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| import io | |
| import numpy as np | |
| import panel as pn | |
| import param | |
| import PIL | |
| import requests | |
| import torch | |
| from diffusers import StableDiffusionInstructPix2PixPipeline | |
| pn.extension('texteditor', template="bootstrap", sizing_mode='stretch_width') | |
| pn.state.template.param.update( | |
| main_max_width="690px", | |
| header_background="#F08080", | |
| ) | |
| model_id = "timbrooks/instruct-pix2pix" | |
| pipe = StableDiffusionInstructPix2PixPipeline.from_pretrained( | |
| model_id, torch_dtype=torch.float16 | |
| ).to("cuda") | |
| def normalize_image(value, width): | |
| """ | |
| normalize image to RBG channels and to the same size | |
| """ | |
| b = io.BytesIO(value) | |
| image = PIL.Image.open(b).convert("RGB") | |
| aspect = image.size[1] / image.size[0] | |
| height = int(aspect * width) | |
| return image.resize((width, height), PIL.Image.LANCZOS) | |
| def new_image(prompt, image, img_guidance, guidance, steps, width=600): | |
| edit = pipe( | |
| prompt, | |
| image=image, | |
| image_guidance_scale=img_guidance, | |
| guidance_scale=guidance, | |
| num_inference_steps=steps, | |
| ).images[0] | |
| return edit | |
| file_input = pn.widgets.FileInput(width=600) | |
| prompt = pn.widgets.TextEditor( | |
| value="", placeholder="Enter image editing instruction here...", height=160, toolbar=False | |
| ) | |
| img_guidance = pn.widgets.DiscreteSlider( | |
| name="Image guidance scale", options=list(np.arange(1, 10.5, 0.5)), value=1.5 | |
| ) | |
| guidance = pn.widgets.DiscreteSlider( | |
| name="Guidance scale", options=list(np.arange(1, 10.5, 0.5)), value=7 | |
| ) | |
| steps = pn.widgets.IntSlider( | |
| name="Inference Steps", start=1, end=100, step=1, value=20 | |
| ) | |
| run_button = pn.widgets.Button(name="Run!") | |
| widgets = pn.Row( | |
| pn.Column(prompt, run_button, margin=5), | |
| pn.Card( | |
| pn.Column(img_guidance, guidance, steps), | |
| title="Advanced settings", margin=10 | |
| ), width=600 | |
| ) | |
| # define global variables to keep track of things | |
| convos = [] # store all panel objects in a list | |
| image = None | |
| filename = None | |
| def get_conversations(_, img, img_guidance, guidance, steps, width=600): | |
| """ | |
| Get all the conversations in a Panel object | |
| """ | |
| global image, filename | |
| prompt_text = prompt.value | |
| prompt.value = "" | |
| # if the filename changes, open the image again | |
| if filename != file_input.filename: | |
| filename = file_input.filename | |
| image = normalize_image(file_input.value, width) | |
| convos.clear() | |
| # if there is a prompt run output | |
| if prompt_text: | |
| image = new_image(prompt_text, image, img_guidance, guidance, steps) | |
| convos.extend([ | |
| pn.Row( | |
| pn.panel("\U0001F60A", width=10), | |
| prompt_text, | |
| width=600 | |
| ), | |
| pn.Row( | |
| pn.panel(image, align='end', width=500), | |
| pn.panel("\U0001F916", width=10), | |
| align='end' | |
| ) | |
| ]) | |
| return pn.Column(*convos, margin=15, width=575) | |
| # bind widgets to functions | |
| interactive_upload = pn.panel(pn.bind(pn.panel, file_input, width=575, min_height=400, margin=15)) | |
| interactive_conversation = pn.panel( | |
| pn.bind( | |
| get_conversations, run_button, file_input, img_guidance, guidance, steps | |
| ), loading_indicator=True | |
| ) | |
| # layout | |
| pn.Column( | |
| "## \U0001F60A Upload an image file and start editing!", | |
| file_input, | |
| interactive_upload, | |
| interactive_conversation, | |
| widgets | |
| ).servable(title="Stable Diffusion InstructPix2pix Image Editing Chatbot") |