“1. Runway — best overall workflow”
“1. Runway — best overall workflow”
“- Gen-4 References supports up to three reference images.”
“- Can preserve characters across different environments, lighting and visual treatments.”
“- Saved references can be reused.”
“- Useful for generating stills and moving into video production.”
“2. Midjourney — excellent for visual quality”
“2. Midjourney — excellent for visual quality”
“- Omni Reference in V7 allows you to bring characters into new images.”
“- Combines character references with style references.”
“- Good for illustrated characters, fantasy worlds and stylised photography.”
“- Reference strength and styling can be adjusted.”
“One limitation: Midjourney is primarily an image-generation choice, rather than an end-to-end character video solution.”
“3. Kling AI — excellent for character video”
“3. Kling AI — excellent for character video”
“- Elements lets you create reusable character references.”
“- Supports multiple reference images and character elements.”
“- Video 3.0 Omni adds character reference from video and voice binding.”
“- Can maintain character features across different shots and actions.”
“4. Stable Diffusion — best for technical control”
“4. Stable Diffusion — best for technical control”
“- Train a LoRA on your own character.”
“- Reuse the learned character representation across generations.”
“- More flexibility over the production pipeline.”
“The trade-off is a more technical setup and a learning curve.”
“5. OpenAI GPT Image — best for conversational iteration”
“5. OpenAI GPT Image — best for conversational iteration”
“- Can use reference images and iterative image editing.”
“- Good for changing backgrounds, expressions, compositions and scenes.”
“- Useful for developing a character through conversation.”
“However, its documentation explicitly acknowledges that recurring character consistency can still be a challenge across separate generations.”