[Bug]: SD 2.1 not working: NansException: A tensor with NaNs was produced in Unet.

[fireYtail]

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?

SD 1.5 is working fine, but 2.1 always gives this error:

NansException: A tensor with NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.

I tried using the "Upcast cross attention layer to float32", it just produces random colors junk images.
I tried using the --no-half commandline argument, it gives a different error: "RuntimeError: Input type (float) and bias type (struct c10::Half) should be the same"
Using the --disable-nan-check just produces completely black images.

I had this issue both on my previous GPU (1080 ti) and my current GPU (5070 ti) on the latest 1111 version. The issue is somewhat fixed by using the commandline argument --opt-sdp-attention but it randomly starts producing junk images again after a while.

Steps to reproduce the problem

Launch 1111, load SD 2.1 model and try to generate any image at all.

What should have happened?

No error and the image generating correctly and no requiring workarounds that still don't quite work well.

What browsers do you use to access the UI ?

Mozilla Firefox

Sysinfo

{
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    "Version": "v1.10.1",
    "Commit": "82a973c04367123ae98bd9abdf80d9eda9b910e2",
    "Git status": "On branch master\nYour branch is up to date with 'origin/master'.\n\nnothing to commit, working tree clean",
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    "Exceptions": [
        {
            "exception": "A tensor with NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the \"Upcast cross attention layer to float32\" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.",
            "traceback": [
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\call_queue.py, line 74, f",
                    "res = list(func(*args, **kwargs))"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\call_queue.py, line 53, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\call_queue.py, line 37, f",
                    "res = func(*args, **kwargs)"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\txt2img.py, line 109, txt2img",
                    "processed = processing.process_images(p)"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\processing.py, line 847, process_images",
                    "res = process_images_inner(p)"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\processing.py, line 998, process_images_inner",
                    "devices.test_for_nans(samples_ddim, \"unet\")"
                ],
                [
                    "A:\\Sin Sincronización\\Chrome\\sd.webui\\webui\\modules\\devices.py, line 265, test_for_nans",
                    "raise NansException(message)"
                ]
            ]
        }
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            "load scripts/postprocessing_split_oversized.py": 0.0,
            "load scripts/soft_inpainting.py": 0.0010004043579101562,
            "load scripts/comments.py": 0.02399754524230957,
            "load scripts/refiner.py": 0.0010001659393310547,
            "load scripts/sampler.py": 0.0,
            "load scripts/seed.py": 0.0010013580322265625,
            "load scripts": 0.5495524406433105,
            "load upscalers": 0.004997968673706055,
            "refresh VAE": 0.0009999275207519531,
            "refresh textual inversion templates": 0.0,
            "scripts list_optimizers": 0.0019996166229248047,
            "scripts list_unets": 0.0,
            "reload hypernetworks": 0.0010006427764892578,
            "initialize extra networks": 0.015000581741333008,
            "scripts before_ui_callback": 0.002999544143676758,
            "create ui": 0.5135579109191895,
            "gradio launch": 0.6030018329620361,
            "add APIs": 0.00899815559387207,
            "app_started_callback/lora_script.py": 0.0010001659393310547,
            "app_started_callback": 0.0010001659393310547
        }
    },
    "Packages": [
        "accelerate==0.21.0",
        "aenum==3.1.15",
        "aiofiles==23.2.1",
        "aiohappyeyeballs==2.5.0",
        "aiohttp==3.11.13",
        "aiosignal==1.3.2",
        "altair==5.5.0",
        "antlr4-python3-runtime==4.9.3",
        "anyio==3.7.1",
        "async-timeout==5.0.1",
        "attrs==25.1.0",
        "blendmodes==2022",
        "certifi==2025.1.31",
        "charset-normalizer==3.4.1",
        "clean-fid==0.1.35",
        "click==8.1.8",
        "clip @ https://github.com/openai/CLIP/archive/d50d76daa670286dd6cacf3bcd80b5e4823fc8e1.zip#sha256=b5842c25da441d6c581b53a5c60e0c2127ebafe0f746f8e15561a006c6c3be6a",
        "colorama==0.4.6",
        "contourpy==1.3.1",
        "cycler==0.12.1",
        "deprecation==2.1.0",
        "diskcache==5.6.3",
        "einops==0.4.1",
        "exceptiongroup==1.2.2",
        "facexlib==0.3.0",
        "fastapi==0.94.0",
        "ffmpy==0.5.0",
        "filelock==3.17.0",
        "filterpy==1.4.5",
        "fonttools==4.56.0",
        "frozenlist==1.5.0",
        "fsspec==2025.2.0",
        "ftfy==6.3.1",
        "gitdb==4.0.12",
        "GitPython==3.1.32",
        "gradio==3.41.2",
        "gradio_client==0.5.0",
        "h11==0.12.0",
        "httpcore==0.15.0",
        "httpx==0.24.1",
        "huggingface-hub==0.29.2",
        "idna==3.10",
        "imageio==2.37.0",
        "importlib_resources==6.5.2",
        "inflection==0.5.1",
        "Jinja2==3.1.6",
        "jsonmerge==1.8.0",
        "jsonschema==4.23.0",
        "jsonschema-specifications==2024.10.1",
        "kiwisolver==1.4.8",
        "kornia==0.6.7",
        "lark==1.1.2",
        "lazy_loader==0.4",
        "lightning-utilities==0.14.0",
        "llvmlite==0.44.0",
        "MarkupSafe==2.1.5",
        "matplotlib==3.10.1",
        "mpmath==1.3.0",
        "multidict==6.1.0",
        "narwhals==1.29.1",
        "networkx==3.4.2",
        "numba==0.61.0",
        "numpy==1.26.2",
        "omegaconf==2.2.3",
        "open-clip-torch==2.20.0",
        "opencv-python==4.11.0.86",
        "orjson==3.10.15",
        "packaging==24.2",
        "pandas==2.2.3",
        "piexif==1.1.3",
        "Pillow==9.5.0",
        "pillow-avif-plugin==1.4.3",
        "pip==25.0.1",
        "propcache==0.3.0",
        "protobuf==3.20.0",
        "psutil==5.9.5",
        "pydantic==1.10.21",
        "pydub==0.25.1",
        "pyparsing==3.2.1",
        "python-dateutil==2.9.0.post0",
        "python-multipart==0.0.20",
        "pytorch-lightning==1.9.4",
        "pytz==2025.1",
        "PyWavelets==1.8.0",
        "PyYAML==6.0.2",
        "referencing==0.36.2",
        "regex==2024.11.6",
        "requests==2.32.3",
        "resize-right==0.0.2",
        "rpds-py==0.23.1",
        "safetensors==0.4.2",
        "scikit-image==0.21.0",
        "scipy==1.15.2",
        "semantic-version==2.10.0",
        "sentencepiece==0.2.0",
        "setuptools==69.5.1",
        "six==1.17.0",
        "smmap==5.0.2",
        "sniffio==1.3.1",
        "spandrel==0.3.4",
        "spandrel_extra_arches==0.1.1",
        "starlette==0.26.1",
        "sympy==1.13.3",
        "tifffile==2025.2.18",
        "timm==1.0.15",
        "tokenizers==0.13.3",
        "tomesd==0.1.3",
        "torch==2.7.0.dev20250306+cu128",
        "torchdiffeq==0.2.3",
        "torchmetrics==1.6.2",
        "torchsde==0.2.6",
        "torchvision==0.22.0.dev20250307+cu128",
        "tqdm==4.67.1",
        "trampoline==0.1.2",
        "transformers==4.30.2",
        "typing_extensions==4.12.2",
        "tzdata==2025.1",
        "urllib3==2.3.0",
        "uvicorn==0.34.0",
        "wcwidth==0.2.13",
        "websockets==11.0.3",
        "wheel==0.45.1",
        "yarl==1.18.3"
    ]
}

