--- license: apache-2.0 widget: - text: "Instruction: Give a simple description of the image to generate a drawing prompt.\nInput: 1 girl\nOutput:" tags: - pytorch - transformers - text-generation --- # BeautifulPrompt ## 简介 Brief Introduction 我们开源了一个自动Prompt生成模型,您可以直接输入一个极其简单的Prompt,就可以得到经过语言模型优化过的Prompt,帮助您更简单地生成高颜值图像。 We release an automatic Prompt generation model, you can directly enter an extremely simple Prompt and get a Prompt optimized by the language model to help you generate more beautiful images simply. * Github: [EasyNLP](https://github.com/alibaba/EasyNLP) ## 使用 Usage ```python from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained('alibaba-pai/pai-bloom-1b1-text2prompt-sd') model = AutoModelForCausalLM.from_pretrained('alibaba-pai/pai-bloom-1b1-text2prompt-sd').eval().cuda() raw_prompt = '1 girl' input = f'Instruction: Give a simple description of the image to generate a drawing prompt.\nInput: {raw_prompt}\nOutput:' input_ids = tokenizer.encode(input, return_tensors='pt').cuda() outputs = model.generate( input_ids, max_length=384, do_sample=True, temperature=1.0, top_k=50, top_p=0.95, repetition_penalty=1.2, num_return_sequences=5) prompts = tokenizer.batch_decode(outputs[:, input_ids.size(1):], skip_special_tokens=True) prompts = [p.strip() for p in prompts] print(prompts) ``` ## 作品展示 Gallery | Original | BeautifulPrompt | | ---------------------------------------- | ---------------------------------- | | prompt: taylor swift, country, golden, fearless,wavehair | prompt: portrait of taylor swift as a beautiful woman, long hair, country, golden ratio, intricate, symmetrical, cinematic lighting, highly detailed, digital painting, artstation, concept art, smooth, sharp focus, illustration | | ![](example1.png) | ![](example2.png) | | Original | BeautifulPrompt | | ---------------------------------------- | ---------------------------------- | | prompt: A majestic sailing ship | prompt: a massive sailing ship, epic, cinematic, artstation, greg rutkowski, james gurney, sparth | | ![](example3.png) | ![](example4.png) | ## 使用须知 Notice for Use 使用上述模型需遵守[AIGC模型开源特别条款](https://terms.alicdn.com/legal-agreement/terms/common_platform_service/20230505180457947/20230505180457947.html)。 If you want to use this model, please read this [document](https://terms.alicdn.com/legal-agreement/terms/common_platform_service/20230505180457947/20230505180457947.html) carefully and abide by the terms. ## Paper Citation If you find the model useful, please consider cite the paper: ``` @inproceedings{emnlp2023a, author = {Tingfeng Cao and Chengyu Wang and Bingyan Liu and Ziheng Wu and Jinhui Zhu and Jun Huang}, title = {BeautifulPrompt: Towards Automatic Prompt Engineering for Text-to-Image Synthesis}, booktitle = {Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track}, pages = {1--11}, year = {2023} } ```