Prediction command typo

[rando128]

I think there is a typo in the basic prediction command. I had to add -i before the prompt part for the command to be correctly interpreted.

cog predict -i image=@test_images/bedroom_3.jpg -i prompt="A bedroom with a bohemian spirit centered around a relaxed canopy bed complemented by a large macrame wall hanging. An eclectic dresser serves as a unique storage solution while an array of potted plants brings life and color to the room"

[polalbacar]

@rando128 and that worked for you?

When I run the command:
cog predict -i image=@test_images/bedroom_3.jpg -i prompt="A bedroom with a bohemian spirit centered around a relaxed canopy bed complemented by a large macrame wall hanging. An eclectic dresser serves as a unique storage solution while an array of potted plants brings life and color to the room"

I face the following issue:
Unknown option -i

[rando128]

On windows 11, WSL2, I do need the extra -i to make it work

rando128@dev:/mnt/AI/sd-interior-design$ cog predict -i image=@test_images/bedroom_3.jpg -i prompt="A bedroom with a bohemian spirit centered around a relaxed canopy bed complemented by a large macrame wall hanging. An eclectic dresser serves as a unique storage solution while an array of potted plants brings life and color to the room"
Building Docker image from environment in cog.yaml...
[+] Building 2.1s (13/13) FINISHED                                                                                                                                                                      docker:default
 => [internal] load build definition from Dockerfile                                                                                                                                                              0.0s
 => => transferring dockerfile: 439B                                                                                                                                                                              0.0s
 => resolve image config for docker.io/docker/dockerfile:1.4                                                                                                                                                      1.0s
 => CACHED docker-image://docker.io/docker/dockerfile:1.4@sha256:9ba7531bd80fb0a858632727cf7a112fbfd19b17e94c4e84ced81e24ef1a0dbc                                                                                 0.0s
 => [internal] load .dockerignore                                                                                                                                                                                 0.0s
 => => transferring context: 374B                                                                                                                                                                                 0.0s
 => [internal] load metadata for r8.im/cog-base:cuda11.8-python3.11                                                                                                                                               0.9s
 => [internal] load build context                                                                                                                                                                                 0.0s
 => => transferring context: 404B                                                                                                                                                                                 0.0s
 => [stage-0 1/5] FROM r8.im/cog-base:cuda11.8-python3.11@sha256:0236faa635dfeb9bd0c89b1451ff9e2cb307a200b1ba6f6f84e088c8bf56000f                                                                                 0.0s
 => CACHED [stage-0 2/5] RUN --mount=type=cache,target=/var/cache/apt,sharing=locked apt-get update -qq && apt-get install -qqy  && rm -rf /var/lib/apt/lists/*                                                   0.0s
 => CACHED [stage-0 3/5] COPY .cog/tmp/build20240823211127.9959563440740036/requirements.txt /tmp/requirements.txt                                                                                                0.0s
 => CACHED [stage-0 4/5] RUN pip install -r /tmp/requirements.txt                                                                                                                                                 0.0s
 => CACHED [stage-0 5/5] WORKDIR /src                                                                                                                                                                             0.0s
 => preparing layers for inline cache                                                                                                                                                                             0.0s
 => exporting to image                                                                                                                                                                                            0.0s
 => => exporting layers                                                                                                                                                                                           0.0s
 => => writing image sha256:0dcab56e1c6b6f73014bd9efb2d3d02d55a692b2c246c3c635c6b7cd96d6bb61                                                                                                                      0.0s
 => => naming to docker.io/library/cog-sd-interior-design-base                                                                                                                                                    0.0s

Starting Docker image cog-sd-interior-design-base and running setup()...
The cache for model files in Transformers v4.22.0 has been updated. Migrating your old cache. This is a one-time only operation. You can interrupt this and resume the migration later on by calling `transformers.utils.move_cache()`.
0it [00:00, ?it/s]
/root/.pyenv/versions/3.11.9/lib/python3.11/site-packages/huggingface_hub/file_download.py:1150: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
warnings.warn(
The config attributes {'dropout': 0.0, 'sample_size': 32} were passed to ControlNetModel, but are not expected and will be ignored. Please verify your config.json configuration file.
......