Instructions to use DeepFunxtion/rack-jobber with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DeepFunxtion/rack-jobber with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("music-gen/distro", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("DeepFunxtion/rack-jobber") prompt = "Good Vibes Only" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add 2 files
Browse files- images/ReadyPlayerMe-Avatar.png +3 -0
- rkjobb.yml +11 -0
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Whale Tracker
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.pre-commit-config.yaml
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name: "Python (black)"
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args: ["--line-length", "119", "--target-version", "py35"]
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types: ["python"]
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- repo: https://gitlab.com/pycqa/flake8
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- repo: https://github.com/pycqa/flake8
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rev: 3.8.3
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hooks:
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- id: flake8
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