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Enjoy the magic of Diffusion models!

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当我设置 Lora 为 LCM 1.5 Lora时候 ,发现这个错误: ![image](https://github.com/Artiprocher/DiffSynth-Studio/assets/48466610/466e52e1-1ab6-4c3c-8629-4e9d061d559d) 1. 我发现是 在转换 downsamplers时候 ,down 对应的 权重是 (320,64,3,3,),后面两个维度不是能够压缩的1 1 ,我该如何修改呢, lora_unet_down_blocks_0_downsamplers_0_conv.alpha:torch.Size([]) lora_unet_down_blocks_0_downsamplers_0_conv.lora_down.weight:torch.Size([64, 320, 3, 3]) lora_unet_down_blocks_0_downsamplers_0_conv.lora_up.weight:torch.Size([320, 64, 1, 1]) 2. 关于 diffusers...

hi,dear 大佬,这个是啥问题啊, ``` >>> video = pipe( ... input_image=image.resize((512, 512)), ... num_frames=128, fps=30, height=512, width=512, ... motion_bucket_id=127, ... num_inference_steps=50, ... min_cfg_scale=2, max_cfg_scale=2, contrast_enhance_scale=1.2 ... ) Traceback (most recent call last):...

aingdiffusion_v12.safetensors has been already in models/stable_diffusion. mm_sd_v15_v2.ckpt has been already in models/AnimateDiff. control_v11p_sd15_lineart.pth has been already in models/ControlNet. sk_model.pth has been already in models/Annotators. sk_model2.pth has been already in models/Annotators....

Do we have any simple tricks to load all models to respective folders which needs to run this project?

Hi there, After run command "python -m streamlit run DiffSynth_Studio.py", the webpage showing with this error: "AssertionError: Torch not compiled with CUDA enabled" ![image](https://github.com/modelscope/DiffSynth-Studio/assets/147580705/4c7b383c-7db2-4455-9b62-ffe87ad7db81) How to resolve it, thank you...

基本使用硬件最低配置能否说明?

除了降低分辨率,步数,等参数设置,还有什么其他加速方法吗比如支持lcm,animateDiff-Lightning

Python 3.12.3 pip install -e . python -m streamlit run DiffSynth_Studio.py ![image](https://github.com/modelscope/DiffSynth-Studio/assets/81950749/bf3cf245-8168-4b7f-85d7-be610ccc0fab) ![image](https://github.com/modelscope/DiffSynth-Studio/assets/81950749/1e474d47-9964-422f-8bf9-4b7e369a9bfc)