8.6.0 diffusion demo txt2img not working
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Description
Description
I try to run by instructions
and on step
python3 demo_txt2img.py "a beautiful photograph of Mt. Fuji during cherry blossom" --hf-token=$HF_TOKEN -v
I encounter the error
[E] ModelImporter.cpp:726: While parsing node number 7 [LayerNormalization -> "/text_model/encoder/layers.0/layer_norm1/LayerNormalization_output_0"]:
[E] ModelImporter.cpp:727: --- Begin node ---
[E] ModelImporter.cpp:728: input: "/text_model/embeddings/Add_output_0"
input: "text_model.encoder.layers.0.layer_norm1.weight"
input: "text_model.encoder.layers.0.layer_norm1.bias"
output: "/text_model/encoder/layers.0/layer_norm1/LayerNormalization_output_0"
name: "/text_model/encoder/layers.0/layer_norm1/LayerNormalization"
op_type: "LayerNormalization"
attribute {
name: "axis"
i: -1
type: INT
}
attribute {
name: "epsilon"
f: 1e-05
type: FLOAT
}
[E] ModelImporter.cpp:729: --- End node ---
[E] ModelImporter.cpp:732: ERROR: builtin_op_importers.cpp:5428 In function importFallbackPluginImporter:
[8] Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?"
[E] In node 7 (importFallbackPluginImporter): UNSUPPORTED_NODE: Assertion failed: creator && "Plugin not found, are the plugin name, version, and namespace correct?"
[!] Could not parse ONNX correctly
[0] 0:[tmux]* "root@5100eb7a428b: /w" 16:17 17-Mar-23
Environment
TensorRT Version:
NVIDIA GPU:
NVIDIA Driver Version:
CUDA Version:
CUDNN Version:
Operating System:
Python Version (if applicable):
Tensorflow Version (if applicable):
PyTorch Version (if applicable):
Baremetal or Container (if so, version):
Relevant Files
Steps To Reproduce
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with demo_txt2img.py and reproduce the documented command, then inspect the ModelImporter error for the LayerNormalization node. Collect the missing TensorRT, GPU, driver, CUDA, cuDNN, OS, Python, and container details and compare the failing ONNX import with the expected demo setup. Done means the cause is identified and the diffusion demo runs successfully, or the issue is narrowed to a reproducible importer failure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100