Instructions to use Muapi/vore-internals with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/vore-internals 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/vore-internals") 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:
- 7d2154fda43aef64c7e380b260a989c71e5bc9ef031223e1f7e0546e1a201e09
- Size of remote file:
- 4.32 MB
- SHA256:
- 4d4d7352dc1fbde3b5d4403119006d5c4bc6244d6348b484931413f354628578
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