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lshqqytiger / stable-diffusion-webui-amdgpu

Stable Diffusion web UI
GNU Affero General Public License v3.0
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[Bug]: "lerp_kernel_scalar" not implemented for 'Half' #222

Open Aypixl opened 1 year ago

Aypixl commented 1 year ago

Is there an existing issue for this?

What happened?

Upon attempting to render using inpaint, i get a runtime error "lerp_kernel_scalar" not implemented for 'Half image

Steps to reproduce the problem

First inpaint attempt after fresh install with URPM safetensors

What should have happened?

the image should be rendered

Version or Commit where the problem happens

n/a

What Python version are you running on ?

Python 3.10.x

What platforms do you use to access the UI ?

Windows

What device are you running WebUI on?

AMD GPUs (RX 6000 above)

Cross attention optimization

Automatic

What browsers do you use to access the UI ?

Google Chrome

Command Line Arguments

no

List of extensions

no

Console logs

env "C:\Users\Tom\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: 1.5.1
Commit hash: 723974a8b74ffd5acc1a1fdaf36e9c2426651537
Launching Web UI with arguments:
no module 'xformers'. Processing without...
no module 'xformers'. Processing without...
No module 'xformers'. Proceeding without it.
Loading weights [3cb09d984c] from C:\Users\Tom\stable-diffusion-webui-directml\models\Stable-diffusion\uberRealisticPornMerge_urpmv13Inpainting.safetensors
Running on local URL:  http://127.0.0.1:7860

To create a public link, set `share=True` in `launch()`.
Startup time: 5.7s (launcher: 0.3s, import torch: 2.0s, import gradio: 0.6s, setup paths: 0.5s, other imports: 1.1s, load scripts: 0.7s, create ui: 0.3s, gradio launch: 0.1s).
Creating model from config: C:\Users\Tom\stable-diffusion-webui-directml\configs\v1-inpainting-inference.yaml
LatentInpaintDiffusion: Running in eps-prediction mode
DiffusionWrapper has 859.54 M params.
Applying attention optimization: InvokeAI... done.
Model loaded in 2.6s (load weights from disk: 0.5s, create model: 0.3s, apply weights to model: 0.5s, apply half(): 0.5s, move model to device: 0.8s).
*** Error completing request
*** Arguments: ('task(lb3n7hr2lhe8mpf)', 2, 'boobs', '', [], <PIL.Image.Image image mode=RGBA size=620x1014 at 0x23468127FA0>, None, {'image': <PIL.Image.Image image mode=RGBA size=620x1014 at 0x234681269E0>, 'mask': <PIL.PngImagePlugin.PngImageFile image mode=RGBA size=620x1014 at 0x234681276A0>}, None, None, None, None, 40, 0, 4, 0, 0, False, False, 1, 1, 7, 1.5, 0.75, -1.0, -1.0, 0, 0, 0, False, 0, 512, 512, 1, 0, 1, 32, 0, '', '', '', [], False, [], '', <gradio.routes.Request object at 0x0000023468126800>, 0, '<ul>\n<li><code>CFG Scale</code> should be 2 or lower.</li>\n</ul>\n', True, True, '', '', True, 50, True, 1, 0, False, 4, 0.5, 'Linear', 'None', '<p style="margin-bottom:0.75em">Recommended settings: Sampling Steps: 80-100, Sampler: Euler a, Denoising strength: 0.8</p>', 128, 8, ['left', 'right', 'up', 'down'], 1, 0.05, 128, 4, 0, ['left', 'right', 'up', 'down'], False, False, 'positive', 'comma', 0, False, False, '', '<p style="margin-bottom:0.75em">Will upscale the image by the selected scale factor; use width and height sliders to set tile size</p>', 64, 0, 2, 1, '', [], 0, '', [], 0, '', [], True, False, False, False, 0) {}
    Traceback (most recent call last):
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\call_queue.py", line 58, in f
        res = list(func(*args, **kwargs))
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\call_queue.py", line 37, in f
        res = func(*args, **kwargs)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\img2img.py", line 232, in img2img
        processed = process_images(p)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\processing.py", line 680, in process_images
        res = process_images_inner(p)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\processing.py", line 737, in process_images_inner
        p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\processing.py", line 1375, in init
        self.image_conditioning = self.img2img_image_conditioning(image, self.init_latent, image_mask)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\processing.py", line 279, in img2img_image_conditioning
        return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask)
      File "C:\Users\Tom\stable-diffusion-webui-directml\modules\processing.py", line 250, in inpainting_image_conditioning
        conditioning_image = torch.lerp(
    RuntimeError: "lerp_kernel_scalar" not implemented for 'Half'

---

Additional information

No response

boiker commented 1 year ago

I confirm the same error on my AMD 6700xt. I get this error with img2img.

xhy2008 commented 1 year ago

I got this error too,when I am using openoutpaint extension. I am an AMD user with only 2GB of VRAM. But I saw something in console:

D:\novel AI\stable-diffusion-webui-directml\modules\processing.py:331: UserWarning: The operator 'aten::lerp.Scalar_out' is not currently supported on the DML backend and will fall back to run on the CPU. This may have performance implications. (Triggered internally at D:\a_work\1\s\pytorch-directml-plugin\torch_directml\csrc\dml\dml_cpu_fallback.cpp:17.) conditioning_image = torch.lerp( *** API error: POST: http://127.0.0.1:7860/sdapi/v1/img2img {'error': 'RuntimeError', 'detail': '', 'body': '', 'errors': '"lerp_kernel_scalar" not implemented for \'Half\''}

I think it's because that my videocard can use half precision,but my cpu can't. But before I update the code,I didn't get this error. sysinfo-2023-10-05-04-18.txt

xhy2008 commented 3 months ago

Today I updated the latest code,the bug is still there.

