Having some issues running zerogpu I am getting a cap running out of quota issue I thought if I got the pro I would have a larger daily usage but am very confused.
ZeroGPU Pro users can run their applications for a significantly longer duration compared to free users due to a larger daily usage quota, but there is no set “maximum runtime” as it depends on factors like the model complexity and usage patterns; however, generally, Pro users can expect to run their applications for longer periods without hitting usage limits compared to free users
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also telling me to create a free user account to get more quota usage
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I wonder whether this is the same problem.
It seems to be different when I look at the screenshot carefully. In your case, I think that the login status is not being recognized from Spaces, and you are being treated as a guest, not even a user, let alone a Pro.
This symptom itself is common, but it is an error message that I don’t see very often. There are several possible causes, but if it is a minor problem, it may be fixed by loosening the settings of the browser’s ad blocker or cookies, or by turning off the VPN.
If it is a severe problem, it is faster to manually duplicate Spaces and upgrade it.
If you’re running your models via the gradio_client library you have to make your hf_token explicit in your code like so:
import gradio as gr
from gradio_client import Client, handle_file
def gen_image(prompt, control_image, width, height, history):
client = Client("yanze/PuLID-FLUX", hf_token="hf_***********************")
# Handle the uploaded control image
image_path = handle_file(control_image)
result = client.predict(
prompt=prompt,
id_image=image_path,
start_step=0,
guidance=4,
seed="-1",
true_cfg=1,
width=int(width),
height=int(height),
num_steps=20,
id_weight=1,
neg_prompt="bad quality, worst quality, text, signature, watermark, extra limbs",
timestep_to_start_cfg=1,
max_sequence_length=128,
api_name="/generate_image"
)
This is what solved the issue for me.
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