class PromptEncoder(nn.Module): def __init__( self, embed_dim: int, # mask 嵌入维度 image_embedding_size: Tuple[int, int], # 图像嵌入大小 input_image_size: Tuple[int, int], # 输入图片大小 mask_in_chans: int, # mask 输入通道 activation: Type[nn.Module] = nn.GELU, # 激活函数 ...
self.not_a_point_embed=nn.Embedding(1,embed_dim)# 用来表示背景或其他非目标区域的点self.mask_input_size=(4*image_embedding_size[0],4*image_embedding_size[1])# 计算了掩码输入的大小,他是图像嵌入大小的四倍,可能因为掩码输入需要更高的分辨率来更精确地表示图像的细节。self.mask_downscaling=nn.Seq...
from diffusers import AutoencoderKL, UNet2DConditionModel, DDIMScheduler ## Helper functions def load_artifacts(): ''' A function to load all diffusion artifacts ''' vae = AutoencoderKL.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="vae", torch_dtype=torch.float16).to("cuda"...
Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impact of diverse pre-training objectives on the performance of encoder-decoder pre-trained language models across generation and question answering tasks, with a focus on commonsense ...
The model initially identifies the top-n similar training questions related to a given test question via a BERT-based sentence encoder and retrieves their corresponding SPARQL. Using the top-n similar question-SPARQL pairs as an example and the test question creates a prompt. Then pass the ...
Maintainer of thediffuserslibrary here - should we try to add a prompt-to-prompt pipeline todiffusersto make sure things are actively maintained? patrickvonplatenmentioned this issueApr 6, 2023 TypeError: forward() got an unexpected keyword argument 'encoder_hidden_states'huggingface/diffusers#2979 ...
Create feature-centric and prompt-centric visualizations for sparse autoencoders (like those from Anthropic's published research). - callummcdougall/sae_vis
return vae, unet, tokenizer, text_encoder, scheduler def load_image(p): ''' Function to loadimages from a defined path ''' return Image.open(p).convert('RGB').resize((512,512)) def pil_to_latents(image): ''' Function to convert image to latents ...
Prompt-based learning has emerged as a dominant paradigm in natural language processing. This study explores the impact of diverse pre-training objectives on the performance of encoder-decoder pre-trained language models across generation and question answering tasks, with a focus on commonsense knowledg...