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--- |
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tags: |
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- image-generation |
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- generative-model |
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- multimodal |
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- SOTA |
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model_name: CustomImageGenerator |
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model_type: image-generation |
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description: > |
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CustomImageGenerator is a state-of-the-art multimodal generative model based |
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on the GPT-2 architecture, capable of generating high-quality images from |
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textual prompts. The model combines advanced techniques from natural language |
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processing (NLP) and computer vision to produce visually coherent and |
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contextually relevant images. |
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architecture: GPT-2 |
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tasks: |
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- image-generation |
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references: |
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- title: Generative Pre-trained Transformer 2.0 |
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url: > |
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https://cdn.openai.com/better-language-models/language_models_are_unsupervised_multitask_learners.pdf |
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- title: Learning to Generate Images from Text |
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url: https://arxiv.org/abs/1511.02793 |
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- title: Stable Diffusion Models for Image Generation |
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url: https://arxiv.org/abs/2105.05233 |
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related_models: |
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- name: BigGAN |
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description: State-of-the-art generative adversarial network (GAN) for image generation. |
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url: https://github.com/ajbrock/BigGAN-PyTorch |
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- name: CLIP |
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description: > |
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Contrastive Language-Image Pre-training model for understanding images and |
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text. |
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url: https://github.com/openai/CLIP |
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language: |
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- en |
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license: apache-2.0 |
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--- |
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<style> |
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/* General Styles */ |
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@import url('https://fonts.googleapis.com/css2?family=Montserrat:wght@400;600;800&display=swap'); |
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body { |
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font-family: 'Montserrat', sans-serif; |
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background-color: #121212; |
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margin: 0; |
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padding: 20px; |
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line-height: 1.6; |
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color: #e0e0e0; |
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display: flex; |
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flex-direction: column; |
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align-items: center; |
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justify-content: center; |
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min-height: 100vh; |
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border-radius: 10px; |
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background: rgba(255, 255, 255, 0.05); |
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} |
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.container { |
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max-width: 900px; |
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margin: 20px auto; |
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padding: 40px; |
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background-color: #1e1e1e; |
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border-radius: 20px; |
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box-shadow: 0 20px 40px rgba(0, 0, 0, 0.8); |
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overflow: hidden; |
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animation: fadeIn 1s ease-in-out; |
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border: 2px solid #333; |
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} |
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@keyframes fadeIn { |
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0% { |
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opacity: 0; |
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} |
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100% { |
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opacity: 1; |
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} |
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} |
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margin-bottom: 60px; |
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padding: 20px; |
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border-radius: 10px; |
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background: rgba(255, 255, 255, 0.05); |
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transition: background 0.3s ease, transform 0.3s ease; |
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} |
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background: rgba(255, 255, 255, 0.1); |
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transform: translateY(-5px); |
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} |
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.section-header { |
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text-align: center; |
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margin-bottom: 40px; |
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animation: slideIn 1s ease-in-out; |
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border-bottom: 2px solid #333; |
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padding-bottom: 10px; |
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position: relative; |
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} |
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@keyframes slideIn { |
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0% { |
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transform: translateX(-100%); |
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opacity: 0; |
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} |
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100% { |
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transform: translateX(0); |
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opacity: 1; |
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} |
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} |
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font-size: 36px; |
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font-weight: 800; |
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margin-bottom: 20px; |
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text-transform: uppercase; |
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letter-spacing: 2px; |
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color: #e0e0e0; |
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animation: fadeIn 1s ease-in-out; |
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.6); |
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} |
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font-size: 18px; |
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line-height: 1.8; |
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color: #b0b0b0; |
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animation: fadeIn 1s ease-in-out; |
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text-shadow: 1px 1px 3px rgba(0, 0, 0, 0.5); |
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} |
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.detail { |
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display: flex; |
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align-items: center; |
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margin-bottom: 20px; |
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color: #e0e0e0; |
