Klace
commented
1 year ago Currently there is no support for over 77 tokens. This may sit on the back burner until integration with core pipeline.
On Tue, Jan 31, 2023, 4:31 PM Alex Semishan @.***> wrote:
Exception appears when put into Negative prompt more than 287 chars.
Details of environment you can find in the issue#54
Processing 1 image(s) 0%| | 0/70 [00:00<?, ?it/s] Traceback (most recent call last): File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 337, in run_predict output = await app.get_blocks().process_api( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1015, in process_api result = await self.call_function( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 833, in call_function prediction = await anyio.to_thread.run_sync( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 306, in generate raise e File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 277, in generate z = sampler_function(model_wrap_cfg, z, sigmas, extra_args) File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(args, kwargs) File "C:\AI\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral denoised = model(x, sigmas[i] * s_in, *extra_args) File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(input, kwargs) File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 323, in forward "c_crossattn": [torch.cat([cond["c_crossattn"][0], uncond["c_crossattn"][0], uncond["c_crossattn"][0]])], RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 77 but got size 154 for tensor number 1 in the list.
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Exception appears when put into Negative prompt more than 287 chars.
Details of environment you can find in the issue#54
Processing 1 image(s) 0%| | 0/70 [00:00<?, ?it/s] Traceback (most recent call last): File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\routes.py", line 337, in run_predict output = await app.get_blocks().process_api( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 1015, in process_api result = await self.call_function( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\gradio\blocks.py", line 833, in call_function prediction = await anyio.to_thread.run_sync( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 867, in run result = context.run(func, *args) File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 306, in generate raise e File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 277, in generate z = sampler_function(model_wrap_cfg, z, sigmas, extra_args) File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "C:\AI\stable-diffusion-webui\repositories\k-diffusion\k_diffusion\sampling.py", line 145, in sample_euler_ancestral denoised = model(x, sigmas[i] * s_in, **extra_args) File "C:\AI\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1194, in _call_impl return forward_call(*input, **kwargs) File "C:\AI\stable-diffusion-webui\extensions\stable-diffusion-webui-instruct-pix2pix\scripts\instruct-pix2pix.py", line 323, in forward "c_crossattn": [torch.cat([cond["c_crossattn"][0], uncond["c_crossattn"][0], uncond["c_crossattn"][0]])], RuntimeError: Sizes of tensors must match except in dimension 0. Expected size 77 but got size 154 for tensor number 1 in the list.