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:
- f54338fea7d9caaaea5383bed3454e87de848c0c48ecf8d5c7d48c2292b17f4c
- Size of remote file:
- 37.9 MB
- SHA256:
- 6b0cb5fbc1941a3d598ac0e98d4a6f0f5bd8bbd96bff1eee1a1689c99c787ac0
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