Instructions to use Muapi/phone-exposure with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/phone-exposure with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/pony-diffusion-v6-xl", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/phone-exposure") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f1ad79742ec29fc7070cfd21651fb550ef7b674672a814356f36ba9720231d28
- Size of remote file:
- 159 kB
- SHA256:
- 5f531e0829fe15ca7840ea0f88017d130b7d2774c5f65de1160317b3b35924b1
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