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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

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### Describe the bug Following the [instructions](https://rentry.org/ayymd-stable-diffustion-v1_4-guide) to install onnx on Windows, I'm running into a python runtime error when running `save_onnx.py` The script successfully fetches a bunch of models,...

bug

### Describe the bug When executing the file, save_onnx.py, I encountered this error ``` Traceback (most recent call last): File "C:\Users\jpyea\Desktop\For fun\Stable Diffuse\diffusers\examples\inference\save_onnx.py", line 16, in pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", scheduler=lms,...

bug

### Describe the bug ``` Traceback (most recent call last): File "c:\Users\(Myusername)\OneDrive\Desktop\STable D\diffusers\examples\inference\dml_onnx.py", line 210, in image = pipe(prompt, height=512, width=512, num_inference_steps=50, guidance_scale=7.5, eta=0.0, execution_provider="DmlExecutionProvider")["sample"][0] File "C:\Users\(Myusername)\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\autograd\grad_mode.py", line 27, in...

bug

### Describe the bug Hi,I'm following this video https://www.youtube.com/watch?v=Th-0oZjpDtk to deploy this diffuser on my AMD-GPU laptop,(python 3.10.8,Radeon 5600M),I started "save_onnx.py" and after it fetched 17 files,errors occurred(as reproduction) Is...

bug

### Describe the bug Hi, I have an amd radeon 6800M, 12g vram (just bought it for stable diffusion), but after followed this great tutorial, I can make images but...

bug

### Describe the bug when I run the dml_onnx.py file in (amd_venv) C:\amd-stable-diffusion\difusers-dml\examples\inference>dml_onnx.py I get an error like this: (amd_venv) C:\amd-stable-diffusion\difusers-dml\examples\inference>dml_onnx.py Fetching 19 files: 100%|███████████████████████████████████████████ | 19/19 [00:00

bug

I am using Stable Diffusion in this branch to generate images, but I get an error when I try to generate a 768x512 size image. The code to generate the...

Is it possible to change the model to waifu-diffusion? I did not find guides to work with amd cards.

> RuntimeError: [enforce fail at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\c10\core\impl\alloc_cpu.cpp:81] data. DefaultCPUAllocator: not enough memory: you tried to allocate 1073741824 bytes. I have 16gb of RAM (12.9 usable) which i increased to 17.9gb with...

how can I run saveonnx with a model checkpoint I already downloaded?