Instructions to use Muapi/plushify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/plushify 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/plushify") 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:
- 3f5aa4ab5d2ddc6c6c21a2ad8b21dd64ddffbf765d2124ec7c515a16163930ea
- Size of remote file:
- 201 kB
- SHA256:
- 117ef54c23361eca8f758cfc53cc5a8233b9dca089ad4c969199446a22cf97ea
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