Instructions to use EarthnDusk/Loras_2023 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EarthnDusk/Loras_2023 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EarthnDusk/Loras_2023") 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:
- 45cdca83abe1fb627ae598cc22a1c3fce557d6887a716d5372f725218a42c21f
- Size of remote file:
- 37.9 MB
- SHA256:
- bee247f9692c208e308ec1bcdcabf6bbcbfdfa41f750d9234f86339d441ef183
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