RuntimeError: "LayerNormKernelImpl" not implemented for 'Half'

[dev-kaushik-roy]

Hi I am new to this project and trying to generate text to Images. I have successfully installed the project on the local system. However I am getting an error while trying to generate image. Please help!

System configuration:
Windows 11
Python 3.10.9
Ram 8GB
GPU: NA

Error Stack trace:

Arguments: ('task(f70xzs8vu19y1dx)', 'cookie monster, in the road, photo realistic', '', [], 20, 0, False, False, 1, 1, 7, -1.0, -1.0, 0, 0, 0, False, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, [], 0, False, False, 'positive', 'comma', 0, False, False, '', 1, '', 0, '', 0, '', True, False, False, False, 0) {}

Traceback (most recent call last):

File "C:\DUMMY\stable-diffusion-webui\modules\call_queue.py", line 56, in f

res = list(func(*args, **kwargs))

File "C:\DUMMY\stable-diffusion-webui\modules\call_queue.py", line 37, in f

res = func(*args, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\modules[txt2img.py](https://txt2img.py/)", line 56, in txt2img

processed = process_images(p)

File "C:\DUMMY\stable-diffusion-webui\modules[processing.py](https://processing.py/)", line 503, in process_images

res = process_images_inner(p)

File "C:\DUMMY\stable-diffusion-webui\modules[processing.py](https://processing.py/)", line 642, in process_images_inner

uc = get_conds_with_caching(prompt_parser.get_learned_conditioning, negative_prompts, p.steps, cached_uc)

File "C:\DUMMY\stable-diffusion-webui\modules[processing.py](https://processing.py/)", line 587, in get_conds_with_caching

cache[1] = function(shared.sd_model, required_prompts, steps)

File "C:\DUMMY\stable-diffusion-webui\modules\prompt_parser.py", line 140, in get_learned_conditioning

conds = model.get_learned_conditioning(texts)

File "C:\DUMMY\stable-diffusion-webui\repositories\stable-diffusion-stability-ai\ldm\models\diffusion[ddpm.py](https://ddpm.py/)", line 669, in get_learned_conditioning

c = self.cond_stage_model(c)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\modules\sd_hijack_clip.py", line 229, in forward

z = self.process_tokens(tokens, multipliers)

File "C:\DUMMY\stable-diffusion-webui\modules\sd_hijack_clip.py", line 254, in process_tokens

z = self.encode_with_transformers(tokens)

File "C:\DUMMY\stable-diffusion-webui\modules\sd_hijack_clip.py", line 302, in encode_with_transformers

outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 811, in forward

return self.text_model(

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 721, in forward

encoder_outputs = self.encoder(

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 650, in forward

layer_outputs = encoder_layer(

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 378, in forward

hidden_states = self.layer_norm1(hidden_states)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[module.py](https://module.py/)", line 1194, in _call_impl

return forward_call(*input, **kwargs)

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules[normalization.py](https://normalization.py/)", line 190, in forward

return F.layer_norm(

File "C:\DUMMY\stable-diffusion-webui\venv\lib\site-packages\torch\nn[functional.py](https://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'