This project was inspired by the course "Generative AI, from GANs to CLIP, with Python and Pytorch" by Javier Ideami, credits are due the author; All models credits go to their respective authors: About Text-to-Image Multimodal Generator which generate images from text-prompts inputs Topics...
文本生成工具代码:github上有:TextRecognitionDataGenerator 1、首先准备自己的字体文件和文本背景图像: 2、准备好数据字符列表文件:注意txt文件是utf-8的编码格式。 3、可以使用脚本生成列表文件,这里是号码生成举例: importrandom,string importargparse importos fromtqdmimporttqdm parser=argparse.Argument...
Basic usagepython train.py --data_set="flowers" Options z_dim: Noise Dimension. Default is 100. t_dim: Text feature dimension. Default is 256. batch_size: Batch Size. Default is 64. image_size: Image dimension. Default is 64. gf_dim: Number of conv in the first layer generator. Def...
DreamFusion 可以借助预训练 2D text-to-image diffusion model,实现 text-to-3D synthesis。 DreamFusion 引入了一个基于概率分布蒸馏 (probability density distillation) 的 loss,使 2D diffusion model 能够作为参数图像生成器 (parametric image generator) 优化的 prior。 输入文本提示 a DSLR photoof a peacock ...
ASCII generator (image to text, image to image, video to video). Python3.10+ support - wrld-builder/ASCII-generator
ReadPython QR code generator using pyqrcode in Tkinter 3. Prompt the User for File Location and Name When the user clicks the “Save” button, we want to prompt them to choose a file location and provide a name for the file. Tkinter provides a convenient file dialogasksaveasfilename()th...
Define if the generator will return masks for the text 定义生成器是否将返回文本的掩码 -d [DISTORSION], --distorsion [DISTORSION] Define a distorsion applied to the resulting image. 0:None (Default), 1: Sine wave, 2: Cosine wave, 3:Random ...
CnSTD 是Python 3 下的场景文字检测(Scene Text Detection,简称STD)工具包,支持中文、英文等语言的文字检测,自带了多个训练好的检测模型,安装后即可直接使用。CnSTD 自V1.2.1 版本开始,加入了数学公式检测(Mathematical Formula Detection,简称MFD)模型,并提供训练好的模型可直接用于检测图片中包含的数学公式(行内公式...
import paddle import paddle.nn as nn # define the generator class Generator(nn.Layer): def __init__(self, noise_dim, projected_embed_dim, ngf): super(Generator, self).__init__() self.num_channels = 3 self.image_size = 64 self.noise_dim = noise_dim self.embed_dim = 1024 self....
本项目在萤火二号集群上用 PyTorch 实现了论文 《CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP》。 CLIP-GEN 是一个 Language-Free 的文本生成图像的方法,它不依赖图文训练样本,通过预训练 CLIP 模型的强大表征能力,只需要图片数据就可以训练出一个文本生成图像的模型。该方法的基本...