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| import os | |
| import cv2 | |
| import math | |
| import random | |
| import numpy as np | |
| from PIL import Image | |
| from diffusers.utils import load_image | |
| import gradio as gr | |
| # global variable | |
| MAX_SEED = np.iinfo(np.int32).max | |
| def randomize_seed_fn(seed: int, randomize_seed: bool) -> int: | |
| if randomize_seed: | |
| seed = random.randint(0, MAX_SEED) | |
| return seed | |
| def swap_to_gallery(images): | |
| return gr.update(value=images, visible=True), gr.update(visible=True), gr.update(visible=False) | |
| def upload_example_to_gallery(images, prompt, style, negative_prompt): | |
| return gr.update(value=images, visible=True), gr.update(visible=True), gr.update(visible=False) | |
| def remove_back_to_files(): | |
| return gr.update(visible=False), gr.update(visible=False), gr.update(visible=True) | |
| def remove_tips(): | |
| return gr.update(visible=False) | |
| def generate_image(face_image, pose_image, prompt, negative_prompt, num_steps, identitynet_strength_ratio, adapter_strength_ratio, num_outputs, guidance_scale, seed, progress=gr.Progress(track_tqdm=True)): | |
| if face_image is None: | |
| raise gr.Error(f"Cannot find any input face image! Please upload the face image") | |
| face_image = load_image(face_image[0]) | |
| return [face_image], gr.update(visible=True) | |
| ### Description | |
| title = r""" | |
| <h1 align="center">InstantID: Zero-shot Identity-Preserving Generation in Seconds</h1> | |
| """ | |
| description = r""" | |
| <b>Official 🤗 Gradio demo</b> for <a href='https://github.com/InstantID/InstantID' target='_blank'><b>InstantID: Zero-shot Identity-Preserving Generation in Seconds</b></a>.<br> | |
| How to use:<br> | |
| 1. Upload a person image or cropped face image. For multiple person images, we will only detect the biggest face. Make sure face is in good condition and not significantly blocked or blurred. | |
| 2. (Optionally) upload another person image as reference pose. If not uploaded, we will use the first person image to extract landmarks. | |
| 3. Enter a text prompt as normal text-to-image model. | |
| 4. Click the <b>Submit</b> button to start customizing. | |
| 5. Share your customizd photo with your friends, enjoy😊! | |
| """ | |
| article = r""" | |
| --- | |
| 📝 **Citation** | |
| <br> | |
| If our work is helpful for your research or applications, please cite us via: | |
| ```bibtex | |
| @article{wang2024instantid, | |
| title={InstantID: Zero-shot Identity-Preserving Generation in Seconds}, | |
| author={Wang, Qixun and Bai, Xu and Wang, Haofan and Qin, Zekui and Chen, Anthony}, | |
| journal={arXiv preprint arXiv:2401.07519}, | |
| year={2024} | |
| } | |
| ``` | |
| 📧 **Contact** | |
| <br> | |
| If you have any questions, please feel free to open an issue or directly reach us out at <b>[email protected]</b>. | |
| """ | |
| tips = r""" | |
| ### Usage tips of InstantID | |
| 1. If you're not satisfied with the similarity, scroll down to "Advanced Options" and increase the weight of "IdentityNet Strength" and "Adapter Strength". | |
| 2. If you feel that the saturation is too high, first decrease the Adapter strength. If it is still too high, then decrease the IdentityNet strength. | |
| 3. If you find that text control is not as expected, decrease Adapter strength. | |
| """ | |
| css = ''' | |
| .gradio-container {width: 85% !important} | |
| ''' | |
| with gr.Blocks(css=css) as demo: | |
| # description | |
