Stable diffusion and keyword By specifying resolution terms like “4K,” “8K,” “highly detailed”, or even “64K,” you instruct the AI to focus on creating a high-quality image with crisp details. Apr 27, 2023 · Each chunk is processed independently using CLIP's Transformers neural network, and the results are concatenated before being fed into the next component of Stable Diffusion, the Unet. Because of the large open-source community, thousands of custom models are freely available. These rules are for AUTOMATIC1111 GUI. 5 model. Apr 3, 2024 · When crafting the perfect prompt for Stable diffusion AI, resolution keywords act as the brushstrokes defining the sharpness and clarity of your desired image. Apr 30, 2025 · Stable Diffusion continues to push the boundaries of AI image generation, with recent advancements like Stable Diffusion 3. The prompt syntax I recommend is: Viewing Angle, Subject, Details, Medium, Style, Artist/Render, Lighting, Resolution/Focus. Why does this work? This syntax uses keywords that stable diffusion is familiar with. Let’s use John Singer Sargent as the prompt with the Stable Diffusion v1. The BREAK keyword (in uppercase) can be used to fill the current chunk with padding characters and start a new chunk. This latest version is proving market-leading in understanding and executing complex instructions, rivaling much larger models. Jan 4, 2024 · This is also a unique charm of Stable Diffusion. . Apr 29, 2024 · Stable Diffusion processes prompts in chunks, and rearranging these chunks can yield different results. 1. For example, if you're specifying multiple colors, rearranging them can prevent color bleed. This is especially true for styles. When using a model, we need to be aware that the meaning of a keyword can change. Feb 20, 2024 · You can change how important Stable Diffusion keywords are by using a separate one at specific times. Sample Prompt : 1girl, close-up, red tie, green eyes, long black hair, white dress shirt, gold earrings Apr 6, 2024 · Stable diffusion prompt syntax is a suggested order and specific keywords to use when prompting stable diffusion. Keyword Weight. 5 Large setting new benchmarks for both image quality and, crucially, prompt adherence. yydvs aoicum jbveldo mwwiqbec sdztlh gxxuc ektlrg nrdp rcvgq idsyg