ValueError: zero-size array to reduction operation minimum which has no identity

[openwaterer]

When I enter segmentation prompt ,For example“girl” It will report an error.，

To create a public link, set share=True in launch().
[AgentScheduler] Task queue is empty
[AgentScheduler] Registering APIs
Startup time: 27.9s (import torch: 1.4s, import gradio: 1.3s, import ldm: 0.7s, other imports: 0.7s, load scripts: 6.8s, create ui: 13.7s, gradio launch: 2.5s, add APIs: 0.1s, app_started_callback: 0.5s).
Traceback (most recent call last):
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/routes.py", line 422, in run_predict
output = await app.get_blocks().process_api(
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1323, in process_api
result = await self.call_function(
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/gradio/blocks.py", line 1051, in call_function
prediction = await anyio.to_thread.run_sync(
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "/root/stable-diffusion-webui/venv/lib/python3.10/site-packages/anyio/_backends/_asyncio.py", line 807, in run
result = context.run(func, *args)
File "/root/stable-diffusion-webui/extensions/PBRemTools/scripts/tools.py", line 32, in processing
processed = process_image(single_image, *rem_args)
File "/root/stable-diffusion-webui/extensions/PBRemTools/scripts/tools.py", line 80, in process_image
mask, image = get_foreground(image, *rem_args)
File "/root/stable-diffusion-webui/extensions/PBRemTools/scripts/td_abg.py", line 108, in get_foreground
mask = get_sa_mask(img, query, model_name, predicted_iou_threshold, stability_score_threshold, clip_threshold)
File "/root/stable-diffusion-webui/extensions/PBRemTools/scripts/sa_mask.py", line 168, in get_sa_mask
combined_mask = np.minimum.reduce(mask_list)
ValueError: zero-size array to reduction operation minimum which has no identity

[zhangwenhao666]

i got the same error ,don't know what's wrong.I filled in the keywords in the segmentation prompt column and reported an error

[wereretot]

@zhangwenhao666 The reason this error occurs is the model cannot find what you are trying to keep in the image. Try reducing "predicted_iou_threshold" and or "stability_score_threshold" and see if it helps.

[wereretot]

Also clip_threshold.