The image model I’m using is too inconsistent across requests. What should I switch to?

If you need more consistent outputs across requests, the best switch is usually to a model with stronger instruction-following and lower creative variance.

Good options

• Use a newer, higher-quality model if available in your stack.
• If you’re generating images, prefer a model that supports:
  • fixed seeds
  • reference images / image conditioning
  • strong prompt adherence
  • style presets
• If consistency matters more than variety, choose a model with less stochastic sampling or reduce:
  • temperature
  • top-p
  • CFG guidance settings, depending on the model

Practical recommendation

If you’re currently using a general-purpose image model and getting drift between runs, switch to one that offers:

1. Seed control
2. Reference-image conditioning
3. Prompt locking / style templates

Workflow tips for consistency

• Reuse the same seed
• Keep prompts highly structured
• Avoid vague style terms
• Use a template prompt
• Keep resolution/aspect ratio fixed
• If possible, fine-tune or use a custom LoRA/style adapter

If you tell me which model you’re using now and what kind of images you need consistent, I can recommend a more specific replacement.