Instructions to use Muapi/window-voyeur with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/window-voyeur 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/window-voyeur") 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:
- 9dcb21d9a03176f4d89b2fe080f0c08bef4f4787a812b6c77424e4397ec13b5e
- Size of remote file:
- 207 kB
- SHA256:
- abb2a63d81f4b4149576e53d8874cd15dc2b1a29feaa7e7b120ee6994da7f4d4
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