Ashley Wright
commited on
Commit
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f18e889
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Initial
Browse files
.gitmodules
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[submodule "sdxl-newdream-20"]
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path = models/models--stablediffusionapi--newdream-sdxl-20/snapshots/4bdd502bca7abd1ea57ee12fba0b0f23052958cc
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url = https://huggingface.co/stablediffusionapi/newdream-sdxl-20
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branch = main
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models/models--stablediffusionapi--newdream-sdxl-20/refs/main
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4bdd502bca7abd1ea57ee12fba0b0f23052958cc
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models/models--stablediffusionapi--newdream-sdxl-20/snapshots/4bdd502bca7abd1ea57ee12fba0b0f23052958cc
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Subproject commit 4bdd502bca7abd1ea57ee12fba0b0f23052958cc
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pyproject.toml
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[build-system]
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requires = ["setuptools >= 61.0"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "edge-maxxing-4090-newdream"
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description = "An edge-maxxing model submission for the 4090 newdream contest"
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requires-python = ">=3.10,<3.11"
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version = "1.0.0"
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dependencies = [
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# "diffusers==0.29.0",
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# "transformers==4.41.2",
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# "accelerate==0.31.0",
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# "omegaconf==2.3.0",
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"edge-maxxing-pipelines @ git+ssh://git@github.com/womboai/edge-maxxing@docker-submissions#subdirectory=pipelines",
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]
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src/main.py
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from io import BytesIO
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from socket import socket, AF_UNIX, SOCK_STREAM
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from sys import byteorder
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from pipelines.models import TextToImageRequest
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from pipeline import load_pipeline, infer
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SOCKET = "/sandbox/inferences.sock"
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def main():
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pipeline = load_pipeline()
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with socket(AF_UNIX, SOCK_STREAM) as inference_socket:
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inference_socket.bind(SOCKET)
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inference_socket.listen(1)
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connection, _ = inference_socket.accept()
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with connection:
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while True:
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size = int.from_bytes(connection.recv(2), byteorder)
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request = TextToImageRequest.model_validate_json(connection.recv(size).decode("utf-8"))
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image = infer(request, pipeline)
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data = BytesIO()
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image.save(data, format=image.format)
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packet = data.getvalue()
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connection.send(len(packet).to_bytes(4, byteorder))
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connection.send(packet)
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if __name__ == '__main__':
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main()
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src/pipeline.py
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from PIL.Image import Image
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from diffusers import StableDiffusionXLPipeline
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from pipelines.models import TextToImageRequest
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from torch import Generator
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def load_pipeline() -> StableDiffusionXLPipeline:
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pipeline = StableDiffusionXLPipeline.from_pretrained(
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"stablediffusionapi/newdream-sdxl-20",
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revision="4bdd502bca7abd1ea57ee12fba0b0f23052958cc",
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cache_dir="./models",
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local_files_only=True,
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).to("cuda")
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pipeline(prompt="")
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return pipeline
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def infer(request: TextToImageRequest, pipeline: StableDiffusionXLPipeline) -> Image:
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generator = Generator(pipeline.device).manual_seed(request.seed) if request.seed else None
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return pipeline(
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prompt=request.prompt,
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negative_prompt=request.negative_prompt,
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width=request.width,
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height=request.height,
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generator=generator,
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).images
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