*** API error: POST: http://127.0.0.1:7860/sdapi/v1/img2img {'error': 'RuntimeError', 'detail': '', 'body': '', 'errors': '"lerp_kernel_scalar" not implemented for \'Half\''} Traceback (most recent call last): File "F:\venv\lib\site-packages\anyio\streams\memory.py", line 98, in receive return self.receive_nowait() File "F:\venv\lib\site-packages\anyio\streams\memory.py", line 93, in receive_nowait raise WouldBlock anyio.WouldBlock

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 78, in call_next
    message = await recv_stream.receive()
  File "F:\venv\lib\site-packages\anyio\streams\memory.py", line 118, in receive
    raise EndOfStream
anyio.EndOfStream

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "F:\stable-diffusion-webui-directml\modules\api\api.py", line 186, in exception_handling
    return await call_next(request)
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 84, in call_next
    raise app_exc
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 70, in coro
    await self.app(scope, receive_or_disconnect, send_no_error)
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 108, in __call__
    response = await self.dispatch_func(request, call_next)
  File "F:\stable-diffusion-webui-directml\modules\api\api.py", line 150, in log_and_time
    res: Response = await call_next(req)
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 84, in call_next
    raise app_exc
  File "F:\venv\lib\site-packages\starlette\middleware\base.py", line 70, in coro
    await self.app(scope, receive_or_disconnect, send_no_error)
  File "F:\venv\lib\site-packages\starlette\middleware\cors.py", line 92, in __call__
    await self.simple_response(scope, receive, send, request_headers=headers)
  File "F:\venv\lib\site-packages\starlette\middleware\cors.py", line 147, in simple_response
    await self.app(scope, receive, send)
  File "F:\venv\lib\site-packages\starlette\middleware\gzip.py", line 24, in __call__
    await responder(scope, receive, send)
  File "F:\venv\lib\site-packages\starlette\middleware\gzip.py", line 44, in __call__
    await self.app(scope, receive, self.send_with_gzip)
  File "F:\venv\lib\site-packages\starlette\middleware\exceptions.py", line 79, in __call__
    raise exc
  File "F:\venv\lib\site-packages\starlette\middleware\exceptions.py", line 68, in __call__
    await self.app(scope, receive, sender)
  File "F:\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 21, in __call__
    raise e
  File "F:\venv\lib\site-packages\fastapi\middleware\asyncexitstack.py", line 18, in __call__
    await self.app(scope, receive, send)
  File "F:\venv\lib\site-packages\starlette\routing.py", line 718, in __call__
    await route.handle(scope, receive, send)
  File "F:\venv\lib\site-packages\starlette\routing.py", line 276, in handle
    await self.app(scope, receive, send)
  File "F:\venv\lib\site-packages\starlette\routing.py", line 66, in app
    response = await func(request)
  File "F:\venv\lib\site-packages\fastapi\routing.py", line 237, in app
    raw_response = await run_endpoint_function(
  File "F:\venv\lib\site-packages\fastapi\routing.py", line 165, in run_endpoint_function
    return await run_in_threadpool(dependant.call, **values)
  File "F:\venv\lib\site-packages\starlette\concurrency.py", line 41, in run_in_threadpool
    return await anyio.to_thread.run_sync(func, *args)
  File "F:\venv\lib\site-packages\anyio\to_thread.py", line 33, in run_sync
    return await get_asynclib().run_sync_in_worker_thread(
  File "F:\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 877, in run_sync_in_worker_thread
    return await future
  File "F:\venv\lib\site-packages\anyio\_backends\_asyncio.py", line 807, in run
    result = context.run(func, *args)
  File "F:\stable-diffusion-webui-directml\modules\api\api.py", line 545, in img2imgapi
    processed = process_images(p)
  File "F:\stable-diffusion-webui-directml\modules\processing.py", line 847, in process_images
    res = process_images_inner(p)
  File "F:\stable-diffusion-webui-directml\extensions\sd-webui-controlnet\scripts\batch_hijack.py", line 59, in processing_process_images_hijack
    return getattr(processing, '__controlnet_original_process_images_inner')(p, *args, **kwargs)
  File "F:\stable-diffusion-webui-directml\modules\processing.py", line 1009, in process_images_inner
    p.init(p.all_prompts, p.all_seeds, p.all_subseeds)
  File "F:\stable-diffusion-webui-directml\modules\processing.py", line 1826, in init
    self.image_conditioning = self.img2img_image_conditioning(image * 2 - 1, self.init_latent, image_mask, self.mask_round)
  File "F:\stable-diffusion-webui-directml\modules\processing.py", line 389, in img2img_image_conditioning
    return self.inpainting_image_conditioning(source_image, latent_image, image_mask=image_mask, round_image_mask=round_image_mask)
  File "F:\stable-diffusion-webui-directml\modules\processing.py", line 360, in inpainting_image_conditioning
    conditioning_image = torch.lerp(
RuntimeError: "lerp_kernel_scalar" not implemented for 'Half'