GPT Image 2.5 作品展示
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GPT Image-2 - Text to Image
生成一个MG风格的流程图:发电设施将一次能源(煤、天然气、水能、风能、太阳能)转化为电力产品,销售给电网企业。简洁一点,淡蓝色系。
GPT Image-2 - Text to Image
Vertical competition design board, 80:290 ratio, children’s AI aesthetic education interaction system, based on Mirror Theory and embodied cognition, extremely dense research collage composition. No central guiding line. Composition strictly divided into 1:1:4 vertical structure (top concept / middle theory / bottom system-dense field). Continuous visual flow without explicit separators. Overall style: research atlas graphics, editorial infographic overload, academic exhibition board, interaction design biennale presentation, scientific collage mapping, architectural notation diagrams. Visual language: paper collage texture, scanned academic book fragments, photocopied overlays, cutout children photography integrated into diagrams, thin technical annotation lines, micro labels, numbered diagram systems, overlapping vector diagrams, architectural research sketches. Color palette: muted dusty academic tones background: #F6F0EB text/grid: #6D7285 system diagrams: #9CABB6 technical overlays: #C7D4E4 emotional highlights: #F6CFC1 secondary accents: #F3DDD5 Composition: extremely dense layout, minimal empty space, controlled visual clutter, asymmetrical clustering, layered transparency, overlapping information systems. Every area contains multiple layers: diagram + annotation + data + image + texture. TOP (1): Concept collage field, children cutout photography blended with mirrored digital traces, sketch overlays, reflective perception between child drawing gesture and AI response, abstract mirror logic visualized through soft circular structures. MIDDLE (1): Theoretical research cluster. Mirror Theory as circular feedback diagram with recursive loops. Embodied cognition as body-action-perception vector network. Expression–response interaction loop as multi-node circular system with numbered stages. All diagrams tightly interwoven. BOTTOM (4): Highly dense system field. Includes: behavioral research of children (attention span, engagement patterns) STEAM education statistics (timeline + bar + line hybrids) drawing interest decline curve across age (smooth analytical graph with annotations) YOLO-based recognition pipeline diagrams skeletal tracking vector diagrams gesture-to-action mapping systems interaction storyboard UI fragments cutout children photography embedded into system flow classroom + home application architectural diagrams minimal validation comparison charts Interaction system visualized as continuous storyboard loop: drawing input → recognition → generation → motion mapping → emotional feedback, repeated in overlapping micro-cycles. Aesthetic: warm, soft futuristic, emotionally intelligent, minimal yet extremely information-dense, high-end academic research presentation, vintage scientific print texture, editorial design precision. Lighting: soft diffuse paper lighting, subtle shadows, scanned texture feel. No empty space, no clean minimal layout, no single focal center. Entire board behaves as a saturated analytical research ecosystem.
GPT Image-2 - Text to Image
An ultra-high-definition, hyper-realistic cinematic photograph of a breathtaking sunset over a winding, emerald river in rural China, reminiscent of a scene from a feature film, the composition masterfully blending all elements to convey a profound sense of peace and life's enduring rhythm (烟火气息), shot on a wide-angle, anamorphic lens capturing a deep, layered perspective, with soft, volumetric light filtering through scattered clouds creating sunbeams and a warm, golden-orange haze that bathes the entire landscape. In the mid-ground, a traditional Chinese stone arch bridge spans the small river, upon which a lone elderly farmer wearing a conical straw hat leads a water buffalo, both rendered in sharp, dramatic silhouette against the blazing orb of the setting sun that is a huge, orange disc half-merged with the distant, towering karst mountain ranges whose jagged peaks are silhouetted in deep indigo and violet tones, creating a sense of ancient scale and permanence. From a cluster of white-walled, black-tiled traditional village houses nestled among trees on the riverbank, a thin, persistent trail of wood smoke rises, catching the low-angle, warm, backlighting and creating a ethereal, smoky veil over the scene, while tiny, flickering, warm-white lights from lanterns on small wooden fishing boats tied along the bank begin to appear, casting long, wavering reflections in the shimmering, sun-dappled water that creates leading lines guiding the eye from the foreground to the sun, all enveloped in the rich, deep gradient of the sunset sky ranging from fiery orange and deep rose pink to a profound, velvety violet-blue above, the atmosphere thick with depth and emotion, rendered with a beautiful, cinematic lens flare, highly detailed textures on the stone bridge, the buffalo's coat, the water, and the smoke, making it a true masterpiece, 8k resolution, National Geographic style photography, exquisite color grading, perfectly balanced composition.
