The Anima Realism Model Is Crazy Good – Don’t Miss It
Try the Anima realism model with turbo lora and cache to balance speed and quality.
Experiment with the Anima model and turbo lora, and consider enabling cache for faster iterations.
Summary
Anima realism model, a fine‑tuned version of the Anima model, offers strong prompt adherence for unconventional tags and can handle hybrid danbooru and natural language prompts. The author tested it with 50 steps, 5 CFG, and the Euler sampler, noting it runs slowly on a Mac but works well with the turbo lora. The model is not as photo‑realistic as ZIT but excels at rendering danbooru tags that other models struggle with. An extracted realism LoRA is available in the comments, allowing users to isolate the realism component. The author suggests using a cache in swarmUI to speed generation at the cost of some quality. The model is still experimental and the author invites contributions for further training runs.
Key changes
- Fine‑tuned Anima model with strong prompt adherence for danbooru tags
- Tested with 50 steps, 5 CFG, Euler sampler
- Works with turbo lora for faster generation
- Extracted realism LoRA available in comments
- Cache in swarmUI improves speed but reduces quality
- Model is experimental and invites further training