近日用到了diffusers库,但是本人仅仅对Unet有简单了解,对于diffusers中使用的多种Unet类型初看一头雾水,其中加入了很多结构,所以本文解析一下库中的Unet网络源码 diffusers库:github.com/huggingface/ 解析代码位置:src/diffusers/models/unet_2d_condition.py 1. 简述 1.1 类介绍 先看注释对网络的解释:UNet2DCondition...
UNet2DConditionModel.from_pretrained 是Diffusers 库中的一个方法,用于加载预训练的 2D 条件 U-Net 模型。以下是关于这个方法的详细解答: 1. unet2dconditionmodel.from_pretrained 的功能 UNet2DConditionModel.from_pretrained 方法的主要功能是从指定的存储库或本地路径加载预训练的 2D 条件 U-Net 模型。U-Net...
Describe the bug This error happens with a custom attention processor after setting lora layers Reproduction from diffusers import UNet2DConditionModel from diffusers.models.lora import LoRALinearLayer class AttnProcessorCustom: def __ca...
这里dim取出的值都为64,而default_overall_up_factor = 8,因此在不断循环中break。接下来的attention_mask和encoder_attention_mask的值都为None,然后调用time_embedding。 t_emb=self.get_time_embed(sample=sample,timestep=timestep) 这里放入的参数为 sample.shape = (2,4,64,64) timestep = tensor(981)...
stablediffusion/ldm/modules/karlo/diffusers_pipeline.py Line 24 in cf1d67a from ...models import PriorTransformer, UNet2DConditionModel, UNet2DModel But where is the UNet2DConditionModel? I cannot findSign up for free to join this conversation on GitHub. Already have an account? Sign in...
from diffusers import StableDiffusionInpaintPipeline unet.eval() 简书如何使用代码块? unet前向传入 noise_pred = self.unet( latent_model_input, t, encoder_hidden_states=prompt_embeds, timestep_cond=timestep_cond, cross_attention_kwargs=self.cross_attention_kwargs, ...