[Bug]: Stable diffusion model failed to load when using --precision half in command line and enable FP8

[licyk]

Checklist

• The issue exists after disabling all extensions
• The issue exists on a clean installation of webui
• The issue is caused by an extension, but I believe it is caused by a bug in the webui
• The issue exists in the current version of the webui
• The issue has not been reported before recently
• The issue has been reported before but has not been fixed yet

What happened?

I switched the branch of sd webui to the dev branch, and used git pull to ensure that sd webui is the latest version. Then I used the following command to start sd webui.

python launch.py --xformers --precision half

Before this, I had already enabled fp8, so after starting sd webui with the above command, there was a model loading failure.

Steps to reproduce the problem

1. switch sd webui branch to the dev branch.
2. Using git pull to latest version. The current sd webui version hash：a30b19d
3. Using this command to start sd webui.

python launch.py --xformers --precision half

4. Loading SDXL model.
5. Then Failed.

What should have happened?

The SDXL model is able to load properly.

What browsers do you use to access the UI ?

No response

Sysinfo

sysinfo-2024-07-01-15-40.json

Console logs

Python 3.10.11 (tags/v3.10.11:7d4cc5a, Apr  5 2023, 00:38:17) [MSC v.1929 64 bit (AMD64)]
Version: v1.9.4-169-ga30b19dd
Commit hash: a30b19dd5536f463222e484aef2daf466b49ee85
Launching Web UI with arguments: --xformers --precision half
ldm/sgm GroupNorm32 replaced with normal torch.nn.GroupNorm due to `--precision half`.
Loading weights [e3c47aedb0] from E:\Softwares\stable-diffusion-webui\models\Stable-diffusion\animagine-xl-3.1.safetensors
Running on local URL:  http://127.0.0.1:7860
Creating model from config: E:\Softwares\stable-diffusion-webui\repositories\generative-models\configs\inference\sd_xl_base.yaml
E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\huggingface_hub\file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.
  warnings.warn(

To create a public link, set `share=True` in `launch()`.
Startup time: 13.3s (prepare environment: 2.3s, import torch: 3.9s, import gradio: 0.8s, setup paths: 1.4s, initialize shared: 0.8s, other imports: 0.6s, load scripts: 0.4s, create ui: 0.3s, gradio launch: 2.7s).
Loading VAE weights specified in settings: E:\Softwares\stable-diffusion-webui\models\VAE\sdxl_fp16_fix_vae.safetensors
Applying attention optimization: xformers... done.
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
  File "D:\Softwares\Python310\lib\threading.py", line 973, in _bootstrap
    self._bootstrap_inner()
  File "D:\Softwares\Python310\lib\threading.py", line 1016, in _bootstrap_inner
    self.run()
  File "D:\Softwares\Python310\lib\threading.py", line 953, in run
    self._target(*self._args, **self._kwargs)
  File "E:\Softwares\stable-diffusion-webui\modules\initialize.py", line 149, in load_model
    shared.sd_model  # noqa: B018
  File "E:\Softwares\stable-diffusion-webui\modules\shared_items.py", line 175, in sd_model
    return modules.sd_models.model_data.get_sd_model()
  File "E:\Softwares\stable-diffusion-webui\modules\sd_models.py", line 648, in get_sd_model
    load_model()
  File "E:\Softwares\stable-diffusion-webui\modules\sd_models.py", line 800, in load_model
    sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
  File "E:\Softwares\stable-diffusion-webui\modules\sd_models.py", line 683, in get_empty_cond
    d = sd_model.get_learned_conditioning([""])
  File "E:\Softwares\stable-diffusion-webui\modules\sd_models_xl.py", line 32, in get_learned_conditioning
    c = self.conditioner(sdxl_conds, force_zero_embeddings=['txt'] if force_zero_negative_prompt else [])
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\repositories\generative-models\sgm\modules\encoders\modules.py", line 141, in forward
    emb_out = embedder(batch[embedder.input_key])
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\modules\sd_hijack_clip.py", line 234, in forward
    z = self.process_tokens(tokens, multipliers)
  File "E:\Softwares\stable-diffusion-webui\modules\sd_hijack_clip.py", line 276, in process_tokens
    z = self.encode_with_transformers(tokens)
  File "E:\Softwares\stable-diffusion-webui\modules\sd_hijack_clip.py", line 354, in encode_with_transformers
    outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=self.wrapped.layer == "hidden")
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
    return self.text_model(
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 740, in forward
    encoder_outputs = self.encoder(
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 654, in forward
    layer_outputs = encoder_layer(
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 383, in forward
    hidden_states, attn_weights = self.self_attn(
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\transformers\models\clip\modeling_clip.py", line 272, in forward
    query_states = self.q_proj(hidden_states) * self.scale
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1532, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\module.py", line 1541, in _call_impl
    return forward_call(*args, **kwargs)
  File "E:\Softwares\stable-diffusion-webui\extensions-builtin\Lora\networks.py", line 527, in network_Linear_forward
    return originals.Linear_forward(self, input)
  File "E:\Softwares\stable-diffusion-webui\venv\lib\site-packages\torch\nn\modules\linear.py", line 116, in forward
    return F.linear(input, self.weight, self.bias)
RuntimeError: mat1 and mat2 must have the same dtype, but got Half and Float8_e4m3fn


Stable diffusion model failed to load

Additional information

No response