| gr.Markdown(title) | |
| gr.Markdown(description) | |
| with gr.Row(): | |
| with gr.Column(): | |
| # upload face image | |
| face_files = gr.Files( | |
| label="Upload a photo of your face", | |
| file_types=["image"] | |
| ) | |
| uploaded_faces = gr.Gallery(label="Your images", visible=False, columns=1, rows=1, height=512) | |
| with gr.Column(visible=False) as clear_button_face: | |
| remove_and_reupload_faces = gr.ClearButton(value="Remove and upload new ones", components=face_files, size="sm") | |
| # optional: upload a reference pose image | |
| pose_files = gr.Files( | |
| label="Upload a reference pose image (optional)", | |
| file_types=["image"] | |
| ) | |
| uploaded_poses = gr.Gallery(label="Your images", visible=False, columns=1, rows=1, height=512) | |
| with gr.Column(visible=False) as clear_button_pose: | |
| remove_and_reupload_poses = gr.ClearButton(value="Remove and upload new ones", components=pose_files, size="sm") | |
| # prompt | |
| prompt = gr.Textbox(label="Prompt", | |
| info="Give simple prompt is enough to achieve good face fedility", | |
| placeholder="A photo of a man/woman") | |
| submit = gr.Button("Submit") | |
| with gr.Accordion(open=False, label="Advanced Options"): | |
| negative_prompt = gr.Textbox( | |
| label="Negative Prompt", | |
| placeholder="low quality", | |
| value="nsfw, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry", | |
| ) | |
| num_steps = gr.Slider( | |
| label="Number of sample steps", | |
| minimum=20, | |
| maximum=100, | |
| step=1, | |
| value=30, | |
| ) | |
| identitynet_strength_ratio = gr.Slider( | |
| label="IdentityNet strength", | |
| minimum=0, | |
| maximum=1.5, | |
| step=0.05, | |
| value=0.65, | |
| ) | |
| adapter_strength_ratio = gr.Slider( | |
| label="Image adapter strength", | |
| minimum=0, | |
| maximum=1, | |
| step=0.05, | |
| value=0.30, | |
| ) | |
| num_outputs = gr.Slider( | |
| label="Number of output images", | |
| minimum=1, | |
| maximum=4, | |
| step=1, | |
| value=2, | |
| ) | |
| guidance_scale = gr.Slider( | |
| label="Guidance scale", | |
| minimum=0.1, | |
| maximum=10.0, | |
| step=0.1, | |
| value=5, | |
| ) | |
| seed = gr.Slider( | |
| label="Seed", | |
| minimum=0, | |
| maximum=MAX_SEED, | |
| step=1, | |
| value=42, | |
| ) | |
| randomize_seed = gr.Checkbox(label="Randomize seed", value=True) | |
| with gr.Column(): | |
| gallery = gr.Gallery(label="Generated Images") | |
| usage_tips = gr.Markdown(label="Usage tips of InstantID", value=tips ,visible=False) | |
| face_files.upload(fn=swap_to_gallery, inputs=face_files, outputs=[uploaded_faces, clear_button_face, face_files]) | |
| pose_files.upload(fn=swap_to_gallery, inputs=pose_files, outputs=[uploaded_poses, clear_button_pose, pose_files]) | |
| remove_and_reupload_faces.click(fn=remove_back_to_files, outputs=[uploaded_faces, clear_button_face, face_files]) | |
| remove_and_reupload_poses.click(fn=remove_back_to_files, outputs=[uploaded_poses, clear_button_pose, pose_files]) | |
| submit.click( | |
| fn=remove_tips, | |
| outputs=usage_tips, | |
| ).then( | |
| fn=randomize_seed_fn, | |
| inputs=[seed, randomize_seed], | |
| outputs=seed, | |
| queue=False, | |
| api_name=False, | |
| ).then( | |
| fn=generate_image, | |
| inputs=[face_files, pose_files, prompt, negative_prompt, num_steps, identitynet_strength_ratio, adapter_strength_ratio, num_outputs, guidance_scale, seed], | |
| outputs=[gallery, usage_tips] | |
| ) | |
| gr.Markdown(article) | |
| demo.launch() |