在跑qwenimage的推理的时候遇到问题

代码如下：
import os
os.environ["MODELSCOPE_DOMAIN"] = "www.modelscope.ai"
os.environ["CUDA_VISIBLE_DEVICES"] = '4'
os.environ["DIFFSYNTH_MODEL_BASE_PATH"] = "./"
from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
import torch

vram_config = {
"offload_dtype": "disk",
"offload_device": "disk",
"onload_dtype": torch.float8_e4m3fn,
"onload_device": "cpu",
"preparing_dtype": torch.float8_e4m3fn,
"preparing_device": "cuda",
"computation_dtype": torch.bfloat16,
"computation_device": "cuda",
}
pipe = QwenImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors", *vram_config),
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model.safetensors", **vram_config),
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors", **vram_config),
],
tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
prompt = "精致肖像，水下少女，蓝裙飘逸，发丝轻扬，光影透澈，气泡环绕，面容恬静，细节精致，梦幻唯美。"
image = pipe(prompt, seed=0, num_inference_steps=40)
image.save("image.jpg")
报错：
Traceback (most recent call last):
File "/data/yhwang/qwenimage/./studiorun.py", line 30, in
image = pipe(prompt, seed=0, num_inference_steps=40)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/pipelines/qwen_image.py", line 161, in call
inputs_shared, inputs_posi, inputs_nega = self.unit_runner(unit, self, inputs_shared, inputs_posi, inputs_nega)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/diffusion/base_pipeline.py", line 424, in call
processor_outputs = unit.process(pipe, **processor_inputs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/pipelines/qwen_image.py", line 349, in process
split_hidden_states = self.encode_prompt(pipe, prompt)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/pipelines/qwen_image.py", line 316, in encode_prompt
hidden_states = pipe.text_encoder(input_ids=model_inputs.input_ids, attention_mask=model_inputs.attention_mask, output_hidden_states=True,)[-1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/models/qwen_image_text_encoder.py", line 172, in forward
outputs = self.model(
^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py", line 1313, in forward
outputs = self.language_model(
^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py", line 902, in forward
layer_outputs = decoder_layer(
^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/modeling_layers.py", line 94, in call
return super().call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py", line 753, in forward
hidden_states, self_attn_weights = self.self_attn(
^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/transformers/models/qwen2_5_vl/modeling_qwen2_5_vl.py", line 657, in forward
query_states = self.q_proj(hidden_states)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/xudong/miniconda3/envs/qwenimage/lib/python3.11/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl
return forward_call(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/core/vram/layers.py", line 428, in forward
if self.state == 1 and (self.vram_limit is None or self.check_free_vram()):
^^^^^^^^^^^^^^^^^^^^^^
File "/data/yhwang/qwenimage/DiffSynth-Studio/diffsynth/core/vram/layers.py", line 66, in check_free_vram
gpu_mem_state = getattr(torch, self.computation_device_type).mem_get_info(self.computation_device)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: attribute name must be string, not 'NoneType'

环境：RTX3090 有24GB显存，按理来说应该可以跑的

Reproduce the provided script and traceback, then start in diffsynth/core/vram/layers.py at check_free_vram and the failing forward path. Read the QwenImagePipeline prompt encoding path in diffsynth/pipelines/qwen_image.py and trace how the computation device is configured. Done means inference completes without the NoneType error and image.save("image.jpg") succeeds.