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animation: fadeIn 1s ease-in-out; |
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padding: 10px; |
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border-radius: 8px; |
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transition: background 0.3s ease, transform 0.3s ease; |
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background: rgba(255, 255, 255, 0.1); |
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transform: translateY(-5px); |
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margin-right: 12px; |
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font-size: 24px; |
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color: #007bff; |
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} |
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font-size: 18px; |
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color: #e0e0e0; |
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} |
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.interactive-element { |
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position: relative; |
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width: 100%; |
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height: 300px; |
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border-radius: 20px; |
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overflow: hidden; |
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background: linear-gradient(135deg, #1e1e1e, #121212); |
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box-shadow: inset 0 0 10px rgba(0, 0, 0, 0.5); |
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transition: transform 0.3s ease; |
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} |
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.interactive-element::before, |
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.interactive-element::after { |
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content: ''; |
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position: absolute; |
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width: 100%; |
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height: 100%; |
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background: linear-gradient(135deg, rgba(255, 0, 0, 0.5), rgba(0, 0, 255, 0.5)); |
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mix-blend-mode: screen; |
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animation: shimmer 5s infinite; |
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} |
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top: -100%; |
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left: 0; |
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animation-direction: alternate; |
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bottom: -100%; |
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right: 0; |
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animation-direction: alternate-reverse; |
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} |
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@keyframes shimmer { |
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transform: translateY(0); |
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} |
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100% { |
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transform: translateY(100%); |
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} |
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} |
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.interactive-message { |
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position: absolute; |
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top: 50%; |
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left: 50%; |
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transform: translate(-50%, -50%); |
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color: #e0e0e0; |
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font-size: 24px; |
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font-weight: 600; |
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text-align: center; |
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opacity: 0; |
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transition: opacity 0.5s ease-in-out; |
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} |
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.interactive-element:hover .interactive-message { |
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opacity: 1; |
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} |
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.form-container { |
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margin-top: 40px; |
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padding: 20px; |
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border-radius: 10px; |
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background: rgba(255, 255, 255, 0.05); |
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box-shadow: 0 10px 20px rgba(0, 0, 0, 0.5); |
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animation: fadeIn 1s ease-in-out; |
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position: relative; |
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overflow: hidden; |
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} |
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.form-container::before { |
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content: ''; |
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position: absolute; |
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top: -50%; |
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left: -50%; |
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width: 200%; |
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height: 200%; |
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background: radial-gradient(circle, rgba(255, 255, 255, 0.1), transparent); |
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animation: rotate 10s infinite linear; |
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} |
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@keyframes rotate { |
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0% { |
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transform: rotate(0deg); |
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} |
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100% { |
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transform: rotate(360deg); |
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} |
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} |
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.form-title { |
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font-size: 28px; |
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font-weight: 700; |
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margin-bottom: 20px; |
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text-align: center; |
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color: #e0e0e0; |
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text-shadow: 1px 1px 3px rgba(0, 0, 0, 0.5); |
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} |
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.form-field { |
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margin-bottom: 20px; |
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} |
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.form-label { |
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display: block; |
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font-size: 16px; |
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margin-bottom: 5px; |
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color: #b0b0b0; |
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text-shadow: 1px 1px 2px rgba(0, 0, 0, 0.5); |
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} |
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.form-input { |
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width: 100%; |
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padding: 10px; |
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border-radius: 5px; |
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border: 1px solid #333; |
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background: #1e1e1e; |
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color: #e0e0e0; |
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font-size: 16px; |
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transition: border-color 0.3s ease, box-shadow 0.3s ease; |
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} |
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.form-input:focus { |
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outline: none; |
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border-color: #007bff; |
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box-shadow: 0 0 5px rgba(0, 123, 255, 0.5); |
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} |
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.form-button { |
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display: block; |
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width: 100%; |
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padding: 10px; |
