Instructions to use Muapi/neoartcore-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/neoartcore-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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/neoartcore-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:
- 10b9bc9cbf48ae41adb323e77d29c771164f570bbfa4ba0088a5168cfb3b2bbf
- Size of remote file:
- 4.23 MB
- SHA256:
- fd475242153c7f042d47f79ec5854f091316d1ccb69742105913339ee84324b3
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