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question:As a prompt generator for a generative AI called "Midjourney", you will create image prompts for the AI to visualize. I will give you a concept, and you will provide a detailed prompt for Midjourney AI to generate an image. Please adhere to the structure and formatting below, and follow these guidelines: Do not use the words "description" or ":" in any form. Do not place a comma between [ar] and [v]. Write each prompt in one line without using return. Structure: [1] = 一个可爱的兔子站在雪地里,3D风格,冷灰色背景 [2] = a detailed description of [1] with specific imagery details. [3] = a detailed description of the scene's environment. [4] = a detailed description of the compositions. [5] = a detailed description of the scene's mood, feelings, and atmosphere. [6] = A style (e.g. photography, painting, illustration, sculpture, artwork, paperwork, 3D, etc.) for [1]. [7] = a detailed description of the scene's mood, feelings, and atmosphere. [ar] = Use "--ar 16:9" for horizontal images, "--ar 9:16" for vertical images, or "--ar 1:1" for square images. [v] = Use "--niji" for Japanese art style, or "--v 5" for other styles. Formatting: Follow this prompt structure: "/imagine prompt: [1], [2], [3], [4], [5], [6], [7], [ar] [v]". Your task: Create 4 distinct prompts for each concept [1], varying in details description, environment,compositions,atmosphere, and realization. Write your prompts in english. Do not describe unreal concepts as "real" or "photographic". Include one realistic photographic style prompt with lens type and size. Separate different prompts with two new lines. Example Prompts: /imagine prompt: cute dog, fluffy fur, wagging tail, playful expression, sitting on a grassy field, under a clear blue sky, with a colorful collar, in a natural and vibrant setting, by a lake, captured with a Nikon D750 camera, 50mm lens, shallow depth of field, composition focused on the dog's face, capturing its joyful spirit, in a style reminiscent of William Wegman's iconic dog portraits. --ar 1:1 --v 5.2 /imagine prompt: beautiful women in the coffee shop, elegant and sophisticated, sipping a cup of steaming coffee, natural sunlight streaming through the window, soft and warm color tones, vintage decor with cozy armchairs and wooden tables, a bookshelf filled with classic novels, delicate porcelain teacups, a hint of aromatic coffee beans in the air, captured by a Leica M10 camera, 35mm lens, capturing the essence of timeless beauty, composition focused on the woman's face and hands, reminiscent of a painting by Leonardo da Vinci. --ar 1:1 --v 5.2 /imagine prompt: A captivating Halo Reach landscape with a Spartan amidst a battlefield, fallen enemies around, smoke and fire in the background, emphasizing the Spartan's determination and bravery, detailed environment blending chaos and beauty, Illustration, digital art, --ar 16:9 --v 5
answer:/imagine prompt: a cute bunny with soft white fur, twitching nose, and bright eyes, hopping amidst a snowy forest, surrounded by tall pine trees dusted with snow, sunlight filtering through the branches creating a magical glow, a few small snowflakes gently falling around, capturing a sense of wonder and tranquility, in a 3D animation style. --ar 16:9 --v 5.2 /imagine prompt: an adorable rabbit with fluffy gray fur, standing on a snowy hill overlooking a frozen lake, distant mountains covered in mist, a serene winter landscape with a touch of melancholy, the bunny looking contemplative with ears perked up, a cool color palette adding to the sense of isolation, in a stylized illustration. --ar 16:9 --v 5.3 /imagine prompt: a charming bunny with brown and white patches, sitting in a snow-covered clearing in a dense forest, delicate snowflakes gently falling from the sky, creating a dreamy atmosphere, the rabbit surrounded by small woodland creatures peeking out curiously, a scene straight out of a fairy tale, captured in a whimsical watercolor painting. --ar 16:9 --v 5.4 /imagine prompt: a playful rabbit with floppy ears and a fluffy tail, frolicking in a meadow blanketed in snow, a soft winter breeze blowing through the tall grass, distant hills covered in a misty haze, capturing the essence of freedom and joy, the bunny's antics frozen in a snapshot by a Canon 5D Mark IV camera, 50mm lens, with a shallow depth of field focusing on its animated expression, in a realistic photographic style. --ar 16:9
question:does paperless-ngx support images, videos, and audios?
answer:As of my last update in 2023, paperless-ngx is a document management system designed primarily for the management, tagging, and retrieval of scanned documents and PDFs. Its main focus is on scanning paperwork (like bills, receipts, and letters) and making them searchable and manageable without the need for physical storage. However, regarding the specific support for images, videos, and audios: - **Images**: Yes, paperless-ngx does support image files since scanned documents are essentially images. It can process and manage image files as part of its document management capability, allowing users to tag and search for these files. - **Videos and Audios**: No, paperless-ngx is not designed to manage video and audio files. Its functionality is rooted in handling documents, primarily text and image-based materials. It's aimed at reducing paper clutter and does not include features for organizing multimedia content like videos and audios. Its core functionalities revolve around OCR (Optical Character Recognition) to convert scanned images of text into searchable and editable documents, which is not applicable to video and audio content. If you're looking for multimedia content management, you might need to explore other software solutions more tailored to handling diverse media types such as digital asset management (DAM) systems. These are specifically designed to store, organize, and retrieve rich media content, including images, audios, and videos, along with providing powerful searching tools, access control, and sometimes even editing capabilities.
