---
library_name: transformers
license: apache-2.0
datasets:
- gokaygokay/prompt-enhancer-dataset
language:
- en
base_model: google-t5/t5-base
pipeline_tag: text2text-generation
---

```python
from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM

# Model checkpoint
model_checkpoint = "gokaygokay/Flux-Prompt-Enhance"

# Tokenizer
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)

# Model
model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)

enhancer = pipeline('text2text-generation', model=model, tokenizer=tokenizer, repetition_penalty=1.5, device="cuda")
max_target_length = 256
prefix = "enhance prompt: "

short_prompt = "beautiful house"
answer = enhancer(prefix + short_prompt, max_length=max_target_length)
final_answer = answer[0]['generated_text']
print(final_answer)

# a two-story house with white walls and dark brown roof, large windows on the upper floor, black shutters on the windows, a chimney on top of one of the windows, a small balcony with a metal railing in front of the house, a tree with green leaves to its left side, another tree with green foliage to their right, clear blue sky above, sunlight casting shadows from the trees onto the house.
```