invoke-ai / InvokeAI

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.
https://invoke-ai.github.io/InvokeAI/
Apache License 2.0
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[bug]: #7155

Open z0rge opened 1 month ago

z0rge commented 1 month ago

Is there an existing issue for this problem?

Operating system

Windows

GPU vendor

Nvidia (CUDA)

GPU model

RTX4090 i9

GPU VRAM

64GB

Version number

5.2.0

Browser

Opera one 114.0.5282.102, Pinokio 2.15.1(with xformers)

Python dependencies

{ "accelerate": "0.30.1", "compel": "2.0.2", "cuda": "12.4", "diffusers": "0.27.2", "numpy": "1.26.4", "opencv": "4.9.0.80", "onnx": "1.16.1", "pillow": "11.0.0", "python": "3.10.6", "torch": "2.4.1+cu124", "torchvision": "0.19.1+cu124", "transformers": "4.41.1", "xformers": null }

What happened

Flux Union Controlnet doesn't work and give that in console [2024-10-21 18:32:27,967]::[InvokeAI]::ERROR --> Error while invoking session 0e026243-71a7-43be-9278-277eaed20c77, invocation 22120cc4-761a-4785-a870-06903a6fcc90 (flux_denoise): Error while deserializing header: MetadataIncompleteBuffer [2024-10-21 18:32:27,967]::[InvokeAI]::ERROR --> Traceback (most recent call last): File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\services\session_processor\session_processor_default.py", line 129, in run_node output = invocation.invoke_internal(context=context, services=self._services) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\invocations\baseinvocation.py", line 290, in invoke_internal output = self.invoke(context) File "D:_AI\Invokeai.venv\lib\site-packages\torch\utils_contextlib.py", line 116, in decorate_context return func(*args, **kwargs) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\invocations\flux_denoise.py", line 105, in invoke latents = self._run_diffusion(context) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\invocations\flux_denoise.py", line 210, in _run_diffusion controlnet_extensions = self._prep_controlnet_extensions( File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\invocations\flux_denoise.py", line 338, in _prep_controlnet_extensions controlnet_models = [context.models.load(controlnet.control_model) for controlnet in controlnets] File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\invocations\flux_denoise.py", line 338, in controlnet_models = [context.models.load(controlnet.control_model) for controlnet in controlnets] File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\services\shared\invocation_context.py", line 370, in load return self._services.model_manager.load.load_model(model, _submodel_type) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\app\services\model_load\model_load_default.py", line 70, in load_model ).load_model(model_config, submodel_type) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\backend\model_manager\load\load_default.py", line 56, in load_model locker = self._load_and_cache(model_config, submodel_type) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\backend\model_manager\load\load_default.py", line 77, in _load_and_cache loaded_model = self._load_model(config, submodel_type) File "D:_AI\Invokeai.venv\lib\site-packages\invokeai\backend\model_manager\load\model_loaders\flux.py", line 327, in _load_model sd = load_file(model_path) File "D:_AI\Invokeai.venv\lib\site-packages\safetensors\torch.py", line 311, in load_file with safe_open(filename, framework="pt", device=device) as f: safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer

What you expected to happen

I expected that Flux controlnet will work)

How to reproduce the problem

choose Flux Dev(Quanisated) add raster image and Flux Union Controlnet

Additional context

No response

Discord username

No response

psychedelicious commented 1 month ago

This error typically means the model didn't download fully. Try disabling it and re-downloading it.