gokaygokay
commited on
Commit
•
e33e382
1
Parent(s):
6baafd5
Update app.py
Browse files
app.py
CHANGED
@@ -288,16 +288,17 @@ class PromptGenerator:
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components.append(f"by {self.get_choice(kwargs.get('artist', ''), ARTIST)}")
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components.append("BREAK_CLIPL")
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if input_image is not None:
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caption = florence_caption(input_image)
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components.append(f" {caption}")
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-
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prompt = " ".join(components)
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prompt = re.sub(" +", " ", prompt)
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replaced = prompt.replace("of as", "of")
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replaced = self.clean_consecutive_commas(replaced)
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return self.process_string(replaced, seed)
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class HuggingFaceInferenceNode:
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def __init__(self):
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@@ -406,8 +407,11 @@ def create_interface():
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background = gr.Dropdown(["disabled", "random"] + BACKGROUND, label="Background", value="random")
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with gr.Column():
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input_image = gr.Image(label="Input Image (optional)")
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generate_button = gr.Button("Generate Prompt")
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output = gr.Textbox(label="Generated Prompt / Input Text", lines=5)
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t5xxl_output = gr.Textbox(label="T5XXL Output", visible=True)
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clip_l_output = gr.Textbox(label="CLIP L Output", visible=True)
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clip_g_output = gr.Textbox(label="CLIP G Output", visible=True)
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@@ -424,14 +428,31 @@ def create_interface():
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generate_text_button = gr.Button("Generate Text")
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text_output = gr.Textbox(label="Generated Text", lines=10)
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generate_button.click(
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prompt_generator.generate_prompt,
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inputs=[seed, custom, subject, artform, photo_type, body_types, default_tags, roles, hairstyles,
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additional_details, photography_styles, device, photographer, artist, digital_artform,
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place, lighting, clothing, composition, pose, background
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outputs=[output, gr.Number(visible=False), t5xxl_output, clip_l_output, clip_g_output]
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)
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generate_text_button.click(
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huggingface_node.generate,
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inputs=[model, output, happy_talk, compress, compression_level, poster, custom_base_prompt],
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components.append(f"by {self.get_choice(kwargs.get('artist', ''), ARTIST)}")
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components.append("BREAK_CLIPL")
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prompt = " ".join(components)
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prompt = re.sub(" +", " ", prompt)
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replaced = prompt.replace("of as", "of")
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replaced = self.clean_consecutive_commas(replaced)
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return self.process_string(replaced, seed)
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+
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+
def add_caption_to_prompt(self, prompt, caption):
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if caption:
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return f"{prompt} {caption}"
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return prompt
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class HuggingFaceInferenceNode:
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def __init__(self):
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background = gr.Dropdown(["disabled", "random"] + BACKGROUND, label="Background", value="random")
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with gr.Column():
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input_image = gr.Image(label="Input Image (optional)")
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caption_output = gr.Textbox(label="Generated Caption", lines=3)
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create_caption_button = gr.Button("Create Caption")
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generate_button = gr.Button("Generate Prompt")
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output = gr.Textbox(label="Generated Prompt / Input Text", lines=5)
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add_caption_button = gr.Button("Add Caption to Prompt")
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t5xxl_output = gr.Textbox(label="T5XXL Output", visible=True)
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clip_l_output = gr.Textbox(label="CLIP L Output", visible=True)
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clip_g_output = gr.Textbox(label="CLIP G Output", visible=True)
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generate_text_button = gr.Button("Generate Text")
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text_output = gr.Textbox(label="Generated Text", lines=10)
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+
def create_caption(image):
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if image is not None:
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return florence_caption(image)
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return ""
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create_caption_button.click(
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create_caption,
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inputs=[input_image],
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outputs=[caption_output]
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)
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generate_button.click(
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prompt_generator.generate_prompt,
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inputs=[seed, custom, subject, artform, photo_type, body_types, default_tags, roles, hairstyles,
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additional_details, photography_styles, device, photographer, artist, digital_artform,
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place, lighting, clothing, composition, pose, background],
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outputs=[output, gr.Number(visible=False), t5xxl_output, clip_l_output, clip_g_output]
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)
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add_caption_button.click(
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prompt_generator.add_caption_to_prompt,
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inputs=[output, caption_output],
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outputs=[output]
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)
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generate_text_button.click(
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huggingface_node.generate,
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inputs=[model, output, happy_talk, compress, compression_level, poster, custom_base_prompt],
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