python3 gradio_server.py --flow-reverse 启动的时候报错

[guoshiyin-666]

2024-12-18 09:21:56.168 | INFO | hyvideo.inference:from_pretrained:153 - Got text-to-video model root path: ckpts
2024-12-18 09:21:56.168 | INFO | hyvideo.inference:from_pretrained:188 - Building model...
2024-12-18 09:21:56.774 | INFO | hyvideo.inference:load_state_dict:337 - Loading torch model ckpts/hunyuan-video-t2v-720p/transformers/mp_rank_00_model_states.pt...
2024-12-18 09:24:17.306 | INFO | hyvideo.vae:load_vae:29 - Loading 3D VAE model (884-16c-hy) from: ./ckpts/hunyuan-video-t2v-720p/vae
2024-12-18 09:24:25.944 | INFO | hyvideo.vae:load_vae:55 - VAE to dtype: torch.float16
2024-12-18 09:24:26.100 | INFO | hyvideo.text_encoder:load_text_encoder:28 - Loading text encoder model (llm) from: ./ckpts/text_encoder
Traceback (most recent call last):
File "/workspace/HunyuanVideo/gradio_server.py", line 140, in
demo = create_demo(args.model_base, args.save_path)
File "/workspace/HunyuanVideo/gradio_server.py", line 68, in create_demo
model = initialize_model(model_path)
File "/workspace/HunyuanVideo/gradio_server.py", line 20, in initialize_model
hunyuan_video_sampler = HunyuanVideoSampler.from_pretrained(models_root_path, args=args)
File "/workspace/HunyuanVideo/hyvideo/inference.py", line 238, in from_pretrained
text_encoder = TextEncoder(
File "/workspace/HunyuanVideo/hyvideo/text_encoder/init.py", line 180, in init
self.model, self.model_path = load_text_encoder(
File "/workspace/HunyuanVideo/hyvideo/text_encoder/init.py", line 36, in load_text_encoder
text_encoder = AutoModel.from_pretrained(
File "/opt/conda/lib/python3.10/site-packages/transformers/models/auto/auto_factory.py", line 567, in from_pretrained
raise ValueError(
ValueError: Unrecognized configuration class <class 'transformers.models.llava.configuration_llava.LlavaConfig'> for this kind of AutoModel: AutoModel.
Model type should be one of AlbertConfig, AlignConfig, AltCLIPConfig, ASTConfig, AutoformerConfig, BarkConfig, BartConfig, BeitConfig, BertConfig, BertGenerationConfig, BigBirdConfig, BigBirdPegasusConfig, BioGptConfig, BitConfig, BlenderbotConfig, BlenderbotSmallConfig, BlipConfig, Blip2Config, BloomConfig, BridgeTowerConfig, BrosConfig, CamembertConfig, CanineConfig, ChameleonConfig, ChineseCLIPConfig, ChineseCLIPVisionConfig, ClapConfig, CLIPConfig, CLIPTextConfig, CLIPVisionConfig, CLIPSegConfig, ClvpConfig, LlamaConfig, CodeGenConfig, CohereConfig, ConditionalDetrConfig, ConvBertConfig, ConvNextConfig, ConvNextV2Config, CpmAntConfig, CTRLConfig, CvtConfig, DacConfig, Data2VecAudioConfig, Data2VecTextConfig, Data2VecVisionConfig, DbrxConfig, DebertaConfig, DebertaV2Config, DecisionTransformerConfig, DeformableDetrConfig, DeiTConfig, DetaConfig, DetrConfig, DinatConfig, Dinov2Config, DistilBertConfig, DonutSwinConfig, DPRConfig, DPTConfig, EfficientFormerConfig, EfficientNetConfig, ElectraConfig, EncodecConfig, ErnieConfig, ErnieMConfig, EsmConfig, FalconConfig, FalconMambaConfig, FastSpeech2ConformerConfig, FlaubertConfig, FlavaConfig, FNetConfig, FocalNetConfig, FSMTConfig, FunnelConfig, GemmaConfig, Gemma2Config, GitConfig, GlmConfig, GLPNConfig, GPT2Config, GPT2Config, GPTBigCodeConfig, GPTNeoConfig, GPTNeoXConfig, GPTNeoXJapaneseConfig, GPTJConfig, GPTSanJapaneseConfig, GraniteConfig, GraniteMoeConfig, GraphormerConfig, GroundingDinoConfig, GroupViTConfig, HieraConfig, HubertConfig, IBertConfig, IdeficsConfig, Idefics2Config, Idefics3Config, IJepaConfig, ImageGPTConfig, InformerConfig, JambaConfig, JetMoeConfig, JukeboxConfig