ui/shared/hires_fix_ui.py

import gradio as gr
from core.settings import MODEL_MAP_CHECKPOINT
from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES
from .ui_components import (
    create_lora_settings_ui,
    create_controlnet_ui, create_diffsynth_controlnet_ui, create_embedding_ui,
    create_conditioning_ui, create_vae_override_ui, create_api_key_ui
)

def create_ui():
    prefix = "hires_fix"
    components = {}
    
    with gr.Column():
        with gr.Row():
            components[f'base_model_{prefix}'] = gr.Dropdown(
                label="Base Model", 
                choices=list(MODEL_MAP_CHECKPOINT.keys()), 
                value=list(MODEL_MAP_CHECKPOINT.keys())[0], 
                scale=3
            )
            with gr.Column(scale=1): 
                components[f'run_{prefix}'] = gr.Button("Run Hires. Fix", variant="primary")
        
        with gr.Row():
            with gr.Column(scale=1):
                components[f'input_image_{prefix}'] = gr.Image(type="pil", label="Input Image", height=255)
            with gr.Column(scale=2):
                components[f'prompt_{prefix}'] = gr.Text(label="Prompt", lines=3, placeholder="Describe the final image...")
                components[f'neg_prompt_{prefix}'] = gr.Text(label="Negative prompt", lines=3, value="")

        with gr.Row():
            with gr.Column(scale=1):
                with gr.Row():
                    components[f'hires_upscaler_{prefix}'] = gr.Dropdown(
                        label="Upscaler", 
                        choices=["nearest-exact", "bilinear", "area", "bicubic", "bislerp"], 
                        value="nearest-exact"
                    )
                    components[f'hires_scale_by_{prefix}'] = gr.Slider(
                        label="Upscale by", minimum=1.0, maximum=4.0, step=0.1, value=1.5
                    )
                
                with gr.Row():
                    components[f'denoise_{prefix}'] = gr.Slider(label="Denoise Strength", minimum=0.0, maximum=1.0, step=0.01, value=0.55)
                
                with gr.Row():
                    components[f'sampler_{prefix}'] = gr.Dropdown(label="Sampler", choices=SAMPLER_CHOICES, value="res_multistep")
                    components[f'scheduler_{prefix}'] = gr.Dropdown(label="Scheduler", choices=SCHEDULER_CHOICES, value="simple")
                with gr.Row():
                    components[f'steps_{prefix}'] = gr.Slider(label="Steps", minimum=1, maximum=100, step=1, value=9)
                    components[f'cfg_{prefix}'] = gr.Slider(label="CFG Scale", minimum=1.0, maximum=20.0, step=0.1, value=1.0)
                with gr.Row():
                    components[f'seed_{prefix}'] = gr.Number(label="Seed (-1 for random)", value=-1, precision=0)
                    components[f'batch_size_{prefix}'] = gr.Slider(label="Batch Size", minimum=1, maximum=16, step=1, value=1)
                with gr.Row():
                    components[f'zero_gpu_{prefix}'] = gr.Number(label="ZeroGPU Duration (s)", value=None, placeholder="Default: 60s, Max: 120s", info="Optional: Set how long to reserve the GPU.")

                components[f'clip_skip_{prefix}'] = gr.State(value=1)
                components[f'width_{prefix}'] = gr.State(value=512)
                components[f'height_{prefix}'] = gr.State(value=512)

            with gr.Column(scale=1):
                components[f'result_{prefix}'] = gr.Gallery(label="Result", show_label=False, columns=1, object_fit="contain", height=610)

        components.update(create_api_key_ui(prefix))
        components.update(create_lora_settings_ui(prefix))
        components.update(create_diffsynth_controlnet_ui(prefix))
        # components.update(create_controlnet_ui(prefix))
        # components.update(create_embedding_ui(prefix))
        components.update(create_conditioning_ui(prefix))
        # components.update(create_vae_override_ui(prefix))
            
    return components