ignore errors in parse for purposes of token counting for #1564
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@ -386,14 +386,22 @@ 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, steps):
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try:
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prompt_schedules = get_learned_conditioning_prompt_schedules([text], steps)
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except Exception:
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# a parsing error can happen here during typing, and we don't want to bother the user with
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# messages related to it in console
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prompt_schedules = [[[steps, text]]]
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flat_prompts = reduce(lambda list1, list2: list1+list2, prompt_schedules)
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prompts = [prompt_text for step,prompt_text in flat_prompts]
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prompts = [prompt_text for step, prompt_text in flat_prompts]
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tokens, token_count, max_length = max([model_hijack.tokenize(prompt) for prompt in prompts], key=lambda args: args[1])
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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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