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Same. Using the same code from model card

Cc: @a-r-r-o-w

Can you share your output for diffusers-cli env?

Here's mine:

- 🤗 Diffusers version: 0.33.0.dev0
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.31
- Running on Google Colab?: No
- Python version: 3.10.14
- PyTorch version (GPU?): 2.5.1+cu124 (True)
- Flax version (CPU?/GPU?/TPU?): 0.8.5 (cpu)
- Jax version: 0.4.31
- JaxLib version: 0.4.31
- Huggingface_hub version: 0.26.2
- Transformers version: 4.48.0.dev0
- Accelerate version: 1.1.0.dev0
- PEFT version: 0.13.3.dev0
- Bitsandbytes version: 0.43.3
- Safetensors version: 0.4.5
- xFormers version: not installed
- Accelerator: NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA DGX Display, 4096 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>

Just verified again that the code works for me:

一样同样的问题，下载模型过程中，还出现提醒说，模型size不匹配

Can you share your output for diffusers-cli env?

Here's mine:

- 🤗 Diffusers version: 0.33.0.dev0
- Platform: Linux-5.4.0-166-generic-x86_64-with-glibc2.31
- Running on Google Colab?: No
- Python version: 3.10.14
- PyTorch version (GPU?): 2.5.1+cu124 (True)
- Flax version (CPU?/GPU?/TPU?): 0.8.5 (cpu)
- Jax version: 0.4.31
- JaxLib version: 0.4.31
- Huggingface_hub version: 0.26.2
- Transformers version: 4.48.0.dev0
- Accelerate version: 1.1.0.dev0
- PEFT version: 0.13.3.dev0
- Bitsandbytes version: 0.43.3
- Safetensors version: 0.4.5
- xFormers version: not installed
- Accelerator: NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
NVIDIA DGX Display, 4096 MiB
NVIDIA A100-SXM4-80GB, 81920 MiB
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in>

Just verified again that the code works for me:

• 🤗 Diffusers version: 0.33.0.dev0
• Platform: Linux
• Running on Google Colab?: No
• Python version: 3.10.14
• PyTorch version (GPU?): 2.4.0+cu124 (True)
• Huggingface_hub version: 0.24.2
• Transformers version: 4.46.3
• Accelerate version: 0.33.0
• PEFT version: 0.12.0
• Bitsandbytes version: 0.43.2
• Safetensors version: 0.4.3
• xFormers version: 0.0.27
• Accelerator: NVIDIA A100-80GB, 81920 MiB

Yes, please upgrade to torch 2.5.1 and it should hopefully work. Atleast two other people have confirmed that upgrading the torch version fixed the black output problem

Yes, please upgrade to torch 2.5.1 and it should hopefully work. Atleast two other people have confirmed that upgrading the torch version fixed the black output problem

Thank you! It works for me~

Generated video is black, and the token number is limited,

default text encoder is CLIP? how to change another text encoder?

Token indices sequence length is longer than the specified maximum sequence length for this model (123 > 77). Running this sequence through the model will result in indexing errorsThe following part of your input was truncated because CLIP can only handle sequences up to 77 tokens: