图像分类有ResNet，语义分割有UNet，目标检测有YOLO，NLP有Transformer，生成式AI有Diffusion Model。
models/diffusion_models put_diffusion_model_files_here nodes.py 5 changes: 4 additions & 1 deletion5comfy/sd.py Original file line numberDiff line numberDiff line change Expand Up@@ -670,10 +670,13 @@ def save_checkpoint(output_path, model, clip=None, vae=None, clip_vision=None, m ...
深入浅出扩散模型(Diffusion Model)系列：基石DDPM（人人都能看懂的数学原理篇） - 知乎 (zhihu.com)生...
beta_end=0.012,beta_schedule="scaled_linear",num_train_timesteps=1000)## Initializing the U-Net modelsd_path=r'/media/stable_diffusion/stable-diffusion-v1-4'unet=UNet2DConditionModel.from_pretrained(sd_path,subfolder="unet",local_files_only=True,torch...
Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models 单位:南开大学(程明明等人), MBZUAI等 代码:github.com/hutaiHang/Fa 论文:arxiv.org/abs/2312.0960 扩散模型中的关键组件之一是用于噪声预测的 UNet。 虽然一些工作已经探索了 UNet 解码器的基本属性,但其编码器在很大程度上仍未被探索。
if self.unet_config["in_channels"] == 4: #SD2.0 inpainting models are not v prediction k = "model.diffusion_model.output_blocks.11.1.transformer_blocks.0.norm1.bias" k = "{}output_blocks.11.1.transformer_blocks.0.norm1.bias".format(prefix) out = state_dict[k] if torch.std(out, ...
The interpersonal diffusion mechanism of unethical behavior in groups: a social network perspective Pi,Xin,Pan,... - 《Computational & Mathematical Organization Theory》 - 2017 - 被引量: 1 DiffusionCT: Latent Diffusion Model for...
Design/methodology/approach - Based on the network and innovation literatures, we develop a model explicitly relating the structural properties of the network to its innovation and imitation potential, and in turn to the observed diffusion parameters (innovation and imitation coefficients). We first ...
conv_nd(dims, in_channels, model_channels, 3, padding=1) ) ] ) 1. 2. 3. 4. 5. 6. 7. 接下来对U-net左边进行搭建,首先是对channel_mult(通道乘子)进行遍历,就是乘以几倍几倍,通道乘子其实就是定义了有几层的U-net,一般是逐层扩大,输出通道数是mult * model_channels,乘子和当前model通道数...
This allows the diffusion regularization to be applied at multiple scales, facilitating the capture of both global and local image context. By using StableDiffusion-UNET, the model is encouraged to produce more stable and smooth segmentations, reducing the noise and inconsistency in the final ...