Instructions to use Muapi/penetration-depth-slider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/penetration-depth-slider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-xl-early-release-v0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/penetration-depth-slider") 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:
- 5087d9edfca7cc50b62a2b0386a4c5db044ad0a0eefbc50ef3525f8b6a4bd5f3
- Size of remote file:
- 3.96 MB
- SHA256:
- 13aee9adaf46bbd8d3b448d6d63d089925dbc3de150216940b0034c369839602
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