question:What is digital asset management system and do you know any open-source softwares that are of DAM systems?
answer:A Digital Asset Management (DAM) system is a software solution designed to store, organize, manage, access, and distribute digital assets. These assets can include photos, videos, graphics, audio files, presentations, documents, and more. DAM systems are essential in environments where organizations need to handle large volumes of digital media, ensuring that these assets are easily searchable, accessible by authorized users, and can be shared or published efficiently. They often come with capabilities for metadata tagging, version control, rights management, and integration with other tools such as content management systems (CMS), creating a centralized repository for all digital content. # Key Features of DAM Systems: 1. **Centralized Repository**: Acts as a single source of truth for all digital assets, making it easier to store, search, and retrieve assets from one place. 2. **Metadata and Tagging**: Allows users to assign detailed metadata and tags to assets, improving the searchability and organization of content. 3. **Access Control and Permissions**: Ensures that only authorized users can access, edit, or download assets, protecting sensitive information, and copyrights. 4. **Version Control**: Keeps track of different versions of each asset, allowing users to revert to previous versions if needed. 5. **Integration**: Seamlessly integrates with other tools and platforms, enhancing workflow and productivity. # Examples of Open-Source DAM Systems: 1. **ResourceSpace**: A web-based, open-source DAM system that offers a wide range of features including advanced search, workflow automation, and access control. It's favored by organizations of all sizes for managing their digital collections. 2. **Pimcore**: Although primarily a PIM (Product Information Management) tool, Pimcore offers strong DAM functionalities. It's an open-source platform for managing digital experiences, including product information, digital assets, and more. It's a bit more complex but highly flexible. 3. **TACTIC**: A unique combination of DAM and project management functionalities, TACTIC is an open-source tool that allows organizations to manage their digital content and the workflows around it efficiently. 4. **Razuna**: Designed as a straightforward and user-friendly DAM solution, Razuna offers capabilities to manage and share all types of digital media files. It is well-suited for organizations looking for an accessible entry into DAM. 5. **ApostropheCMS**: This is a bit of a different inclusion: it's primarily a CMS with strong DAM capabilities built into it. While it might not be a DAM system in the traditional sense, it provides robust tools for managing digital assets as part of website management. When choosing a DAM system, it's important to consider the specific needs of your organization, including the types of digital assets you handle, the volume of content, and the complexity of your workflows. Integration capabilities with existing tools and systems should also be considered to ensure a smooth, efficient workflow.
question:What is Media Asset Management system and do you know any open-source ones?
answer:A Media Asset Management (MAM) system is a subtype of Digital Asset Management (DAM) system, with a more focused application on handling multimedia content, such as videos, audios, images, and other media files. MAM systems are designed to facilitate the organization, storage, retrieval, and distribution of media content, providing features tailored to the specific needs of broadcasting, film production, video editing, and other media-intensive industries. These features often include high-resolution media support, advanced tagging and metadata capabilities, collaboration tools, and the ability to handle large volumes of video and audio files efficiently. MAM systems streamline workflows related to media production, editing, archiving, and sharing, enabling organizations to manage their media assets effectively throughout their lifecycle. # Features of a MAM System Include: - **High-Volume Storage Solutions**: Optimized to store and manage large quantities of high-resolution video and audio files. - **Metadata and Cataloging**: Advanced tagging and cataloging features to enhance searchability and organization of media files. - **Collaboration Tools**: Facilities for multiple users to access, edit, and work on media files simultaneously, often with version control to manage changes. - **Integration Capabilities**: Ability to integrate with video editing software, content management systems, and other tools used in media production workflows. - **Distribution and Publishing**: Tools for encoding, transcoding, and publishing media to various platforms or formats. # Examples of Open-Source MAM Systems: 1. **Cantaloupe**: Primarily an image server, Cantaloupe also offers functionalities that can be extended towards managing media assets. It’s more of an entry-level solution for organizations that do not require complex video management capabilities. 2. **Piwigo**: While Piwigo is more commonly used as a photo gallery software, it has features that extend its use into the realm of media asset management, particularly for images and, to some extent, videos. It supports batch management, tagging, and an extensible plugin system for additional functionalities. Finding truly open-source MAM systems that are comprehensive and on par with commercial offerings can be challenging. Many businesses and media production firms tend to rely on proprietary software that offers the high level of technical support and advanced features needed for professional media management. However, open-source DAM systems often include capabilities that can be adapted for media management purposes, and some may serve as a starting point for organizations with basic MAM needs or those capable of developing custom solutions based on these platforms. Due to the specific and demanding requirements of media asset management, especially in professional settings, it's crucial to thoroughly assess any open-source MAM solution against your needs, considering factors like scalability, support, extensibility, and compatibility with existing workflows and software ecosystems.