113 lines
5.4 KiB
Python
113 lines
5.4 KiB
Python
import gradio as gr
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import modules.path
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import random
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import fooocus_version
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import modules.default_pipeline as pipeline
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from modules.sdxl_styles import apply_style, style_keys, aspect_ratios
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from modules.cv2win32 import close_all_preview, save_image
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from modules.util import generate_temp_filename
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def generate_clicked(prompt, negative_prompt, style_selction, performance_selction,
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aspect_ratios_selction, image_number, image_seed, base_model_name, refiner_model_name,
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l1, w1, l2, w2, l3, w3, l4, w4, l5, w5, progress=gr.Progress()):
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loras = [(l1, w1), (l2, w2), (l3, w3), (l4, w4), (l5, w5)]
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pipeline.refresh_base_model(base_model_name)
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pipeline.refresh_refiner_model(refiner_model_name)
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pipeline.refresh_loras(loras)
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p_txt, n_txt = apply_style(style_selction, prompt, negative_prompt)
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if performance_selction == 'Speed':
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steps = 30
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switch = 20
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else:
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steps = 60
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switch = 40
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width, height = aspect_ratios[aspect_ratios_selction]
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results = []
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seed = image_seed
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if not isinstance(seed, int) or seed < 0 or seed > 65535:
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seed = random.randint(1, 65535)
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all_steps = steps * image_number
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def callback(step, x0, x, total_steps):
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done_steps = i * steps + step
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progress(float(done_steps) / float(all_steps), f'Step {step}/{total_steps} in the {i}-th Sampling')
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for i in range(image_number):
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imgs = pipeline.process(p_txt, n_txt, steps, switch, width, height, seed, callback=callback)
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for x in imgs:
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local_temp_filename = generate_temp_filename(folder=modules.path.temp_outputs_path, extension='png')
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save_image(local_temp_filename, x)
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seed += 1
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results += imgs
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close_all_preview()
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return results
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block = gr.Blocks(title='Fooocus ' + fooocus_version.version).queue()
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with block:
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with gr.Row():
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with gr.Column():
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gallery = gr.Gallery(label='Gallery', show_label=False, object_fit='contain', height=720)
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with gr.Row():
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with gr.Column(scale=0.85):
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prompt = gr.Textbox(show_label=False, placeholder="Type prompt here.", container=False, autofocus=True)
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with gr.Column(scale=0.15, min_width=0):
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run_button = gr.Button(label="Generate", value="Generate")
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with gr.Row():
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advanced_checkbox = gr.Checkbox(label='Advanced', value=False, container=False)
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with gr.Column(scale=0.5, visible=False) as right_col:
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with gr.Tab(label='Setting'):
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performance_selction = gr.Radio(label='Performance', choices=['Speed', 'Quality'], value='Speed')
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aspect_ratios_selction = gr.Radio(label='Aspect Ratios (width × height)', choices=list(aspect_ratios.keys()),
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value='1152×896')
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image_number = gr.Slider(label='Image Number', minimum=1, maximum=32, step=1, value=2)
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image_seed = gr.Number(label='Random Seed', value=-1, precision=0)
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negative_prompt = gr.Textbox(label='Negative Prompt', show_label=True, placeholder="Type prompt here.")
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with gr.Tab(label='Style'):
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style_selction = gr.Radio(show_label=False, container=True,
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choices=style_keys, value='cinematic-default')
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with gr.Tab(label='Advanced'):
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with gr.Row():
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base_model = gr.Dropdown(label='SDXL Base Model', choices=modules.path.model_filenames, value=modules.path.default_base_model_name, show_label=True)
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refiner_model = gr.Dropdown(label='SDXL Refiner', choices=['None'] + modules.path.model_filenames, value=modules.path.default_refiner_model_name, show_label=True)
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with gr.Accordion(label='LoRAs', open=True):
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lora_ctrls = []
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for i in range(5):
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with gr.Row():
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lora_model = gr.Dropdown(label=f'SDXL LoRA {i+1}', choices=['None'] + modules.path.lora_filenames, value=modules.path.default_lora_name if i == 0 else 'None')
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lora_weight = gr.Slider(label='Weight', minimum=-2, maximum=2, step=0.01, value=modules.path.default_lora_weight)
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lora_ctrls += [lora_model, lora_weight]
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model_refresh = gr.Button(label='Refresh', value='Refresh All Files', variant='secondary')
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def model_refresh_clicked():
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modules.path.update_all_model_names()
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results = []
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results += [gr.update(choices=modules.path.model_filenames), gr.update(choices=['None'] + modules.path.model_filenames)]
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for i in range(5):
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results += [gr.update(choices=['None'] + modules.path.lora_filenames), gr.update()]
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return results
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model_refresh.click(model_refresh_clicked, [], [base_model, refiner_model] + lora_ctrls)
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advanced_checkbox.change(lambda x: gr.update(visible=x), advanced_checkbox, right_col)
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ctrls = [
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prompt, negative_prompt, style_selction,
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performance_selction, aspect_ratios_selction, image_number, image_seed
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]
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ctrls += [base_model, refiner_model] + lora_ctrls
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run_button.click(fn=generate_clicked, inputs=ctrls, outputs=[gallery])
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block.launch(inbrowser=True)
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