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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+base_model:
+- duongve/NetaYume-Lumina-Image-2.0
+pipeline_tag: text-to-image
+---
+# Neta Cat Tower
+
+
+
+## Introduction
+**Neta Cat Tower** is a text-to-image model fine-tuned from [NetaYume Lumina](https://huggingface.co/duongve/NetaYume-Lumina-Image-2.0).  
+This model was trained with the goal of enhancing anime style. No learning was conducted regarding the addition of characters.
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+- **Developed by:** [nuko masshigura](https://huggingface.co/nukomasshigura)
+- **Model type:** Text-to-Image generative model based on [Neta Lumina](https://huggingface.co/neta-art/Neta-Lumina)
+- **License:** [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
+- **Finetuned from model:** [NetaYume Lumina](https://huggingface.co/duongve/NetaYume-Lumina-Image-2.0)
+
+
+## How to Get Started with the Model
+
+Please refer to the [Neta Lumina's model card.](https://huggingface.co/neta-art/Neta-Lumina)
+
+### Recommended settings 
+
+- Sampler: res_multistep/ euler_ancestral
+- Scheduler: linear_quadratic
+- Steps: >=30
+- CFG (guidance): 4 – 5.5
+- Resolution: 1024 × 1024, 768 × 1532, 968 × 1322, or >= 1024
+
+### Prompt
+
+Please refer to the [Neta Lumina Prompt Book](https://www.neta.art/blog/neta_lumina_prompt_book/)  
+About character knowledge, please refer to the [NetaYume Lumina's Civitai page](https://civitai.com/models/1790792)  
+
+## Training Information
+### v1
+- dataset: 2.1k anime style dataset with danbooru tags and English caption
+- hardware: Geforce RTX5090 x 1
+- training tool: sd-scripts
+- mixed_precision: bf16
+- save_precision: fp16
+- resolution: '1280,1280'
+- optimizer_type: AdamW8bit
+- learning_rate: 3e-5
+- lr_scheduler: warmup_stable_decay
+- max_train_epochs: 20
+- train_batch_size: 1
+- gradient_accumulation_steps: 4
+- min_snr_gamma: 5
+- ip_noise_gamma: 0.1
+- timestep_sampling: nextdit_shift
+
+## Acknowledgments
+- duongve: Thanks to [duongve](https://huggingface.co/duongve) for sharing awesome model.