UNet2DConditionModel 中的 forward 函数输入参数如下: sample: 输入的噪声图像数据timestep: 时间步,即当前去噪对应的步数encoder_hidden_states: 编码器输出的隐藏状态,和图像sample的size相同(就是编码器encoder输出)class_labels: 图像分类标签return_dict: 是否返回一个包含输出信息的字典信息,True就返回 UNet2DCondi...
(conv2): Conv2d(640, 640, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1)) (nonlinearity): SiLU() (conv_shortcut): Conv2d(320, 640, kernel_size=(1, 1), stride=(1, 1)) ) (1): ResnetBlock2D( (norm1): GroupNorm(32, 640, eps=1e-05, affine=True) (conv1): C...
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...
stablediffusion/ldm/modules/karlo/diffusers_pipeline.py Line 24 in cf1d67a from ...models import PriorTransformer, UNet2DConditionModel, UNet2DModel But where is the UNet2DConditionModel? I cannot find
in main unet.enable_gradient_checkpointing() File "I:\Git\AI\SDWebUI\venv\lib\site-packages\torch\nn\modules\module.py", line 1207, in __getattr__ raise AttributeError("'{}' object has no attribute '{}'".format( AttributeError: 'UNet2DConditionModel' object has no attribute 'enable_...
class unet(object): """ Use NCHW format for data 2D U-Net model class """ concat_axis = 1 data_format = "channels_first" else: """ Use NHWC format for data """ concat_axis = -1 data_format = "channels_last" def __init__(self, channels_first=args.channels_first, fms=args....
RuntimeError: Error(s) in loading state_dict for UNet2DConditionModel: size mismatch for conv_in.weight: copying a param with shape torch.Size([320, 9, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 4, 3, 3]). 请问一...