Understanding Image Prompting

Stable Diffusion can benefit significantly from the use of comma-separated words and phrases in its prompts. Using commas effectively organizes prompts into distinct elements, enhancing clarity and aiding in the generation of more relevant images. For example, a prompt structured as “a cat, a dog, a tree” allows the model to interpret each item separately, which can lead to more accurate and coherent outputs compared to a continuous paragraph of description. This practice is especially useful for creators who want to ensure that specific attributes or elements are emphasized in their generated images.

Flux models work best if the prompt contains complete sentences depicting the image. Comma-separated tags are not recommended. This is a major difference between Stable Diffusion and Flux.

LoRA is a fine-tuning technique that makes a model learn a specific concept, style, item, or character. LoRA requires “trigger words” to function. For example, the phrase “Xaloraai logo” must be included if you want the XaloraLogo model to generate a correct logo. Some LoRA models require multiple words or phrases to trigger effectively. We suggest that the “autofill” field in models.json should always be present in the prompt, and it’s highly recommended to include key words in the “recommend” field.

We recommend visiting Xalora Imagine, go to individual model pages and see the example prompts of the models that you want to use.

​Need More Models?

Any image generation models from Civitai and LLMs from HuggingFace can be supported upon request. If you’re interested in hosting your models on Xalorat, or if you want customized models that adapts to your specific use cases, please contact us at [e-mail]