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kousw / stable-diffusion-webui-daam

DAAM for Stable Diffusion Web UI
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RuntimeError: shape '[8, 1, 112, 74]' is invalid for input of size 67800 #34

Open tuankhai292002 opened 1 month ago

tuankhai292002 commented 1 month ago

Traceback (most recent call last): File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/call_queue.py", line 58, in f res = list(func(*args, kwargs)) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/call_queue.py", line 37, in f res = func(*args, *kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/img2img.py", line 232, in img2img processed = process_images(p) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/processing.py", line 677, in process_images res = process_images_inner(p) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/batch_hijack.py", line 59, in processing_process_images_hijack return getattr(processing, '__controlnet_original_process_images_inner')(p, args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/processing.py", line 794, in process_images_inner samples_ddim = p.sample(conditioning=p.c, unconditional_conditioning=p.uc, seeds=p.seeds, subseeds=p.subseeds, subseed_strength=p.subseed_strength, prompts=p.prompts) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 449, in process_sample return process.sample_before_CN_hack(*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/processing.py", line 1381, in sample samples = self.sampler.sample_img2img(self, self.init_latent, x, conditioning, unconditional_conditioning, image_conditioning=self.image_conditioning) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 434, in sample_img2img samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, extra_params_kwargs)) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 303, in launch_sampling return func() File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 434, in samples = self.launch_sampling(t_enc + 1, lambda: self.func(self.model_wrap_cfg, xi, extra_args=extra_args, disable=False, callback=self.callback_state, extra_params_kwargs)) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(*args, *kwargs) File "/base/stable-diffusion-v152/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 "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_samplers_kdiffusion.py", line 202, in forward x_out[a:b] = self.inner_model(x_in[a:b], sigma_in[a:b], cond=make_condition_dict(c_crossattn, image_cond_in[a:b])) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 112, in forward eps = self.get_eps(input c_in, self.sigma_to_t(sigma), kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/k-diffusion/k_diffusion/external.py", line 138, in get_eps return self.inner_model.apply_model(*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_hijack_utils.py", line 17, in setattr(resolved_obj, func_path[-1], lambda *args, *kwargs: self(args, kwargs)) File "/base/stable-diffusion-v152/stable-diffusion-webui/modules/sd_hijack_utils.py", line 28, in call return self.__orig_func(args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 858, in apply_model x_recon = self.model(x_noisy, t, cond) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/models/diffusion/ddpm.py", line 1335, in forward out = self.diffusion_model(x, t, context=cc) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/trace.py", line 41, in _forward super_return = hk_self.monkey_super('forward', args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/hook.py", line 65, in monkey_super return self.old_state[f'oldfn{fn_name}'](*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 874, in forward_webui raise e File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 871, in forward_webui return forward(*args, *kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/sd-webui-controlnet/scripts/hook.py", line 778, in forward h = module(h, emb, context) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/openaimodel.py", line 84, in forward x = layer(x, context) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 334, in forward x = block(x, context=context[i]) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 269, in forward return checkpoint(self._forward, (x, context), self.parameters(), self.checkpoint) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 121, in checkpoint return CheckpointFunction.apply(func, len(inputs), args) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/autograd/function.py", line 506, in apply return super().apply(args, kwargs) # type: ignore[misc] File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/diffusionmodules/util.py", line 136, in forward output_tensors = ctx.run_function(ctx.input_tensors) File "/base/stable-diffusion-v152/stable-diffusion-webui/repositories/stable-diffusion-stability-ai/ldm/modules/attention.py", line 273, in _forward x = self.attn2(self.norm2(x), context=context) + x File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, *kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/trace.py", line 285, in _forward out = hk_self._hooked_attention(self, q, k, v, batch_size, sequence_length, dim) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/trace.py", line 366, in _hooked_attention maps = hk_self._up_sample_attn(attn_slice, value, factor) File "/base/TuanKhai-Workspace/khai-envs/sd_v152/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 115, in decorate_context return func(args, kwargs) File "/base/stable-diffusion-v152/stable-diffusion-webui/extensions/stable-diffusion-webui-daam/scripts/daam/trace.py", line 238, in _up_sampleattn map = map.unsqueeze(1).view(map.size(0), 1, h, w) RuntimeError: shape '[8, 1, 112, 74]' is invalid for input of size 67800

concertypin commented 3 weeks ago

possible duplication of #23.