Update README.md

README.md

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 - diffusion
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-Mochi lora test on Jinx (14 videos), training on 61 frames for 5h of H100
+# Fine-Tuning Mochi-Sota Text-to-Video: Jinx Lora Test
+
+This project demonstrates the fine-tuning of the **Mochi-Sota Text-to-Video** model using a LoRA (Low-Rank Adaptation) approach, focusing on the character **Jinx** from the *League of Legends* universe. The goal was to adapt the model to generate dynamic, character-specific video sequences with consistent visual and motion styles.
+
+## Training Details
+
+- **Model Base**: Mochi-Sota Text-to-Video  
+- **Fine-Tuning Dataset**: 14 short video clips of Jinx  
+- **Frame Selection**: 61 frames extracted from the videos  
+- **Training Hardware**: H100 GPU  
+- **Training Duration**: 5 hours  
+
+This fine-tuning process leverages LoRA to efficiently adapt the model while preserving the core capabilities of the base model.
+
+---
+
+## Results
+
+Below is an example of the generated video output:  
+
+### **Sample Description**
+*Jinx sprints through a dimly lit alley, her vibrant blue hair trailing behind her. She clutches a small, bulging sack tightly against her chest. Dressed in a dark crop top and boots, she moves with chaotic energy, her boots thudding loudly on the pavement. Her mischievous grin flashes briefly as she glances back, her pace never faltering.*
+
+### **Generated Sample**
+[**v1/samples 0_3200.mp4**](v1/samples 0_3200.mp4)
+
+---