Stable Diffusion将文本提示转换为图像。 扩散模型(Diffusion model) Stable Diffusion属于一类称为扩散模型(diffusion model)的深度学习模型。它们是生成模型,这意味着它们的目的是生成类似于它们训练数据的新数据。对于Stable Diffusion来说,数据就是图像。 为什么叫扩散模型?因为它的数学看起来很像物理学中的扩散。让我们...
model,preprocess= clip.load("ViT-L/14") # used by stable diffusion v1model.cuda().eval() input_resolution = model.visual.input_resolution context_length = model.context_length vocab_size = model.vocab_size print("Model parameters:", f"{np.sum([int(np.prod(p.shape)) for p in model...
它生成的图片时,会使用depth map作为额外的条件。 Step 1.输入图片编码到潜空间 Step 2.MiDaS(一个是AI深度模型)基于输入图片预测depth map Step 3.为潜图片添加噪点。同样,denoising strength控制加入多少噪点。 Step 4.Noise predictor预测潜空间的噪点,由文本提示词与depth map共同调控 Step 5.从潜图片中剔除噪...
Learn how to use Stable Diffusion, an advanced open-source deep learning model that generates high-quality images from text descriptions. This tutorial covers the basics of how the model works and step-by-step instructions for running Stable Diffusion online and locally. ...
(g**2 * step_size)[:, None, None, None] * paddle.randn(x.shape) # 在最后一步中,我们不添加任何噪声 return x_mean sample_img = pc_sampler(model, marginal_prob_std_fn, diffusion_coeff_fn, batch_size=4, num_steps=num_steps, snr=signal_to_noise_ratio, eps=1e-3) display_images...
By doing this at every timestep, the model learns to predict specific characteristics like the average value and spread of the data at each point in time. Additionally, by tuning the model to focus on each specific time step, it gets better at estimating these characteristics. This way, it...
[to:when]在指定数量的 step 后,将to处的提示词添加到提示[from::when]在指定数量的 step 后从提示中删除 from处的提示词[from:to:when]在指定数量的 step 后将 from处的提示词替换为 to处的提示词 例1: a [fantasy:cyberpunk:16] landscape在一开始,读入的提示词为:the model will be drawing a fant...
This notebook takes a step-by-step approach to training your diffusion models on an image dataset, with explanatory graphics. Stable Diffusion is fully compatible with diffusers! Stable Diffusion is a text-to-image latent diffusion model created by the researchers and engineers from CompVis, ...
项目仓库中python_coreml_stable_diffusion/torch2coreml.py文件中,封装了调用coremltools.models.MLModel工具方法来转换其他格式模型到 Core ML 模型的逻辑: 代码语言:shell AI代码解释 coreml_model=coremltools.models.MLModel(...)coreml_model.convert(...)coreml_model.save(...) ...
Finally, we highlight open-source diffusion model tools and consider the future applications of diffusion models in bioinformatics. Key points Diffusion models are a generative artificial intelligence technology that can be applied in natural language processing, image synthesis and bioinformatics. Diffusion...