Console logs

*** Arguments: ('task(p553ty28wmhx6g8)', <gradio.routes.Request object at 0x0000021D9031B7C0>, '', '', [], 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, 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 "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 74, in f
        res = list(func(*args, **kwargs))
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 53, in f
        res = func(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\txt2img.py", line 109, in txt2img
        processed = processing.process_images(p)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\processing.py", line 847, in process_images
        res = process_images_inner(p)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\processing.py", line 998, in process_images_inner
        devices.test_for_nans(samples_ddim, "unet")
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\devices.py", line 265, in test_for_nans
        raise NansException(message)
    modules.devices.NansException: A tensor with NaNs was produced in Unet. This could be either because there's not enough precision to represent the picture, or because your video card does not support half type. Try setting the "Upcast cross attention layer to float32" option in Settings > Stable Diffusion or using the --no-half commandline argument to fix this. Use --disable-nan-check commandline argument to disable this check.


Stable diffusion model failed to load
*** Error completing request
*** Arguments: ('task(hua4dyxcv2tgm0o)', <gradio.routes.Request object at 0x00000204D07008B0>, '', '', [], 1, 1, 7, 512, 512, False, 0.7, 2, 'Latent', 0, 0, 0, 'Use same checkpoint', 'Use same sampler', 'Use same scheduler', '', '', [], 0, 20, 'DPM++ 2M', 'Automatic', False, '', 0.8, -1, False, -1, 0, 0, 0, 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 "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 74, in f
        res = list(func(*args, **kwargs))
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 53, in f
        res = func(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\txt2img.py", line 109, in txt2img
        processed = processing.process_images(p)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\processing.py", line 830, in process_images
        sd_models.reload_model_weights()
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\sd_models.py", line 969, in reload_model_weights
        checkpoint_config = sd_models_config.find_checkpoint_config(state_dict, checkpoint_info)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\sd_models_config.py", line 125, in find_checkpoint_config
        return guess_model_config_from_state_dict(state_dict, info.filename)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\sd_models_config.py", line 98, in guess_model_config_from_state_dict
        elif is_using_v_parameterization_for_sd2(sd):
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\sd_models_config.py", line 67, in is_using_v_parameterization_for_sd2
        out = (unet(x_test, torch.asarray([999], device=device), context=test_cond) - x_test).mean().cpu().item()
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
        return self._call_impl(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
        return forward_call(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\modules\sd_unet.py", line 91, in UNetModel_forward
        return original_forward(self, x, timesteps, context, *args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 797, in forward
        h = module(h, emb, context)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
        return self._call_impl(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
        return forward_call(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\repositories\stable-diffusion-stability-ai\ldm\modules\diffusionmodules\openaimodel.py", line 86, in forward
        x = layer(x)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1751, in _wrapped_call_impl
        return self._call_impl(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\module.py", line 1762, in _call_impl
        return forward_call(*args, **kwargs)
      File "A:\Sin Sincronización\Chrome\sd.webui\webui\extensions-builtin\Lora\networks.py", line 599, in network_Conv2d_forward
        return originals.Conv2d_forward(self, input)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\conv.py", line 554, in forward
        return self._conv_forward(input, self.weight, self.bias)
      File "A:\Sin Sincronización\Chrome\sd.webui\system\python\lib\site-packages\torch\nn\modules\conv.py", line 549, in _conv_forward
        return F.conv2d(
    RuntimeError: Input type (float) and bias type (struct c10::Half) should be the same

Additional information

As already mentioned, I already had this bug on my 1080 ti and now have it again on 5070 ti. I made a fresh install, but it's still no use.