Instructions to use roshikhan301/NEWONE1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use roshikhan301/NEWONE1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("roshikhan301/NEWONE1", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 473 Bytes
8a37e0a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | #!/usr/bin/env python
# Copyright (c) 2022 Kyle Schouviller (https://github.com/kyle0654)
import logging
import os
from invokeai.app.run_app import run_app
logging.getLogger("xformers").addFilter(lambda record: "A matching Triton is not available" not in record.getMessage())
def main():
# Change working directory to the repo root
os.chdir(os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
run_app()
if __name__ == "__main__":
main()
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