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import os |
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import torch |
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import gradio as gr |
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import spaces |
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import random |
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import numpy as np |
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from diffusers.utils import logging |
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from PIL import Image |
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from diffusers import OvisImagePipeline |
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logging.set_verbosity_error() |
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MAX_SEED = np.iinfo(np.int32).max |
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device = "cuda" if torch.cuda.is_available() else "cpu" |
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_dtype = torch.bfloat16 |
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hf_token = os.getenv("HF_TOKEN") |
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pipe = OvisImagePipeline.from_pretrained( |
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"AIDC-AI/Ovis-Image-7B", |
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token=hf_token, |
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torch_dtype=torch.bfloat16 |
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) |
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pipe.to(device) |
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def generate(prompt, img_height=1024, img_width=1024, seed=42, steps=50, guidance_scale=5.0): |
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print(f'inference with prompt : {prompt}, size: {img_height}x{img_width}, seed : {seed}, step : {steps}, cfg : {guidance_scale}') |
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generator = torch.Generator().manual_seed(seed) |
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image = pipe( |
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prompt, |
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negative_prompt="", |
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height=img_height, |
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width=img_width, |
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num_inference_steps=steps, |
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true_cfg_scale=guidance_scale, |
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generator=generator, |
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).images[0] |
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return image |
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examples = [ |
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"Child lying on bed with balloons, streamers, and plush toys, surreal dreamlike scene. Close-up, centered on the child and surrounding objects. Soft, diffused lighting.", |
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"A trendy, playful 3D render of the text \"OVIS-IMAGE\" designed as glossy, inflated balloon letters. The typography is bubbly and rounded. The material is a shiny, reflective plastic in vibrant Alibaba Orange. The text is floating in a bright, clean white studio space with soft pastel lighting. There are subtle reflections of the studio softboxes on the curves of the balloons. High-fashion retail aesthetic, pop art style, C4D render, cute and energetic.", |
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"一张写实风格的现代化教室场景摄影图。画面焦点集中在前方墙壁正中央的一块洁白明亮的白板上，白板上用清晰、工整的黑色马克笔手写体写着多行文字：最上方是巨大的英文标题“OVIS-IMAGE”，紧接着下方依次分行写着中文说明：“7B文生图模型”、“无需专有模型即可实现双语渲染”、“可在消费级显卡部署”。白板下方的铝合金笔槽内摆放着几支直立或横躺的彩色白板笔（蓝、红、黄、绿）。前景是两位背对镜头的学生（呈虚化状态，营造景深感），坐在木质课桌前，右侧课桌上还放着一块折叠的棕色毛巾。左侧隐约可见部分绿色黑板，顶部有一盏明亮的长条日光灯提供照明。整体光线柔和自然，构图对称，对焦精准在白板文字上，营造出真实的教育和技术演示氛围。", |
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"微距摄影，一只鲜艳的红色瓢虫停留在翠绿的叶子上，特写镜头。叶子表面分布着晶莹剔透的水珠（晨露），瓢虫红色的甲壳光滑如镜，反射着柔和的自然光，能够清晰看到瓢虫腿部和触角的细微纹理。背景是梦幻的绿色虚化（散景），突显主体，极度逼真，8k分辨率，高清晰度，电影级质感。", |
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] |
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css=""" |
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#col-container { |
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margin: 0 auto; |
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max-width: 520px; |
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} |
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""" |
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with gr.Blocks(css=css) as demo: |
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with gr.Column(elem_id="col-container"): |
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gr.Markdown(f"""# Ovis-Image |
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Built upon [Ovis-U1](https://huggingface.co/spaces/AIDC-AI/Ovis-U1-3B), Ovis-Image is a 7B text-to-image model specifically optimized for high-quality text rendering under stringent computational constraints. |
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[[code](https://github.com/AIDC-AI/Ovis-Image)] [[model](https://huggingface.co/AIDC-AI/Ovis-Image-7B)] |
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""") |
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with gr.Row(): |
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prompt = gr.Text( |
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label="Prompt", |
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show_label=False, |
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max_lines=1, |
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placeholder="Enter your prompt here", |
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container=False, |
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) |
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run_button = gr.Button("Run", scale=0) |
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result = gr.Image(label="Result", show_label=False) |
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with gr.Accordion("Advanced Settings", open=False): |
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with gr.Row(): |
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img_height = gr.Slider( |
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label="Image Height", |
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minimum=256, |
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maximum=2048, |
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step=32, |
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value=1024, |
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) |
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img_width = gr.Slider( |
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label="Image Width", |
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minimum=256, |
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maximum=2048, |
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step=32, |
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value=1024, |
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) |
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with gr.Row(): |
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guidance_scale = gr.Slider( |
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label="Guidance Scale", |
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minimum=1, |
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maximum=14, |
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step=0.1, |
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value=5.0, |
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) |
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num_inference_steps = gr.Slider( |
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label="Number of inference steps", |
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minimum=1, |
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maximum=100, |
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step=1, |
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value=50, |
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) |
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seed = gr.Slider( |
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label="Seed", |
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minimum=0, |
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maximum=MAX_SEED, |
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step=1, |
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value=42, |
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) |
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gr.Examples( |
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examples = examples, |
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fn = generate, |
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inputs = [prompt], |
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outputs = [result], |
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cache_examples="lazy" |
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) |
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gr.on( |
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triggers=[run_button.click, prompt.submit], |
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fn = generate, |
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inputs = [prompt, img_height, img_width, seed, num_inference_steps, guidance_scale], |
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outputs = [result] |
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) |
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if __name__ == '__main__': |
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demo.launch() |
