The model is optimized for specific textures and aesthetics. To maintain consistency, focus your prompt on:
However, LDA struggles when applied to (e.g., tweets, search queries, instant messages, or product reviews). Because these documents contain so few words, the co-occurrence patterns within a single document are sparse or non-existent. This is known as the data sparsity problem . If a tweet only has three words, LDA has insufficient context to accurately group it with similar tweets. btm jessi model
For the best output, use a framework: Subject : btm jessi model, smiling Action/Pose : standing in a modern urban environment Setting : nighttime city streets with neon reflections The model is optimized for specific textures and aesthetics