switched the token counter to use hidden buttons instead of api call
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981fe9c4a3
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@ -1,13 +0,0 @@
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// helper functions
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function debounce(func, wait_time) {
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let timeout;
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return function wrapped(...args) {
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let call_function = () => {
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clearTimeout(timeout);
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func(...args)
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}
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clearTimeout(timeout);
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timeout = setTimeout(call_function, wait_time);
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};
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}
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@ -182,51 +182,21 @@ onUiUpdate(function(){
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});
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json_elem.parentElement.style.display="none"
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let debounce_time = 800
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if (!txt2img_textarea) {
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txt2img_textarea = gradioApp().querySelector("#txt2img_prompt > label > textarea")
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txt2img_textarea?.addEventListener("input", debounce(submit_prompt_text.bind(null, "txt2img"), debounce_time))
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}
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if (!img2img_textarea) {
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img2img_textarea = gradioApp().querySelector("#img2img_prompt > label > textarea")
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img2img_textarea?.addEventListener("input", debounce(submit_prompt_text.bind(null, "img2img"), debounce_time))
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}
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})
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let wait_time = 800
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let token_timeout;
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function txt2img_token_counter(text) {
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return update_token_counter("txt2img_token_button", text);
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}
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let txt2img_textarea, img2img_textarea = undefined;
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function submit_prompt_text(source, e) {
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let prompt_text;
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if (source == "txt2img")
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prompt_text = txt2img_textarea.value;
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else if (source == "img2img")
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prompt_text = img2img_textarea.value;
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if (!prompt_text)
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return;
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params = {
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method: "POST",
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headers: {
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"Accept": "application/json",
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"Content-type": "application/json"
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},
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body: JSON.stringify({data:[prompt_text]})
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function img2img_token_counter(text) {
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return update_token_counter("img2img_token_button", text);
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}
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fetch('http://127.0.0.1:7860/api/tokenize/', params)
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.then((response) => response.json())
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.then((data) => {
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if (data?.data.length) {
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let response_json = data.data[0]
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if (elem = gradioApp().getElementById(source+"_token_counter")) {
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if (response_json.token_count > response_json.max_length)
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elem.classList.add("red");
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else
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elem.classList.remove("red");
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elem.innerText = response_json.token_count + "/" + response_json.max_length;
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}
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}
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})
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.catch((error) => {
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console.error('Error:', error);
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});
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function update_token_counter(button_id, text) {
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if (token_timeout)
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clearTimeout(token_timeout);
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token_timeout = setTimeout(() => gradioApp().getElementById(button_id)?.click(), wait_time);
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return [];
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}
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@ -273,8 +273,7 @@ class StableDiffusionModelHijack:
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def tokenize(self, text):
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max_length = self.clip.max_length - 2
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_, remade_batch_tokens, _, _, _, token_count = self.clip.process_text([text])
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return {"tokens": remade_batch_tokens[0], "token_count":token_count, "max_length":max_length}
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return remade_batch_tokens[0], token_count, max_length
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class FrozenCLIPEmbedderWithCustomWords(torch.nn.Module):
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def __init__(self, wrapped, hijack):
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@ -23,6 +23,7 @@ from modules.shared import opts, cmd_opts
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import modules.shared as shared
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from modules.sd_samplers import samplers, samplers_for_img2img
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from modules.sd_hijack import model_hijack
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from modules.helpers import debounce
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import modules.ldsr_model
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import modules.scripts
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import modules.gfpgan_model
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@ -330,6 +331,10 @@ def connect_reuse_seed(seed: gr.Number, reuse_seed: gr.Button, generation_info:
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outputs=[seed, dummy_component]
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)
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def update_token_counter(text):
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tokens, token_count, max_length = model_hijack.tokenize(text)
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style_class = ' class="red"' if (token_count > max_length) else ""
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return f"<span {style_class}>{token_count}/{max_length}</span>"
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def create_toprow(is_img2img):
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id_part = "img2img" if is_img2img else "txt2img"
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@ -339,15 +344,15 @@ def create_toprow(is_img2img):
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with gr.Row():
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with gr.Column(scale=80):
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", elem_id=id_part+"_prompt", show_label=False, placeholder="Prompt", lines=2)
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prompt = gr.Textbox(label="Prompt", elem_id=f"{id_part}_prompt", show_label=False, placeholder="Prompt", lines=2)
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prompt.change(fn=lambda *args: [], _js=f"{id_part}_token_counter", inputs=[prompt], outputs=[], preprocess=False)
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with gr.Column(scale=1, elem_id="roll_col"):
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roll = gr.Button(value=art_symbol, elem_id="roll", visible=len(shared.artist_db.artists) > 0)
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paste = gr.Button(value=paste_symbol, elem_id="paste")
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token_counter = gr.HTML(value="<span></span>", elem_id=f"{id_part}_token_counter")
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token_output = gr.JSON(visible=False)
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if is_img2img: # only define the api function ONCE
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token_counter.change(fn=model_hijack.tokenize, api_name="tokenize", inputs=[token_counter], outputs=[token_output])
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hidden_button = gr.Button(visible=False, elem_id=f"{id_part}_token_button")
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hidden_button.click(fn=update_token_counter, inputs=[prompt], outputs=[token_counter])
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with gr.Column(scale=10, elem_id="style_pos_col"):
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prompt_style = gr.Dropdown(label="Style 1", elem_id=f"{id_part}_style_index", choices=[k for k, v in shared.prompt_styles.styles.items()], value=next(iter(shared.prompt_styles.styles.keys())), visible=len(shared.prompt_styles.styles) > 1)
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