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Ninifee/flfwrld-style-lora
flfwrld-style-lora is a machine learning model from Ninifee. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
A style LoRA producing soft, felted, candy-colored 3D illustrations: round plush characters, fuzzy pom-pom landscapes, and pastel palettes.
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Updated Jul 19, 2026
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From the Hugging Face model README
A style LoRA producing soft, felted, candy-colored 3D illustrations: round plush characters, fuzzy pom-pom landscapes, and pastel palettes.
flfwrld| File | Step | Character |
|---|---|---|
flfwrld_style_v1_000000500.safetensors | 500 | Palette converged, texture weak |
flfwrld_style_v1_000001000.safetensors | 1000 | Texture arriving, balanced |
flfwrld_style_v1_000001250.safetensors | 1250 | Best prompt adherence with plain prompts |
flfwrld_style_v1.safetensors | 3000 | Strongest felt texture — recommended with texture words in the prompt |
Tested on fal.ai (fal-ai/flux-2/klein/4b/base/lora):
steps 28–40 · guidance 4 · LoRA scale 1.0 · no acceleration.
Note: the undistilled base needs 25+ inference steps — few-step endpoints
produce hazy, unconverged images.
Prompt template:
flfwrld style, [subject + action], fuzzy felted wool texture, soft plush surfaces, [background], [lighting], [composition]
Because style words were excluded from training captions, adding them at inference ("fuzzy felted wool texture") stacks with the trigger and strengthens the texture. With these words present, the 3000 checkpoint gives the best combination of texture and prompt adherence.