| import gradio as gr |
| import requests |
| import io |
| import re |
| import random |
| import os |
| from PIL import Image |
| from datasets import load_dataset |
| from huggingface_hub import login |
|
|
| login(token=os.getenv("HF_READ_TOKEN")) |
|
|
| API_URL = "https://api-inference.huggingface.co/models/openskyml/open-diffusion-v1" |
| API_TOKEN = os.getenv("HF_READ_TOKEN") |
| headers = {"Authorization": f"Bearer {API_TOKEN}"} |
|
|
| word_list_dataset = load_dataset("openskyml/bad-words-prompt-list", data_files="en.txt", use_auth_token=True) |
| word_list = word_list_dataset["train"]['text'] |
|
|
| def query(prompt, is_negative=False, steps=7, cfg_scale=7, seed=None, num_images=4): |
| for filter in word_list: |
| if re.search(rf"\b{filter}\b", prompt): |
| raise gr.Error("Unsafe content found. Please try again with different prompts.") |
| images = [] |
| |
| for _ in range(num_images): |
| payload = { |
| "inputs": prompt + ", 8k", |
| "is_negative": is_negative, |
| "steps": steps, |
| "cfg_scale": cfg_scale, |
| "seed": seed if seed is not None else random.randint(-1, 2147483647) |
| } |
| |
| image_bytes = requests.post(API_URL, headers=headers, json=payload).content |
| image = Image.open(io.BytesIO(image_bytes)) |
| |
| images.append(image) |
|
|
| return images |
|
|
|
|
| css = """ |
| .gradio-container { |
| font-family: 'IBM Plex Sans', sans-serif; |
| } |
| .gr-button { |
| color: white; |
| border-color: black; |
| background: black; |
| } |
| input[type='range'] { |
| accent-color: black; |
| } |
| .dark input[type='range'] { |
| accent-color: #dfdfdf; |
| } |
| .container { |
| max-width: 730px; |
| margin: auto; |
| padding-top: 1.5rem; |
| } |
| #gallery { |
| min-height: 22rem; |
| margin-bottom: 15px; |
| margin-left: auto; |
| margin-right: auto; |
| border-bottom-right-radius: .5rem !important; |
| border-bottom-left-radius: .5rem !important; |
| } |
| #gallery>div>.h-full { |
| min-height: 20rem; |
| |
| } |
| .details:hover { |
| text-decoration: underline; |
| } |
| .gr-button { |
| white-space: nowrap; |
| } |
| .gr-button:focus { |
| border-color: rgb(147 197 253 / var(--tw-border-opacity)); |
| outline: none; |
| box-shadow: var(--tw-ring-offset-shadow), var(--tw-ring-shadow), var(--tw-shadow, 0 0 #0000); |
| --tw-border-opacity: 1; |
| --tw-ring-offset-shadow: var(--tw-ring-inset) 0 0 0 var(--tw-ring-offset-width) var(--tw-ring-offset-color); |
| --tw-ring-shadow: var(--tw-ring-inset) 0 0 0 calc(3px var(--tw-ring-offset-width)) var(--tw-ring-color); |
| --tw-ring-color: rgb(191 219 254 / var(--tw-ring-opacity)); |
| --tw-ring-opacity: .5; |
| } |
| #advanced-btn { |
| font-size: .7rem !important; |
| line-height: 19px; |
| margin-top: 12px; |
| margin-bottom: 12px; |
| padding: 2px 8px; |
| border-radius: 14px !important; |
| } |
| #advanced-options { |
| display: none; |
| margin-bottom: 20px; |
| } |
| .footer { |
| margin-bottom: 45px; |
| margin-top: 35px; |
| text-align: center; |
| border-bottom: 1px solid #e5e5e5; |
| } |
| .footer>p { |
| font-size: .8rem; |
| display: inline-block; |
| padding: 0 10px; |
| transform: translateY(10px); |
| background: white; |
| } |
| .dark .footer { |
| border-color: #303030; |
| } |
| .dark .footer>p { |
| background: #0b0f19; |
| } |
| .acknowledgments h4{ |
| margin: 1.25em 0 .25em 0; |
| font-weight: bold; |
| font-size: 115%; |
| } |
| .animate-spin { |
| animation: spin 1s linear infinite; |
| } |
| @keyframes spin { |
| from { |
| transform: rotate(0deg); |
| } |
| to { |
| transform: rotate(360deg); |
| } |
| } |
| #share-btn-container { |
| display: flex; padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; width: 13rem; |
| margin-top: 10px; |
| margin-left: auto; |
| } |
| #share-btn { |
| all: initial; color: #ffffff;font-weight: 600; cursor:pointer; font-family: 'IBM Plex Sans', sans-serif; margin-left: 0.5rem !important; padding-top: 0.25rem !important; padding-bottom: 0.25rem !important;right:0; |
| } |
| #share-btn * { |
| all: unset; |
| } |
| #share-btn-container div:nth-child(-n+2){ |
| width: auto !important; |
| min-height: 0px !important; |
| } |
| #share-btn-container .wrap { |
| display: none !important; |
| } |
| .gr-form{ |
| flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; |
| } |
| #prompt-container{ |
| gap: 0; |
| } |
| #prompt-text-input, #negative-prompt-text-input{padding: .45rem 0.625rem} |
| #component-16{border-top-width: 1px!important;margin-top: 1em} |
| .image_duplication{position: absolute; width: 100px; left: 50px} |
| """ |
|
|
| with gr.Blocks(css=css) as demo: |
| gr.HTML( |
| """ |
| <div style="text-align: center; margin: 0 auto;"> |
| <div |
| style=" |
| display: inline-flex; |
| align-items: center; |
| gap: 0.8rem; |
| font-size: 1.75rem; |
| " |
| > |
| <h1 style="font-weight: 900; margin-bottom: 7px;margin-top:5px"> |
| Open Diffusion 1.0 Demo |
| </h1> |
| </div> |
| </div> |
| """ |
| ) |
| with gr.Group(): |
| |
| with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True): |
| with gr.Column(): |
| gallery_output = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[4], height="auto") |
| with gr.Row(): |
| with gr.Column(): |
| text_prompt = gr.Textbox(show_label=False, placeholder="Enter your prompt", max_lines=1) |
| negative_prompt = gr.Textbox(show_label=False, placeholder="Enter a negative", max_lines=1) |
| text_button = gr.Button("Generate") |
|
|
| |
| |
| text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=gallery_output) |
|
|
| demo.launch(show_api=False) |
