TypeError: 'NoneType' object is not iterable, CUDA error: invalid argument

Nobody has claimed this yet.

### Checklist

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

### What happened?

cannot generate any images as model cannot be loaded

### Steps to reproduce the problem

1. Download Feb 5 one click installation package
2. Run update.bat
3. Run run.bat
4. Use some model
5. Try to generate an image

### What should have happened?

Model should generate image

### What browsers do you use to access the UI ?

Google Chrome, Microsoft Edge

### Sysinfo

[sysinfo-2024-03-21-18-19.json](https://github.com/lllyasviel/stable-diffusion-webui-forge/files/14705434/sysinfo-2024-03-21-18-19.json)

### Console logs

```Shell
Python 3.10.6 (tags/v3.10.6:9c7b4bd, Aug 1 2022, 21:53:49) [MSC v.1932 64 bit (AMD64)]
Version: f0.0.17v1.8.0rc-latest-276-g29be1da7
Commit hash: 29be1da7cf2b5dccfc70fbdd33eb35c56a31ffb7
Launching Web UI with arguments:
Total VRAM 6128 MB, total RAM 32122 MB
Set vram state to: NORMAL_VRAM
Device: cuda:0 AMD Radeon RX 5600M [ZLUDA] : native
VAE dtype: torch.bfloat16
CUDA Stream Activated: False
Using pytorch cross attention
ControlNet preprocessor location: D:\AI\StableDiffusion\New folder (2)\webui\models\ControlNetPreprocessor
Loading weights [6ce0161689] from D:\AI\StableDiffusion\New folder (2)\webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
2024-03-21 23:51:49,199 - ControlNet - INFO - ControlNet UI callback registered.
model_type EPS
UNet ADM Dimension 0
Running on local URL: http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 24.2s (prepare environment: 6.0s, import torch: 7.3s, import gradio: 2.0s, setup paths: 1.7s, initialize shared: 0.2s, other imports: 1.3s, load scripts: 3.9s, create ui: 1.1s, gradio launch: 0.5s).
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod'])
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 6001.9990234375
[Memory Management] Model Memory (MB) = 454.2076225280762
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 4523.791400909424
Moving model(s) has taken 0.21 seconds
loading stable diffusion model: RuntimeError
Traceback (most recent call last):
File "D:\AI\StableDiffusion\New folder (2)\webui\launch.py", line 51, in
main()
File "D:\AI\StableDiffusion\New folder (2)\webui\launch.py", line 47, in main
start()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\launch_utils.py", line 549, in start
main_thread.loop()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\main_thread.py", line 37, in loop
task.work()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 509, in get_sd_model
load_model()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 614, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 539, in get_empty_cond
return sd_model.cond_stage_model([""])
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack_clip.py", line 276, in process_tokens
z = self.encode_with_transformers(tokens)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\forge_clip.py", line 20, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 227, in forward
inputs_embeds = self.token_embedding(input_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack.py", line 177, in forward
inputs_embeds = self.wrapped(input_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\sparse.py", line 162, in forward
return F.embedding(
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\functional.py", line 2233, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: CUDA error: operation not supported
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

Stable diffusion model failed to load
Loading weights [6ce0161689] from D:\AI\StableDiffusion\New folder (2)\webui\models\Stable-diffusion\v1-5-pruned-emaonly.safetensors
model_type EPS
UNet ADM Dimension 0
Using pytorch attention in VAE
Working with z of shape (1, 4, 32, 32) = 4096 dimensions.
Using pytorch attention in VAE
extra {'cond_stage_model.clip_l.logit_scale', 'cond_stage_model.clip_l.text_projection'}
left over keys: dict_keys(['alphas_cumprod', 'alphas_cumprod_prev', 'betas', 'log_one_minus_alphas_cumprod', 'model_ema.decay', 'model_ema.num_updates', 'posterior_log_variance_clipped', 'posterior_mean_coef1', 'posterior_mean_coef2', 'posterior_variance', 'sqrt_alphas_cumprod', 'sqrt_one_minus_alphas_cumprod', 'sqrt_recip_alphas_cumprod', 'sqrt_recipm1_alphas_cumprod'])
To load target model SD1ClipModel
Begin to load 1 model
[Memory Management] Current Free GPU Memory (MB) = 5686.29052734375
[Memory Management] Model Memory (MB) = 454.2076225280762
[Memory Management] Minimal Inference Memory (MB) = 1024.0
[Memory Management] Estimated Remaining GPU Memory (MB) = 4208.082904815674
Moving model(s) has taken 0.16 seconds
