针对你遇到的 ImportError: cannot import name 'randn_tensor' from 'diffusers.utils' 问题,我们可以按照以下步骤进行排查和解决: 检查diffusers.utils模块中是否存在randn_tensor函数或变量: 首先,我们需要确认diffusers.utils模块中是否确实包含randn_tensor。由于你提供的信息中没有直接提到randn_tensor的存在性,我们...
import inspect from typing import Any, Callable, Dict, List, Optional, Tuple, Union from packaging import version import torch from transformers import ( CLIPImageProcessor, @@ -57,6 +56,7 @@ from diffusers.utils.torch_utils import randn_tensor from diffusers.pipelines.pipeline_utils import Diff...
pip install -e . pip install diffusers[torch]🤗 Huggingface Online DemoCheck out the demo in this link.Simple Inference ExampleMultimodal Understandingimport torch from janus.janusflow.models import MultiModalityCausalLM, VLChatProcessor from janus.utils.io import load_pil_images # specify the path...
Describe the bug I noticed when converting a v2.1 SD model to diffusers then back to CKPT again makes the model unusable. Reproduction Try converting https://huggingface.co/stabilityai/stable-diffusion-2-1/resolve/main/v2-1_768-ema-prune...
Update pipeline_stable_diffusion_instruct_pix2pix.py to use pytorch_xla and from single safetensor. Thank you for the contribution@chaowenguo! I've addedinstruct-pix2pixtosingle_file_utilsto completefrom_single_filesupport. Example fromdiffusersimportStableDiffusionInstructPix2PixPipelinepipe=Stable...
noise=torch.randn_like(latents) timestep=torch.randint(0,1100, (1,),device=self.device)[0] add_time_id=torch.tensor([height,width,0,0,height,width],device=self.device) Expand DownExpand Up@@ -126,11 +143,25 @@ def on_save_checkpoint(self, checkpoint): ...
noise = diffusers.schedulers.scheduling_euler_ancestral_discrete.randn_tensor( model_output.shape, dtype=model_output.dtype, device=device, generator=generator ) s_noise = 1.0 else: print("resized_size", self.resized_size, "model_output.shape", model_output.shape, "sample.shape", sample.shape...