由于AuraFlow模型比较大，我就下在本地/hf_hub,结果运行Huggingface上README.md的代码

from diffusers import AuraFlowPipeline import torch  pipeline = AuraFlowPipeline.from_pretrained(     "/hf_hub/fal/AuraFlow-v0.2",     torch_dtype=torch.float16,     variant="fp16", ).to("cuda")  image = pipeline(     prompt="close-up portrait of a majestic iguana with vibrant blue-green scales, piercing amber eyes, and orange spiky crest. Intricate textures and details visible on scaly skin. Wrapped in dark hood, giving regal appearance. Dramatic lighting against black background. Hyper-realistic, high-resolution image showcasing the reptile's expressive features and coloration.",     height=1024,     width=1024,     num_inference_steps=50,      generator=torch.Generator().manual_seed(666),     guidance_scale=3.5, ).images[0]  image 

ValueError: /hf_hub/fal/AuraFlow-v0.2/transformer/ containing more than one .index.json file, delete the irrelevant ones.

网上并没有资料，我只好做了些尝试，发现是transformer文件夹下index.json重合了。我就用link做了测试

解决方法

删除其中一个index.json。可参考我的目录

fal/ ├── AuraFlow-v0.2 │   ├── aura_flow_0.2.safetensors -> /hf_hub/fal/AuraFlow-v0.2/aura_flow_0.2.safetensors │   ├── model_index.json -> /hf_hub/fal/AuraFlow-v0.2/model_index.json │   ├── scheduler -> /hf_hub/fal/AuraFlow-v0.2/scheduler │   ├── text_encoder -> /hf_hub/fal/AuraFlow-v0.2/text_encoder/ │   ├── tokenizer -> /hf_hub/fal/AuraFlow-v0.2/tokenizer/ │   ├── transformer │   │   ├── config.json -> /hf_hub/fal/AuraFlow-v0.2/transformer/config.json │   │   ├── diffusion_pytorch_model-00001-of-00003.safetensors -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model-00001-of-00003.safetensors │   │   ├── diffusion_pytorch_model-00002-of-00003.safetensors -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model-00002-of-00003.safetensors │   │   ├── diffusion_pytorch_model-00003-of-00003.safetensors -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model-00003-of-00003.safetensors │   │   └── diffusion_pytorch_model.safetensors.index.json -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model.safetensors.index.json │   └── vae -> /hf_hub/fal/AuraFlow-v0.2/vae/ └── AuraFlow-v0.2-fp16     ├── aura_flow_0.2.safetensors -> /hf_hub/fal/AuraFlow-v0.2/aura_flow_0.2.safetensors     ├── model_index.json -> /hf_hub/fal/AuraFlow-v0.2/model_index.json     ├── scheduler -> /hf_hub/fal/AuraFlow-v0.2/scheduler     ├── text_encoder -> /hf_hub/fal/AuraFlow-v0.2/text_encoder/     ├── tokenizer -> /hf_hub/fal/AuraFlow-v0.2/tokenizer/     ├── transformer     │   ├── config.json -> /hf_hub/fal/AuraFlow-v0.2/transformer/config.json     │   ├── diffusion_pytorch_model-00001-of-00002.fp16.safetensors -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model-00001-of-00002.fp16.safetensors     │   ├── diffusion_pytorch_model-00002-of-00002.fp16.safetensors -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model-00002-of-00002.fp16.safetensors     │   └── diffusion_pytorch_model.safetensors.fp16.index.json -> /hf_hub/fal/AuraFlow-v0.2/transformer/diffusion_pytorch_model.safetensors.fp16.index.json     └── vae -> /hf_hub/fal/AuraFlow-v0.2/vae/ 

fp16

Fri Aug  2 19:48:23 2024        +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 555.58.02              Driver Version: 555.58.02      CUDA Version: 12.5     | |-----------------------------------------+------------------------+----------------------+ | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC | | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. | |                                         |                        |               MIG M. | |=========================================+========================+======================| |   0  NVIDIA GeForce RTX 4090        Off |   00000000:01:00.0 Off |                  Off | | 34%   58C    P0            407W /  515W |   18542MiB /  24564MiB |    100%      Default | |                                         |                        |                  N/A | +-----------------------------------------+------------------------+----------------------+                                                                                           +-----------------------------------------------------------------------------------------+ | Processes:                                                                              | |  GPU   GI   CI        PID   Type   Process name                              GPU Memory | |        ID   ID                                                               Usage      | |=========================================================================================| |    0   N/A  N/A      1124      G   /usr/lib/Xorg                                 167MiB | |    0   N/A  N/A      1189      G   /usr/bin/sddm-greeter-qt6                     146MiB | |    0   N/A  N/A      3878      C   ...conda3/envs/ai-train/bin/python3.10      18196MiB | +-----------------------------------------------------------------------------------------+ 

无fp16

Fri Aug  2 19:50:18 2024        +-----------------------------------------------------------------------------------------+ | NVIDIA-SMI 555.58.02              Driver Version: 555.58.02      CUDA Version: 12.5     | |-----------------------------------------+------------------------+----------------------+ | GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC | | Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. | |                                         |                        |               MIG M. | |=========================================+========================+======================| |   0  NVIDIA GeForce RTX 4090        Off |   00000000:01:00.0 Off |                  Off | | 36%   44C    P0             71W /  515W |   20834MiB /  24564MiB |      0%      Default | |                                         |                        |                  N/A | +-----------------------------------------+------------------------+----------------------+                                                                                           +-----------------------------------------------------------------------------------------+ | Processes:                                                                              | |  GPU   GI   CI        PID   Type   Process name                              GPU Memory | |        ID   ID                                                               Usage      | |=========================================================================================| |    0   N/A  N/A      1124      G   /usr/lib/Xorg                                 167MiB | |    0   N/A  N/A      1189      G   /usr/bin/sddm-greeter-qt6                     146MiB | |    0   N/A  N/A      4031      C   ...conda3/envs/ai-train/bin/python3.10      20488MiB | +-----------------------------------------------------------------------------------------+