from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
device = "cuda" if torch.cuda.is_available() else "cpu"
model_checkpoint = "gokaygokay/Flux-Prompt-Enhance"
tokenizer = AutoTokenizer.from_pretrained(model_checkpoint)
model = AutoModelForSeq2SeqLM.from_pretrained(model_checkpoint)
enhancer = pipeline('text2text-generation',
model=model,
tokenizer=tokenizer,
repetition_penalty= 1.2,
device=device)
max_target_length = 256
prefix = "enhance prompt: "
short_prompt = "beautiful house with text 'hello'"
answer = enhancer(prefix + short_prompt, max_length=max_target_length)
final_answer = answer[0]['generated_text']
print(final_answer)