Instructions to use Muapi/deep-penetration-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/deep-penetration-lora 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/deep-penetration-lora") 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:
- 7ecc4febcd635e8dee6725b775b183a0e917b97bd8847a2efeff280b8793b72a
- Size of remote file:
- 1.52 MB
- SHA256:
- aa6992e5629dc7e62c82a12f84a1a22fbaa39225f5db143e7099b11c675b7eac
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