Instructions to use Muapi/cloudify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/cloudify with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/cloudify") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8dd83b317bd48b39b20cb87410cd193b006f47531ff9395f092bd6133b4a44e7
- Size of remote file:
- 228 MB
- SHA256:
- 5a35ba826c7232b7f0671f8336d78a32ef3712a0b8cbd0a633a1f172115e2545
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