GPT Image-2 - Text to Image
画面风格：3D写实风格，UE5渲染，细节超高清。根据以下角色描述，生成一张纯白背景的角色三视图设定表，清晰展示角色的正面、侧面、背面标准正交视图。要求服装、发型、配饰等所有细节在三个视角中完全一致。角色描述如下：清冷道门修士为核心人物，五官清隽立体，冷白肌肤微光流转，鸦青色长发束于发冠，几缕碎发垂落肩头，搭配素银道簪与编织发带，仙侠古风服饰素雅出尘。正脸望向镜头，神态清冷淡漠，目光幽远深邃，发丝随风轻扬，饱和度较高，高级构图，细节丰富，脸部线条温润柔和，皮肤渲染细腻通透，发丝根根分明、肌理光泽自然，细节清晰完整，超高清、最高画质、高质量，丰富细节、细腻肌理，疯批感，有柔和感情的眼神，阴郁感，超细节，超丰富，写实逼真，潇洒，场景随机，全身写照一张【画面要求】 纯白背景，无阴影。依次并排展示：正面全身站立像、90度侧面全身像、背面全身像。服装剪裁合身，服饰细节展示
GPT Image-2 - Text to Image
人物三视图：女主（阿清）：纯越南湄公河乡村女孩，天资绝顶，从小刻苦隐忍。受越南乡村重男轻女风气影响，加上母亲常年的冷漠苛待，满心怨恨，一心逃离贫瘠家乡，对母亲极度失望、隔阂极深。
GPT Image-2 - Text to Image
we consider a FL system, consisting of an edge server and $K$ numbers of mobile devices.Traditionally, FL involves $L$ numbers of global training rounds, indexed by $\ell \in \mathcal{L}=\{1, 2, \cdots, L\}$. In this paper, we group every $T_{\ell}$ numbers of global training rounds as one time slot, denoted as $t$. Suppose that there exist $T$ numbers of time slots, and within each time slot $t \in \mathcal{T}$, we perform pruning global model to preserve the structured sparsity and model performance. In a global training round $\ell$, we further prune parameters of the pruned global model.At the beginning of round $t$, each device uploads its up--to--date states, such as computing capacity, to its DT(digital twin). The DT will determine $\Psi_{k}^{t,\ell}$ and $\Phi_{k}^{t,\ell}$, which will be detailed later. Then, based on $\Psi_{k}^{t,\ell}$, the DT will prune the global model $\omega$ to obtain ${\omega}_{k}^{t,\ell}$, and train ${\omega}_{k}^{t,\ell}$ on its synthetic dataset $\hat{\mathcal{D}}_k$.At time slot $\ell$, device $k$ trains the received model ${\omega}_{k}^{t,\ell}$ on $\mathcal{D}_k$ for $\lambda_k$ numbers of local iterations to obtain $\tilde{{\omega}}_{k}^{t,\ell}$.Based on received $\Phi_{k}^{t,\ell}$, device $k$ prunes the model $\tilde{{\omega}}_{k}^{t,\ell}$.Once completion of local model training, devices should transmit their models to DTs. Upon the receipt of all local models, edge server implement the aggregation scheme at each slot $\ell$.At the next global training round, the edge server transfers the aggregated model to DTs, and a next learning process is launched. 注意:重点突出time slot和time round
GPT Image-2 - Text to Image
Create a professional scientific mechanism figure about inflammation-driven tissue fibrosis and pharmacological intervention. Show inflammatory cell recruitment, macrophage activation, cytokine release, fibroblast activation, extracellular matrix deposition, and a drug blocking the TGF-beta signaling axis. Use a layered left-to-right causal layout with clear activation and inhibition arrows, restrained colors, sparse academic labels, and a publication-ready white-background schematic style.
GPT Image 2 - Image To Image
将上述两张图合并成一张图，合并的图需要同时包含两张图的内容，重点突出time slot和time round，同时合并的图的格式为.vsdx(或者visio可编辑的格式)
GPT Image 2 - Image To Image
将上述两张图合并成一张图，合并的图需要同时包含两张图的内容，重点突出time slot和time round，同时合并的图的格式为.vsdx(或者visio可编辑的格式)
GPT Image-2 - Text to Image
你是一个女性写真生成助手。 请根据用户输入的参数，生成一条完整、可用于 AI 图片生成的女性写真提示词。 要求： 默认生成年轻成年东方女性，视觉年龄约 20–26 岁。 整体必须真实拍摄质感，年轻、美丽、清透、有吸引力。 人物应具有明确的东方女性特征，不要欧美混血感过强，不要年龄偏大，不要未成年感。 画面不是普通自拍，不是廉价影楼照，而是一张具有高级写真感、真实摄影感和社交平台传播感的人像作品。 本模板重点表现丰腴曲线型女性美： 人物身形应为成熟丰腴、自然协调的曲线型身材，胸部饱满自然，胸部轮廓清晰但表现克制得体；腰线清晰，腰胯转折明显，臀腿曲线圆润流畅，肩颈线柔和，整体形成优雅、有吸引力的 S 型身姿。身体比例必须协调，不夸张变形，不低俗。 请根据用户输入自动补全： - 人物气质 - 五官方向 - 丰腴曲线型身形细节 - 女性身体线条重点 - 姿态动作 - 服装细节 - 场景细节 - 镜头构图 - 光线氛围 - 第一眼吸睛点 必须重点表现： 肩颈线、锁骨线、上半身轮廓、胸部线条、胸腰关系、腰线、腰胯转折、腿部比例和整体身体轮廓。 姿态应自然放松、有重心变化，避免僵硬站姿；根据风格可以形成自然或明显的 S 型身姿。 如果用户要求性感，只能表现为高级、克制、氛围化的女性魅力，不依赖低俗暴露，而通过姿态、服装剪裁、面料、光线、身体线条和眼神来表达。 请直接输出一条最终可用于生图的完整提示词，不要解释太多。 写真风格：轻性感氛围 场景方向：高级卧室 服装方向：修身裙装 气质标签：自信 知性活力 身形方向：丰腴曲线 线条强调：自动 镜头方向：行走抓拍 画幅比例：9:16
GPT Image 2 - Image To Image
这是我的便携式美甲器电商主图，请根据图中的文字以及资料重新生成风格不一样的8张电商主图。每张图的比例是3:4。要求能吸睛，文字排版多变且合理，文字颜色合理搭配。文字是俄文。
GPT Image 2 - Image To Image
修改一下这张海报，把左下角的“山水为魂，猛龙崛起“修改为”黔風起，龍必至“，其他画面元素无需修改，但需要提升一下画面的清晰度
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