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| import gradio as gr | |
| import requests | |
| import io | |
| import random | |
| import os | |
| from PIL import Image | |
| API_URL = "https://api-inference.huggingface.co/models/Satyam-Singh/LLaVa-Imagine" | |
| API_TOKEN = os.getenv("HF_READ_TOKEN") # it is free | |
| headers = {"Authorization": f"Bearer {API_TOKEN}"} | |
| def query(prompt, is_negative=False, steps=1, cfg_scale=6, seed=None): | |
| payload = { | |
| "inputs": prompt, | |
| "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)) | |
| return image | |
| 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; | |
| } | |
| .gradio-container { | |
| max-width: 730px !important; | |
| 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 {padding-left: 0.5rem !important; padding-right: 0.5rem !important; background-color: #000000; justify-content: center; align-items: center; border-radius: 9999px !important; max-width: 13rem; margin-left: auto;} | |
| div#share-btn-container > div {flex-direction: row;background: black;align-items: center} | |
| #share-btn-container:hover {background-color: #060606} | |
| #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: 0.5rem !important; padding-bottom: 0.5rem !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} | |
| #share-btn-container.hidden {display: none!important} | |
| .gr-form{ | |
| flex: 1 1 50%; border-top-right-radius: 0; border-bottom-right-radius: 0; | |
| } | |
| #prompt-container{ | |
| gap: 0; | |
| } | |
| #prompt-container .form{ | |
| border-top-right-radius: 0; | |
| border-bottom-right-radius: 0; | |
| } | |
| #gen-button{ | |
| border-top-left-radius:0; | |
| border-bottom-left-radius: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} | |
| .tabitem{border: 0 !important} | |
| """ | |
| with gr.Blocks(css=css, theme="pseudolab/huggingface-korea-theme") as llava: | |
| 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"> | |
| DALL•E 3 XL | |
| </h1> | |
| </div> | |
| <p style="margin-bottom: 10px; font-size: 94%; line-height: 23px;"> | |
| This space demonstrates the work of the model <a style="text-decoration: underline;" href="https://huggingface.co/Satyam-Singh/LLaVa-Imagine">Satyam-Singh/LLaVa-Imagine</a>. | |
| </p> | |
| </div> | |
| """ | |
| ) | |
| with gr.Row(): | |
| image_output = gr.Image(type="pil", label="Output Image", elem_id="gallery") | |
| with gr.Column(elem_id="prompt-container"): | |
| text_prompt = gr.Textbox(label="Prompt", placeholder="a cute cat", lines=1, elem_id="prompt-text-input") | |
| text_button = gr.Button("Generate", variant='primary', elem_id="gen-button") | |
| with gr.Accordion("Advanced settings", open=False): | |
| negative_prompt = gr.Textbox(label="Negative Prompt", value="text, blurry, fuzziness", lines=1, elem_id="negative-prompt-text-input") | |
| text_button.click(query, inputs=[text_prompt, negative_prompt], outputs=image_output) | |
| llava.launch(show_api=True) |