Instructions to use Muapi/doggystyle-while-facing-viewer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/doggystyle-while-facing-viewer 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/doggystyle-while-facing-viewer") 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:
- 95e796d3112b376ed396e7cd69ea0065e1bb4fbad4c13f058612d51160ee0947
- Size of remote file:
- 218 kB
- SHA256:
- deed925a286aa2314af1b7cb4a54a8dec387e913639af3977abca615a4c0e9c5
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