, Kosmos2Config, LayoutLMConfig, LayoutLMv2Config, LayoutLMv3Config, LEDConfig, LevitConfig, LiltConfig, LlamaConfig, LongformerConfig, LongT5Config, LukeConfig, LxmertConfig, M2M100Config, MambaConfig, Mamba2Config, MarianConfig, MarkupLMConfig, Mask2FormerConfig, MaskFormerConfig, MaskFormerSwinConfig, MBartConfig, MCTCTConfig, MegaConfig, MegatronBertConfig, MgpstrConfig, MimiConfig, MistralConfig, MixtralConfig, MobileBertConfig, MobileNetV1Config, MobileNetV2Config, MobileViTConfig, MobileViTV2Config, MoshiConfig, MPNetConfig, MptConfig, MraConfig, MT5Config, MusicgenConfig, MusicgenMelodyConfig, MvpConfig, NatConfig, NemotronConfig, NezhaConfig, NllbMoeConfig, NystromformerConfig, OlmoConfig, Olmo2Config, OlmoeConfig, OmDetTurboConfig, OneFormerConfig, OpenLlamaConfig, OpenAIGPTConfig, OPTConfig, Owlv2Config, OwlViTConfig, PatchTSMixerConfig, PatchTSTConfig, PegasusConfig, PegasusXConfig, PerceiverConfig, PersimmonConfig, PhiConfig, Phi3Config, PhimoeConfig, PixtralVisionConfig, PLBartConfig, PoolFormerConfig, ProphetNetConfig, PvtConfig, PvtV2Config, QDQBertConfig, Qwen2Config, Qwen2AudioEncoderConfig, Qwen2MoeConfig, Qwen2VLConfig, RecurrentGemmaConfig, ReformerConfig, RegNetConfig, RemBertConfig, ResNetConfig, RetriBertConfig, RobertaConfig, RobertaPreLayerNormConfig, RoCBertConfig, RoFormerConfig, RTDetrConfig, RwkvConfig, SamConfig, SeamlessM4TConfig, SeamlessM4Tv2Config, SegformerConfig, SegGptConfig, SEWConfig, SEWDConfig, SiglipConfig, SiglipVisionConfig, Speech2TextConfig, SpeechT5Config, SplinterConfig, SqueezeBertConfig, StableLmConfig, Starcoder2Config, SwiftFormerConfig, SwinConfig, Swin2SRConfig, Swinv2Config, SwitchTransformersConfig, T5Config, TableTransformerConfig, TapasConfig, TimeSeriesTransformerConfig, TimesformerConfig, TimmBackboneConfig, TrajectoryTransformerConfig, TransfoXLConfig, TvltConfig, TvpConfig, UdopConfig, UMT5Config, UniSpeechConfig, UniSpeechSatConfig, UnivNetConfig, VanConfig, VideoMAEConfig, ViltConfig, VisionTextDualEncoderConfig, VisualBertConfig, ViTConfig, ViTHybridConfig, ViTMAEConfig, ViTMSNConfig, VitDetConfig, VitsConfig, VivitConfig, Wav2Vec2Config, Wav2Vec2BertConfig, Wav2Vec2ConformerConfig, WavLMConfig, WhisperConfig, XCLIPConfig, XGLMConfig, XLMConfig, XLMProphetNetConfig, XLMRobertaConfig, XLMRobertaXLConfig, XLNetConfig, XmodConfig, YolosConfig, YosoConfig, ZambaConfig.

[JacobKong]

What's your transformers package verision

[guoshiyin-666]

你的 transformers 软件包版本是多少

pip show transformers
Name: transformers
Version: 4.47.1
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: [email protected]
License: Apache 2.0 License
Location: /opt/conda/lib/python3.10/site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm
Required-by:

[guoshiyin-666]

root@compute-gpu:/workspace/HunyuanVideo# pip show transformers
Name: transformers
Version: 4.46.3
Summary: State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
Home-page: https://github.com/huggingface/transformers
Author: The Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
Author-email: [email protected]
License: Apache 2.0 License
Location: /opt/conda/lib/python3.10/site-packages
Requires: filelock, huggingface-hub, numpy, packaging, pyyaml, regex, requests, safetensors, tokenizers, tqdm
Required-by:

使用官方提供的版本包
opencv-python==4.9.0.80
diffusers==0.31.0
transformers==4.46.3
tokenizers==0.20.3
accelerate==1.1.1
pandas==2.0.3
numpy==1.24.4
einops==0.7.0
tqdm==4.66.2
loguru==0.7.2
imageio==2.34.0
imageio-ffmpeg==0.5.1
safetensors==0.4.3
gradio==4.43.0

还是会报相同的错误