Impermanence_Impermanence_Novel Promotion-Urban Romance-Anime Style F.1

Introduction to the selected LORA model: This model is based on training from F.1-dev-fp8 base model and is suitable for a specific style.

Recommendation: Highly recommend using the Flux document-based graphic workflow generation. Non-LibLib members can process in batches of 1 to 3 times, whereas LibLib members can process in 8 batches. In general, 8 batches equate to 8 computational powers, where one computational power generates one image. What are you waiting for?

Workflow link: https://www.liblib.art/modelinfo/9c81aa8555d2425490f7ecdf028f9abd?from=personal_page

Generation suggestions: F.1 basic algorithm model is applicable online on LibLib.

Sampling method: Euler

LORA weight: Recommended range is 0.8-1.0

Recommended size: This model is trained on a dataset of 768*1024 images.

Iteration steps: 15-30, although 10 steps have also shown good results.

Relevance coefficient for prompt words: 3.5

High-definition restoration: R-ESRGAN_4x+ Anime6B

Creative summary: Try training a LORA generated by the newly launched FLUX training model. Recommend using the F.1 model in the document-based graphics workflow, which can save a significant amount of computational power.

Trigger word: Animation style