Chichu-Video-1.0 🐱🎬
A video script generation model that creates structured scripts with:
- Scene descriptions (for T2V models)
- Character dialogue (for TTS)
- Narration
- Audio cues
Fine-tuned from Chichu 2.0 (Qwen2.5-0.5B-Instruct) on a curated dataset of video scripts with coherent dialogue across diverse scenes.
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
model = AutoModelForCausalLM.from_pretrained("Sebastianpro88/Chichu-Video-1.0", torch_dtype=torch.float16, device_map="cpu")
tokenizer = AutoTokenizer.from_pretrained("Sebastianpro88/Chichu-Video-1.0")
messages = [
{"role": "system", "content": "You are Chichu-Video-1.0, a video script writer."},
{"role": "user", "content": "Create a 15-second video about a cat in a garden. Include dialogue."}
]
text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer(text, return_tensors="pt")
out = model.generate(**inputs, max_new_tokens=300, do_sample=True, temperature=0.5)
print(tokenizer.decode(out[0][inputs["input_ids"].shape[1]:], skip_special_tokens=True))