Traceback (most recent call last):
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\main_thread.py", line 37, in loop
task.work()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\main_thread.py", line 26, in work
self.result = self.func(*self.args, **self.kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\txt2img.py", line 111, in txt2img_function
processed = processing.process_images(p)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\processing.py", line 741, in process_images
sd_models.reload_model_weights()
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 628, in reload_model_weights
return load_model(info)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 614, in load_model
sd_model.cond_stage_model_empty_prompt = get_empty_cond(sd_model)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_models.py", line 539, in get_empty_cond
return sd_model.cond_stage_model([""])
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack_clip.py", line 234, in forward
z = self.process_tokens(tokens, multipliers)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack_clip.py", line 276, in process_tokens
z = self.encode_with_transformers(tokens)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules_forge\forge_clip.py", line 20, in encode_with_transformers
outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 822, in forward
return self.text_model(
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 730, in forward
hidden_states = self.embeddings(input_ids=input_ids, position_ids=position_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\transformers\models\clip\modeling_clip.py", line 227, in forward
inputs_embeds = self.token_embedding(input_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\sd_hijack.py", line 177, in forward
inputs_embeds = self.wrapped(input_ids)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1518, in _wrapped_call_impl
return self._call_impl(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\module.py", line 1527, in _call_impl
return forward_call(*args, **kwargs)
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\modules\sparse.py", line 162, in forward
return F.embedding(
File "D:\AI\StableDiffusion\New folder (2)\system\python\lib\site-packages\torch\nn\functional.py", line 2233, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
RuntimeError: CUDA error: invalid argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

CUDA error: invalid argument
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

*** Error completing request
*** Arguments: ('task(yha55n0i1e8svza)', , 'this is a prompt haha', '', [], 20, 'DPM++ 2M Karras', 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', '', '', [], 0, False, '', 0.8, -1, False, -1, 0, 0, 0, ControlNetUnit(input_mode=, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), ControlNetUnit(input_mode=, use_preview_as_input=False, batch_image_dir='', batch_mask_dir='', batch_input_gallery=[], batch_mask_gallery=[], generated_image=None, mask_image=None, hr_option='Both', enabled=False, module='None', model='None', weight=1, image=None, resize_mode='Crop and Resize', processor_res=-1, threshold_a=-1, threshold_b=-1, guidance_start=0, guidance_end=1, pixel_perfect=False, control_mode='Balanced', save_detected_map=True), False, 7, 1, 'Constant', 0, 'Constant', 0, 1, 'enable', 'MEAN', 'AD', 1, False, 1.01, 1.02, 0.99, 0.95, False, 0.5, 2, False, 256, 2, 0, False, False, 3, 2, 0, 0.35, True, 'bicubic', 'bicubic', False, 0, 'anisotropic', 0, 'reinhard', 100, 0, 'subtract', 0, 0, 'gaussian', 'add', 0, 100, 127, 0, 'hard_clamp', 5, 0, 'None', 'None', False, 'MultiDiffusion', 768, 768, 64, 4, False, False, False, False, False, 'positive', 'comma', 0, False, False, 'start', '', 1, '', [], 0, '', [], 0, '', [], True, False, False, False, False, False, False, 0, False) {}
Traceback (most recent call last):
File "D:\AI\StableDiffusion\New folder (2)\webui\modules\call_queue.py", line 57, in f
res = list(func(*args, **kwargs))
TypeError: 'NoneType' object is not iterable

---
```

### Additional information

I updated my AMD GPU driver to 24.2.1 after observing that 24.1.1 is not working.
https://github.com/lllyasviel/stable-diffusion-webui-forge/issues/390 another similar issue not solved before

Reproduce the model-loading failure with the AMD Radeon RX 5600M [ZLUDA] setup and the v1-5 model described in the logs. Start at modules/sd_models.py, then follow the traceback through modules/sd_hijack.py, modules/sd_hijack_clip.py, and modules_forge/forge_clip.py. Done means the model loads successfully and image generation completes without the CUDA operation-not-supported error.

Written by the indexing model from the issue text.