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python code not working
from gradio_client import Client, handle_file
Define the API endpoint and input file
client = Client("https://jeffreyxiang-trellis.hf.space")
file_path = "https://www.larousse.fr/encyclopedie/data/images/1002997-Lama.jpg"
try:
# Attempt to call the API
result = client.predict(
image=handle_file(file_path), # Input image file
multiimages=[], # Optional additional images
seed=0, # Random seed
ss_guidance_strength=7.5, # Guidance strength for single image
ss_sampling_steps=12, # Sampling steps for single image
slat_guidance_strength=3, # Guidance strength for slat
slat_sampling_steps=12, # Sampling steps for slat
multiimage_algo="stochastic", # Algorithm for multi-image processing
api_name="/image_to_3d" # API endpoint for the task
)
# Print the successful result
print("3D Asset Generation Result:", result)
except Exception as e:
# Log the error details
print("An error occurred during API interaction:")
print(e)
error :
nc@MacBookPro code-ressources % /usr/local/bin/python /Users/nc/code-ressources/scripts/3d/generate.py
Loaded as API: https://jeffreyxiang-trellis.hf.space/ ✔
An error occurred during API interaction:
The upstream Gradio app has raised an exception but has not enabled verbose error reporting. To enable, set show_error=True in launch().
I could work with API correctly but I have a big problem with multiimages.
When I put more pictures in the multiimages[] argument. Without getting an error, the work is done, but it only uses the same photo as given in the image argument, and it actually only works with a single photo. If it works with multiple photos through the site and how amazingly it optimizes the output 3D model. Thank you for helping me.
@JeffreyXiang
Thanks a lot
@mdgh68 In the demo gradio code, the is_multiimage gr.State control if the multi image mode is enabled. I hope this is helpful to you.
Hi again and thanks for your answer.
@JeffreyXiang
I used this API (like example) :
from gradio_client import Client, handle_file
client = Client("JeffreyXiang/TRELLIS")
result = client.predict(
image=handle_file('https://raw.githubusercontent.com/gradio-app/gradio/main/test/test_files/bus.png'),
multiimages=[],
seed=0,
ss_guidance_strength=7.5,
ss_sampling_steps=12,
slat_guidance_strength=3,
slat_sampling_steps=12,
multiimage_algo="stochastic",
api_name="/image_to_3d"
)
print(result)
when I fill 'image' or 'multiimages' both will use just 'image' address to creating 3d model. I guess for multi image mode 'api_name' may should be different or other parameters. can you help me?
use chatgpt to correct