Instructions to use Muapi/randommaxx-dark-offset-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Muapi/randommaxx-dark-offset-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("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Muapi/randommaxx-dark-offset-lora") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 0eca9e0388eb4efa16788116579c9ae6e2be8a7fc944361489cf556efc3285fc
- Size of remote file:
- 1.52 MB
- SHA256:
- 06c3d3c1986e0369a5b19bfe7a89deccce89ce9fccc50aaed381a098b755ff92
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