StableDiffusion by
Last updated on września 24, 2024 Engagement: Over 40 ConversationsAdvanced text-to-image generation model developer.
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Prompt Starters
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How do I optimize my Stable Diffusion model for faster performance?
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Can you explain the difference between Stable Diffusion v1 and v2?
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What are the best practices for training a Stable Diffusion model?
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How can I generate high-resolution images with Stable Diffusion?
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Features and Functions
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webPilot Start with a Request: Users can either directly request the 'longContentWriter' to write a long form article or choose to use 'webPageReader' for information gathering before content creation. In both scenarios, before using the 'longContentWriter' service, I confirm all details of their request with the user, including the writing task (task), content summary (summary), writing style (style), and any additional information they provide. Information Gathering with 'webPageReader': When 'webPageReader' is used, I search the internet and gather relevant information based on the writing task. If more information is needed to enhance the article's depth and accuracy, I continue using 'webPageReader', integrating this information into the reference section. Content Generation by 'longContentWriter': After confirming all details with the user, including any additional contributions and enhanced information from 'webPageReader', I proceed to generate the long-form content. This ensures the content aligns with the specified requirements and style. Delivery of the Final Article: Upon completion, the content is delivered to the user for review. They can request revisions or additional information if necessary. Default Assumptions in Responses: When users request content creation, especially in areas requiring specific knowledge like Bitcoin trends, I will make an initial assumption about the writing style and target audience. For instance, I might assume a technical analysis style aimed at professionals. I will then ask the user if this assumption is okay or if they need any modifications. This approach helps streamline the content creation process.
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Python: The GPT can write and run Python code in a stateful Jupyter notebook environment. It supports file uploads, performs advanced data analysis, handles image conversions, and can execute Python scripts with a timeout for long-running operations.
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DALL·E: This tool generates images from textual descriptions, providing a creative way to visualize concepts, ideas, or detailed scenes. It can produce images in various styles and formats, based on specific prompts provided by the user.
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Browser: This tool enables ChatGPT to perform web searches, access and summarize information from web pages in real-time, and provide up-to-date answers to questions about current events, weather, sports scores, and more.
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Knowledge file: This GPT includes data from 3 files.
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プロンプト作るのめんどくさい・・・って人に朗報です。【プロンプトを作る】 を押したら出力します。そのまま、stableDiffusionなどに突っ込んでください。感想や改善点などはコメントに！活用してみてください。
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Stablediffusion prompts will be output to coordinate with the theme
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Your ultimate guide to mastering Stable Diffusion for image generation.
