key.split(delimiter)[: block_slice_pos -1] + key_part + key.split(delimiter)[block_slice_pos:] )# 将状态字典中的旧键对应的值存入新键new_state_dict[new_key] = state_dict.pop(key)# 遍历输出块的 ID 列表foriinoutput_block_ids:# 计算当前块的 IDblock_id = i // (unet_config.layers...
"""dim:int# 内部隐藏状态维度的类型声明n_heads:int# 注意力头数量的类型声明d_head:int# 每个头的隐藏状态维度的类型声明dropout:float=0.0# 随机失活率的默认值only_cross_attention:bool=False# 默认不只应用交叉注意力dtype: jnp.dtype = jnp.float32# 默认数据类型为 jnp.float32use_memory_efficient_at...
现在创建一个去噪循环,预测噪声较小的样本的残差,并使用scheduler计算噪声较小的样本 importtqdmsample=noisy_samplefori,tinenumerate(tqdm.tqdm(scheduler.timesteps)):# 1. predict noise residualwithtorch.no_grad():residual=model(sample,t).sample# 2. compute less noisy image and set x_t -> x_t-1...
fn_recursive_set_attention_slice(module, reversed_slice_size) def _set_gradient_checkpointing(self, module, value: bool = False) -> None: Member sayakpaul Jul 19, 2024 But we are not doing any checkpointing in the forward(). Perhaps that needs to be implemented? Member Author a-r...
然后,加载 LoRA 权重并将其与原始权重融合。lora_scale参数与上面的cross_attention_kwargs={"scale": 0.5}类似,用于控制多大程度上融合 LoRA 的权重。融合时一定要主要设置好这个参数,因为融合后就无法使用cross_attention_kwargs的scale参数来控制了。
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX. - diffusers/src/diffusers/models/attention.py at main · huggingface/diffusers
"""# 检查是否启用切片且输入批量大于 1ifself.use_slicingandz.shape[0] >1:# 对输入进行切片解码decoded_slices = [self._decode(z_slice).sampleforz_sliceinz.split(1)]# 将所有解码结果连接成一个张量decoded = torch.cat(decoded_slices)else:# 对整个输入进行解码decoded = self._decode(z).sample...
fn_recursive_add_processors(name, module, processors)# 返回所有收集到的处理器returnprocessors# 复制自 diffusers.models.unets.unet_2d_condition.UNet2DConditionModel.set_attn_processor# 设置用于计算注意力的处理器def set_attn_processor(self, processor: Union[AttentionProcessor, Dict[str, AttentionProcessor...
unet.set_attention_slice(slice_size) def disable_attention_slicing(self): r""" Disable sliced attention computation. If `enable_attention_slicing` was previously invoked, this method will go back to computing attention in one step. """ # set slice_size = `None` to disable `set_attention_...
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