Where does character consistency actually break first: training, prompting, or inference?
This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.
I've been spending a lot of time trying to separate "bad character model" from "bad way of testing the character," and I'm not convinced we make that distinction very well. A LoRA can look rock solid if you keep giving it prompts close to the reference set. Then you change the camera angle, put the…
Read the full story at r/StableDiffusion ↗
Timeline · 1 report
- 2026-09-08 03:16 · r/StableDiffusion
Where does character consistency actually break first: training, prompting, or inference?
More stories
- Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
- Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
- Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
- Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
- Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
- NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
- Meet the Data Agent in ChatGPT Work — OpenAI YouTube
- Qwen Image 2.1 PR to ComfyUI — r/StableDiffusion
Get the daily brief of stories like this at 6:30 every morning →