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border-radius: 5px; |
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background: #007bff; |
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color: #e0e0e0; |
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font-size: 18px; |
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font-weight: 600; |
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text-align: center; |
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cursor: pointer; |
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transition: background 0.3s ease, transform 0.3s ease; |
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} |
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.form-button:hover { |
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background: #0056b3; |
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transform: translateY(-2px); |
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} |
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.widget-container { |
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background: rgba(255, 255, 255, 0.05); |
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border-radius: 10px; |
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padding: 20px; |
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margin-top: 40px; |
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animation: fadeIn 1s ease-in-out; |
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position: relative; |
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overflow: hidden; |
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} |
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.widget-container::before { |
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content: ''; |
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position: absolute; |
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top: -50%; |
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left: -50%; |
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width: 200%; |
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height: 200%; |
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background: radial-gradient(circle, rgba(255, 255, 255, 0.1), transparent); |
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animation: rotate 10s infinite linear; |
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} |
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.widget-header { |
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text-align: center; |
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font-size: 24px; |
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font-weight: 700; |
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color: #e0e0e0; |
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margin-bottom: 20px; |
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text-shadow: 1px 1px 3px rgba(0, 0, 0, 0.5); |
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} |
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.widget-content { |
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display: flex; |
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flex-direction: column; |
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align-items: center; |
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justify-content: center; |
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text-align: center; |
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color: #b0b0b0; |
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} |
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.widget-content p { |
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margin: 10px 0; |
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} |
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.trendy-feature { |
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background-color: #ffffff; |
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padding: 40px; |
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border-radius: 20px; |
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box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); |
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cursor: pointer; |
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transition: transform 0.3s ease; |
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margin: 20px auto; |
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max-width: 600px; |
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} |
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.trendy-feature:hover { |
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transform: translateY(-5px); |
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} |
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.trendy-feature h1 { |
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font-size: 36px; |
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margin-bottom: 20px; |
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color: #333; |
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} |
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</style> |
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##!##[Text Generation](https://huggingface.co/ayjays132/Phillnet2/resolve/main/Images/Phillnet2.png?download=true)## |
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<div class="container"> |
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<div class="section"> |
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<div class="section-header"> |
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<h2 class="section-title">🎨 Use Cases</h2> |
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</div> |
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<div class="section-content"> |
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<div class="section-description"> |
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<p><strong>🖼️ Artistic Content Generation</strong></p> |
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<p>CustomImageGenerator serves as a virtual canvas for artists and designers, enabling the creation of captivating artworks from mere text. Whether it's envisioning mythical landscapes or crafting futuristic cityscapes, the model ignites creativity and opens doors to boundless artistic exploration.</p> |
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</div> |
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</div> |
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</div> |
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<div class="section"> |
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<div class="section-header"> |
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<h2 class="section-title">ℹ️ Model Details</h2> |
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</div> |
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<div class="section-content"> |
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<div class="section-description"> |
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<p><strong>🧠 Architecture</strong></p> |
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<p>CustomImageGenerator is built upon the GPT-2 architecture, a powerful transformer-based model renowned for its natural language processing capabilities. Leveraging GPT-2's architecture, the model seamlessly integrates text and image generation, offering a holistic approach to multimodal AI.</p> |
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</div> |
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</div> |
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</div> |
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<div class="section"> |
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<div class="section-header"> |
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<h2 class="section-title">🌟 Significance</h2> |
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</div> |
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<div class="section-content"> |
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<div class="section-description"> |
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<p>CustomImageGenerator represents a paradigm shift in multimodal AI, bridging the gap between language and vision to enable seamless communication and creativity. Its ability to generate contextually relevant images from textual prompts opens up new possibilities for artistic expression, conceptualization, and product design, ushering in a new era of human-machine collaboration and innovation.</p> |
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</div> |
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</div> |
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</div> |
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</div> |
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<script> |
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let slideIndex = 1; |
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showSlides(slideIndex); |
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function plusSlides(n) { |
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function currentSlide(n) { |
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function showSlides(n) { |
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