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Based on our record, Awesome ChatGPT Prompts seems to be a lot more popular than Stable Diffusion XL. While we know about 44 links to Awesome ChatGPT Prompts, we've tracked only 2 mentions of Stable Diffusion XL. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Aside from the built-in prompts powered by awesome-chatgpt-prompts (Are you an ETH dev, a financial analyst, or a personal trainer today?), you can also create, share and debug your chat tools with prompt templates. - Source: dev.to / 5 months ago
I've found the following resources helpful: - 15 Rules For Crafting Effective GPT Chat Prompts (https://expandi.io/blog/chat-gpt-rules/) - Awesome ChatGPT Prompts (https://github.com/f/awesome-chatgpt-prompts) For more resources of like nature, you can search for "mega prompt". - Source: Hacker News / 6 months ago
Someone assembled an adhoc page in Github that is amassing quite a large library of prompt ideas [Github]. Source: 6 months ago
I like to use PromptLayer for this. But you could easily set up a simple CRUD web app to track prompts/average completion token # length, different variations. There is also awesome-chatgpt-prompts (https://github.com/f/awesome-chatgpt-prompts) which has some interesting ones. What are you looking for? - Source: Hacker News / 9 months ago
* Built-In Prompts: Channel creativity using integrated prompts sourced from github.com/f/awesome-chatgpt-prompts. Source: 10 months ago
Image Generation - The dreamshaper-8-lcm is a text to image generator that is fast and appropriate for generating images (especially in the digital painting style). This is a variation on the Stable Diffusion model, and LCM (Latent Consistency Model) is an optimization of the model which renders quality images with impressive speed. - Source: dev.to / 2 months ago
We present StyleDrop that enables the generation of images that faithfully follow a specific style, powered by Muse, a text-to-image generative vision transformer. StyleDrop is extremely versatile and captures nuances and details of a user-provided style, such as color schemes, shading, design patterns, and local and global effects. StyleDrop works by efficiently learning a new style by fine-tuning very few... Source: about 1 year ago
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