RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

[HoboSenpai]

Adding "--no-half" to "set COMMANDLINE_ARGS=" fixes this however generations are being done on CPU rather then GPU (whish is not ideal). it originally worked on GPU just fine however the last time i closed and reopened it stopped working. followed the same AMD windows installation guide.

venv "C:\stable diffusion\stable-diffusion-webui-directml\venv\Scripts\Python.exe"
fatal: No names found, cannot describe anything.
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: 1.7.0
Commit hash: 668ee14
Launching Web UI with arguments: --skip-torch-cuda-test
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Style database not found: C:\stable diffusion\stable-diffusion-webui-directml\styles.csv
Warning: caught exception 'Found no NVIDIA driver on your system. Please check that you have an NVIDIA GPU and installed a driver from http://www.nvidia.com/Download/index.aspx', memory monitor disabled
Loading weights [6ce0161689] from C:\stable diffusion\stable-diffusion-webui-directml\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors

Creating model from config: C:\stable diffusion\stable-diffusion-webui-directml\configs\v1-inference.yaml
Startup time: 7.0s (prepare environment: 0.2s, import torch: 2.4s, import gradio: 0.8s, setup paths: 0.7s, initialize shared: 0.4s, other imports: 0.6s, load scripts: 1.0s, create ui: 0.3s, gradio launch: 0.4s).
Applying attention optimization: InvokeAI... done.
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "C:\Users\MrHob\AppData\Local\Programs\Python\Python310\lib\threading.py", line 973, in _bootstrap
self._bootstrap_inner()
File "C:\Users\MrHob\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
self.run()
File "C:\Users\MrHob\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
self._target(*self._args, **self._kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\initialize.py", line 147, in load_model
shared.sd_model # noqa: B018
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\shared_items.py", line 128, in sd_model
return modules.sd_models.model_data.get_sd_model()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_models.py", line 576, in get_sd_model
load_model()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_models.py", line 746, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_models.py", line 628, in get_empty_cond
return sd_model.cond_stage_model([""])
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 273, in process_tokens
z = self.encode_with_transformers(tokens)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 326, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 740, in forward
encoder_outputs = self.encoder(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 654, in forward
layer_outputs = encoder_layer(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 382, in forward
hidden_states = self.layer_norm1(hidden_states)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\extensions-builtin\Lora\networks.py", line 531, in network_LayerNorm_forward
return originals.LayerNorm_forward(self, input)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward
return F.layer_norm(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

Stable diffusion model failed to load
Traceback (most recent call last):
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
result = await self.call_function(
Exception in thread Thread-16 (load_model):
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
Traceback (most recent call last):
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
File "C:\Users\MrHob\AppData\Local\Programs\Python\Python310\lib\threading.py", line 1016, in _bootstrap_inner
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
self.run()
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "C:\Users\MrHob\AppData\Local\Programs\Python\Python310\lib\threading.py", line 953, in run
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(*args, **kwargs)
self._target(*self._args, **self._kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks.py", line 419, in pages_html
return refresh()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\initialize.py", line 153, in load_model
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks.py", line 425, in refresh
pg.refresh()
devices.first_time_calculation()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks_textual_inversion.py", line 15, in refresh
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\devices.py", line 177, in first_time_calculation
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 222, in load_textual_inversion_embeddings
self.expected_shape = self.get_expected_shape()
linear(x)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 154, in get_expected_shape
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in call_impl
AttributeError: 'NoneType' object has no attribute 'cond_stage_model'
return forward_call(*args, **kwargs)
Traceback (most recent call last):
File "C:\stable diffusion\stable-diffusion-webui-directml\extensions-builtin\Lora\networks.py", line 486, in network_Linear_forward
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\routes.py", line 488, in run_predict
output = await app.get_blocks().process_api(
return originals.Linear_forward(self, input)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1431, in process_api
result = await self.call_function(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\linear.py", line 114, in forward
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\blocks.py", line 1103, in call_function
prediction = await anyio.to_thread.run_sync(
return F.linear(input, self.weight, self.bias)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
return await get_asynclib().run_sync_in_worker_thread(
RuntimeError: "addmm_impl_cpu" not implemented for 'Half'
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 877, in run_sync_in_worker_thread
return await future
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\anyio_backends_asyncio.py", line 807, in run
result = context.run(func, *args)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\gradio\utils.py", line 707, in wrapper
response = f(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks.py", line 419, in pages_html
return refresh()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks.py", line 425, in refresh
pg.refresh()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\ui_extra_networks_textual_inversion.py", line 15, in refresh
sd_hijack.model_hijack.embedding_db.load_textual_inversion_embeddings(force_reload=True)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 222, in load_textual_inversion_embeddings
self.expected_shape = self.get_expected_shape()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\textual_inversion\textual_inversion.py", line 154, in get_expected_shape
vec = shared.sd_model.cond_stage_model.encode_embedding_init_text(",", 1)
AttributeError: 'NoneType' object has no attribute 'cond_stage_model'
Using already loaded model v1-5-pruned-emaonly.safetensors [6ce0161689]: done in 0.0s
*** Error completing request
*** Arguments: ('task(2d2y3m0da9cc81p)', 'bgvfd', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], <gradio.routes.Request object at 0x000001DE4D23EB00>, 0, False, '', 0.8, -1, False, -1, 0, 0, 0, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0, False) {}
Traceback (most recent call last):
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\call_queue.py", line 36, in f
res = func(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\txt2img.py", line 64, in txt2img
processed = processing.process_images(p)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\processing.py", line 735, in process_images
res = process_images_inner(p)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\processing.py", line 861, in process_images_inner
p.setup_conds()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\processing.py", line 1312, in setup_conds
super().setup_conds()
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\processing.py", line 469, in setup_conds
self.uc = self.get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, total_steps, [self.cached_uc], self.extra_network_data)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\processing.py", line 455, in get_conds_with_caching
cache[1] = function(shared.sd_model, required_prompts, steps, hires_steps, shared.opts.use_old_scheduling)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\prompt_parser.py", line 188, in get_learned_conditioning
conds = model.get_learned_conditioning(texts)
File "C:\stable diffusion\stable-diffusion-webui-directml\repositories\stable-diffusion-stability-ai\ldm\models\diffusion\ddpm.py", line 669, in get_learned_conditioning
c = self.cond_stage_model(c)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 273, in process_tokens
z = self.encode_with_transformers(tokens)
File "C:\stable diffusion\stable-diffusion-webui-directml\modules\sd_hijack_clip.py", line 326, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 740, in forward
encoder_outputs = self.encoder(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 654, in forward
layer_outputs = encoder_layer(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 382, in forward
hidden_states = self.layer_norm1(hidden_states)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\module.py", line 1501, in _call_impl
return forward_call(*args, **kwargs)
File "C:\stable diffusion\stable-diffusion-webui-directml\extensions-builtin\Lora\networks.py", line 531, in network_LayerNorm_forward
return originals.LayerNorm_forward(self, input)
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\modules\normalization.py", line 190, in forward
return F.layer_norm(
File "C:\stable diffusion\stable-diffusion-webui-directml\venv\lib\site-packages\torch\nn\functional.py", line 2515, in layer_norm
return torch.layer_norm(input, normalized_shape, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

[Xinxin-m]

Same issue