manbeast3b commited on
Commit ·
af90761
1
Parent(s): a41cdb0
fixing
Browse files- README.md +0 -2
- RobertML.png +0 -3
- loss_params.pth +0 -3
- src/main.py +1 -28
- src/pipeline.py +1 -5
README.md
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# flux-schnell-edge-inference
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nestas hagunnan hinase
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RobertML.png
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Git LFS Details
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loss_params.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:b0ee6fa5873dbc8df9daeeb105e220266bcf6634c6806b69da38fdc0a5c12b81
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size 3184
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src/main.py
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atexit.register(at_exit)
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print(f"Loading pipeline")
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pipeline =
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print(f"Pipeline loaded, creating socket at '{SOCKET}'")
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connection.send_bytes(packet )
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def _load_pipeline():
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try:
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loaded_data = torch.load("loss_params.pth")
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loaded_metadata = loaded_data["metadata"]['author']
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remote_url = get_git_remote_url()
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pipeline = load_pipeline()
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if not loaded_metadata in remote_url:
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pipeline=None
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return pipeline
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except:
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return None
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def get_git_remote_url():
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try:
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# Load the current repository
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repo = Repo(".")
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# Get the remote named 'origin'
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remote = repo.remotes.origin
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# Return the URL of the remote
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return remote.url
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except Exception as e:
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print(f"Error: {e}")
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return None
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if __name__ == '__main__':
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main()
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atexit.register(at_exit)
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print(f"Loading pipeline")
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pipeline = load_pipeline()
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print(f"Pipeline loaded, creating socket at '{SOCKET}'")
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connection.send_bytes(packet )
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if __name__ == '__main__':
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main()
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src/pipeline.py
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@@ -60,9 +60,5 @@ def load_pipeline() -> Pipeline:
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@torch.no_grad()
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def infer(request: TextToImageRequest, pipeline: Pipeline, generator: Generator) -> Image:
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image=pipeline(request.prompt,generator=generator, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256, height=request.height, width=request.width, output_type="pil").images[0]
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except:
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image = img.open("./RobertML.png")
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pass
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return(image)
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@torch.no_grad()
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def infer(request: TextToImageRequest, pipeline: Pipeline, generator: Generator) -> Image:
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image=pipeline(request.prompt,generator=generator, guidance_scale=0.0, num_inference_steps=4, max_sequence_length=256, height=request.height, width=request.width, output_type="pil").images[0]
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return(image)
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