Instant-id return black image and report invalid value encountered in cast

[dannyweng88122]

Describe the bug
When I executed this jupyter it reports "C:\Users\tester\Desktop\test\openvino_notebooks\openvino_env\Lib\site-packages\diffusers\image_processor.py:147: RuntimeWarning: invalid value encountered in cast
images = (images * 255).round().astype("uint8")" and return the black image

Expected behavior
A clear and concise description of what you expected to happen.

Screenshots

Installation instructions (Please mark the checkbox)
[x] I followed the installation guide at https://github.com/openvinotoolkit/openvino_notebooks#-installation-guide to install the notebooks.

Additional context
Add any other context about the problem here.

[Aznie-Intel]

Hi @dannyweng88122 Which Jupyter notebook you are running?

[dannyweng88122]

Hi @Aznie-Intel,

My installation package version is like below,

PS C:\Users\tester\Desktop\test\openvino_notebooks> pip freeze
about-time==4.2.1
accelerate==1.2.1
aiofiles==23.2.1
aiohappyeyeballs==2.4.4
aiohttp==3.11.11
aiosignal==1.3.2
alive-progress==3.2.0
annotated-types==0.7.0
anyio==4.7.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
async-lru==2.0.4
attrs==24.3.0
autograd==1.7.0
babel==2.16.0
beautifulsoup4==4.12.3
bleach==6.2.0
certifi==2024.12.14
cffi==1.17.1
charset-normalizer==3.4.1
click==8.1.8
cma==3.2.2
colorama==0.4.6
comm==0.2.2
contourpy==1.3.1
cycler==0.12.1
datasets==3.2.0
debugpy==1.8.11
decorator==5.1.1
defusedxml==0.7.1
Deprecated==1.2.15
diffusers==0.32.1
dill==0.3.8
executing==2.1.0
fastapi==0.115.6
fastjsonschema==2.21.1
ffmpy==0.5.0
filelock==3.16.1
fonttools==4.55.3
fqdn==1.5.1
frozenlist==1.5.0
fsspec==2024.9.0
gdown==5.2.0
gradio==5.9.1
gradio_client==1.5.2
grapheme==0.6.0
h11==0.14.0
httpcore==1.0.7
httpx==0.28.1
huggingface-hub==0.27.0
idna==3.10
imageio==2.36.1
importlib_metadata==8.5.0
ipykernel==6.29.5
ipython==8.31.0
ipywidgets==8.1.5
isoduration==20.11.0
jedi==0.19.2
Jinja2==3.1.5
joblib==1.4.2
json5==0.10.0
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jstyleson==0.0.2
jupyter-events==0.11.0
jupyter-lsp==2.2.5
jupyter_client==8.6.3
jupyter_core==5.7.2
jupyter_server==2.15.0
jupyter_server_terminals==0.5.3
jupyterlab==4.3.4
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.13
kiwisolver==1.4.8
lazy_loader==0.4
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.10.0
matplotlib-inline==0.1.7
mdurl==0.1.2
mistune==3.1.0
mpmath==1.3.0
multidict==6.1.0
multiprocess==0.70.16
natsort==8.4.0
nbclient==0.10.2
nbconvert==7.16.4
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.3
ninja==1.11.1.3
nncf==2.14.1
notebook_shim==0.2.4
numpy==2.1.3
opencv-python==4.10.0.84
openvino==2024.6.0
openvino-telemetry==2024.5.0
orjson==3.10.13
overrides==7.7.0
packaging==24.2
pandas==2.2.3
pandocfilters==1.5.1
parso==0.8.4
peft==0.14.0
pillow==11.0.0
platformdirs==4.3.6
prometheus_client==0.21.1
prompt_toolkit==3.0.48
propcache==0.2.1
psutil==6.1.1
pure_eval==0.2.3
pyarrow==18.1.0
pycparser==2.22
pydantic==2.10.4
pydantic_core==2.27.2
pydot==2.0.0
pydub==0.25.1
Pygments==2.18.0
pymoo==0.6.1.3
pyparsing==3.2.0
PySocks==1.7.1
python-dateutil==2.9.0.post0
python-json-logger==3.2.1
python-multipart==0.0.20
pytz==2024.2
pywin32==308
pywinpty==2.0.14
PyYAML==6.0.2
pyzmq==26.2.0
referencing==0.35.1
regex==2024.11.6
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.9.4
rpds-py==0.22.3
ruff==0.8.4
safehttpx==0.1.6
safetensors==0.4.5
scikit-image==0.25.0
scikit-learn==1.6.0
scipy==1.14.1
semantic-version==2.10.0
Send2Trash==1.8.3
shellingham==1.5.4
six==1.17.0
sniffio==1.3.1
soupsieve==2.6
stack-data==0.6.3
starlette==0.41.3
sympy==1.13.1
tabulate==0.9.0
terminado==0.18.1
threadpoolctl==3.5.0
tifffile==2024.12.12
tinycss2==1.4.0
tokenizers==0.21.0
tomlkit==0.13.2
torch==2.5.1
tornado==6.4.2
tqdm==4.67.1
traitlets==5.14.3
transformers==4.47.1
typer==0.15.1
types-python-dateutil==2.9.0.20241206
typing_extensions==4.12.2
tzdata==2024.2
uri-template==1.3.0
urllib3==2.3.0
uvicorn==0.34.0
wcwidth==0.2.13
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
websockets==14.1
widgetsnbextension==4.0.13
wrapt==1.17.0
xxhash==3.5.0
yarl==1.18.3
zipp==3.21.0

[Aznie-Intel]

I am currently running the InstantID Jupyter notebook from OpenVINO and successfully generating the output image shown below:

Are you able to run this notebook on your system?

[dannyweng88122]

I also successfully completed the steps you showed but I get an error when executing ov_pipe.
Please help to check this error.

Run inference steps:

[Aznie-Intel]

Hi @dannyweng88122 , I encountered the same error when running with FP32, as shown below. However, I was able to run the code with FP16, although the generated image output remains blank.

FP32:

FP16:

I will forward this issue to the relevant team for further review and will keep you updated with any progress.