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alibaba-pai / pai-bloom-1b1-text2prompt-sd
Model's Last Updated: March 06 2024
text-generation
Introduction of pai-bloom-1b1-text2prompt-sd
Model Details of pai-bloom-1b1-text2prompt-sd
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
使用 Usage
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 |
|
|
| Original | BeautifulPrompt |
|---|---|
| prompt: A majestic sailing ship | prompt: a massive sailing ship, epic, cinematic, artstation, greg rutkowski, james gurney, sparth |
|
|
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 。
If you want to use this model, please read this document 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}
}
Runs of alibaba-pai pai-bloom-1b1-text2prompt-sd on huggingface.co
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More Information About pai-bloom-1b1-text2prompt-sd huggingface.co Model
Url of pai-bloom-1b1-text2prompt-sd
pai-bloom-1b1-text2prompt-sd huggingface.co Url
Provider of pai-bloom-1b1-text2prompt-sd huggingface.co
Other API from alibaba-pai
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