best")
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# WD API Options
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# WD API Options
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def update_wd_api_visibility(model_selection):
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def update_wd_api_visibility(model_selection):
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@ -138,8 +142,8 @@ class Script(scripts.Script):
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wd_api_accordion = gr.Accordion("WD API Options:", open=False, visible=False)
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wd_api_accordion = gr.Accordion("WD API Options:", open=False, visible=False)
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with wd_api_accordion:
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with wd_api_accordion:
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wd_api_model = gr.Dropdown(choices=[], value='wd-v1-4-moat-tagger.v2', label="WD API Model")
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wd_api_model = gr.Dropdown(choices=[], value='wd-v1-4-moat-tagger.v2', label="WD API Model")
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wd_underscore_fix = gr.Checkbox(label="Remove Underscores from Tags", value=True)
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wd_threshold = gr.Slider(0.0, 1.0, value=0.35, step=0.01, label="Threshold")
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wd_threshold = gr.Slider(0.0, 1.0, value=0.35, step=0.01, label="Threshold")
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wd_underscore_fix = gr.Checkbox(label="Remove Underscores from Tags", value=True)
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unload_wd_models_afterwords = gr.Checkbox(label="Unload WD Model After Use", value=True)
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unload_wd_models_afterwords = gr.Checkbox(label="Unload WD Model After Use", value=True)
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unload_wd_models_button = gr.Button(value="Unload WD Models")
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unload_wd_models_button = gr.Button(value="Unload WD Models")
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@ -215,6 +219,8 @@ class Script(scripts.Script):
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raw_prompt = p.prompt
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raw_prompt = p.prompt
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interrogator = ""
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interrogator = ""
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# If no model selected or no image, interrogation should not run
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if model_selection and not p.init_images[0]:
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# fix alpha channel
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# fix alpha channel
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p.init_images[0] = p.init_images[0].convert("RGB")
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p.init_images[0] = p.init_images[0].convert("RGB")
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@ -357,8 +363,9 @@ class Script(scripts.Script):
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"name_in_queue": ""
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"name_in_queue": ""
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}
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}
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api_address = f"{self.get_server_address()}tagger/v1/interrogate"
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api_address = f"{self.get_server_address()}tagger/v1/interrogate"
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# WARNING: Removing `timeout` could result in a frozen client if the queue_lock is locked. If you need more time add more time, do not remove or risk DEADLOCK.
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# WARNING: Removing `timeout` could result in a frozen client if the queue_lock is locked. If you need more time add more time, do not remove timeout or risk DEADLOCK.
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# Note: If WD Tagger did not load a model, it is likely that WD Tagger specifically queue_lock (FIFOLock) is concerned with your system's threading and thinks running could cause process starvation...
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# Note: If WD Tagger did not load a model, it is likely that WD Tagger specifically queue_lock (FIFOLock) is concerned with your system's threading and thinks running could cause processes starvation...
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# Note: It would be advisable to download models in the WD tab due to the timeout
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response = requests.post(api_address, json=payload, timeout=120)
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response = requests.post(api_address, json=payload, timeout=120)
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response.raise_for_status()
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response.raise_for_status()
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result = response.json()
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result = response.json()
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