added button to grab the width and height from the loaded image in img2img

	"UniPC": "Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models",

	"DPM adaptive": "Ignores step count - uses a number of steps determined by the CFG and resolution", 

    "\u{1F4D0}": "Auto detect size from img2img",

	"Batch count": "How many batches of images to create (has no impact on generation performance or VRAM usage)",

	"Batch size": "How many image to create in a single batch (increases generation performance at cost of higher VRAM usage)",

    "CFG Scale": "Classifier Free Guidance Scale - how strongly the image should conform to prompt - lower values produce more creative results",

clear_prompt_symbol = '\U0001F5D1'  # 🗑️

extra_networks_symbol = '\U0001F3B4'  # 🎴

switch_values_symbol = '\U000021C5' # ⇅

detect_image_size_symbol = '\U0001F4D0'  # 📐

def plaintext_to_html(text):

    return ui_common.plaintext_to_html(text)

                                width = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512, elem_id="img2img_width")

                                height = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512, elem_id="img2img_height")

                            detect_image_size_btn = ToolButton(value=detect_image_size_symbol, elem_id="img2img_detect_image_size_btn")

                            res_switch_btn = ToolButton(value=switch_values_symbol, elem_id="img2img_res_switch_btn")

                            if opts.dimensions_and_batch_together:

                                with gr.Column(elem_id="img2img_column_batch"):

                                    batch_count = gr.Slider(minimum=1, step=1, label='Batch count', value=1, elem_id="img2img_batch_count")

            img2img_prompt.submit(**img2img_args)

            submit.click(**img2img_args)

            detect_image_size_btn.click(lambda i, w, h : i.size if i is not None else (w, h), inputs=[init_img, width, height], outputs=[width, height])

            res_switch_btn.click(lambda w, h: (h, w), inputs=[width, height], outputs=[width, height])

            img2img_interrogate.click(