load checkpoint from https://storage.googleapis.com/sfr-vision-language-research/BLIP/models/model_base_caption_capfilt_large.pth
100%|████████████████████████████████████████| 890M/890M [00:08<00:00, 106MiB/s]
Error interrogating
Traceback (most recent call last):
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 137, in interrogate
caption = self.generate_caption(pil_image)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 122, in generate_caption
caption = self.blip_model.generate(gpu_image, sample=False, num_beams=shared.opts.interrogate_clip_num_beams, min_length=shared.opts.interrogate_clip_min_length, max_length=shared.opts.interrogate_clip_max_length)
File "/content/gdrive/MyDrive/sd/stable-diffusion/src/blip/models/blip.py", line 163, in generate
**model_kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/transformers/generation_utils.py", line 1207, in generate
self._validate_model_kwargs(model_kwargs.copy())
File "/usr/local/lib/python3.7/dist-packages/transformers/generation_utils.py", line 910, in _validate_model_kwargs
f"The following `model_kwargs` are not used by the model: {unused_model_args} (note: typos in the"
ValueError: The following `model_kwargs` are not used by the model: ['encoder_hidden_states', 'encoder_attention_mask'] (note: typos in the generate arguments will also show up in this list)
Traceback (most recent call last):
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 137, in interrogate
caption = self.generate_caption(pil_image)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 122, in generate_caption
caption = self.blip_model.generate(gpu_image, sample=False, num_beams=shared.opts.interrogate_clip_num_beams, min_length=shared.opts.interrogate_clip_min_length, max_length=shared.opts.interrogate_clip_max_length)
File "/content/gdrive/MyDrive/sd/stable-diffusion/src/blip/models/blip.py", line 163, in generate
**model_kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/autograd/grad_mode.py", line 27, in decorate_context
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/transformers/generation_utils.py", line 1207, in generate
self._validate_model_kwargs(model_kwargs.copy())
File "/usr/local/lib/python3.7/dist-packages/transformers/generation_utils.py", line 910, in _validate_model_kwargs
f"The following `model_kwargs` are not used by the model: {unused_model_args} (note: typos in the"
ValueError: The following `model_kwargs` are not used by the model: ['encoder_hidden_states', 'encoder_attention_mask'] (note: typos in the generate arguments will also show up in this list)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/gradio/routes.py", line 274, in run_predict
fn_index, raw_input, username, session_state, iterators
File "/usr/local/lib/python3.7/dist-packages/gradio/blocks.py", line 742, in process_api
result = await self.call_function(fn_index, inputs, iterator)
File "/usr/local/lib/python3.7/dist-packages/gradio/blocks.py", line 654, in call_function
block_fn.fn, *processed_input, limiter=self.limiter
File "/usr/local/lib/python3.7/dist-packages/anyio/to_thread.py", line 32, in run_sync
func, *args, cancellable=cancellable, limiter=limiter
File "/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py", line 937, in run_sync_in_worker_thread
return await future
File "/usr/local/lib/python3.7/dist-packages/anyio/_backends/_asyncio.py", line 867, in run
result = context.run(func, *args)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/ui.py", line 370, in interrogate
prompt = shared.interrogator.interrogate(image)
File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/modules/interrogate.py", line 167, in interrogate
res += "<error>"
TypeError: unsupported operand type(s) for +=: 'NoneType' and 'str'
This is what I'm getting: