Instructions to use Kev09/Lorakev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kev09/Lorakev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Kev09/Lorakev") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
Upload loraPeaceSign_v03.safetensors
Browse files
loraPeaceSign_v03.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce3a560945c069b313c92d62a73dffab173a71a7967e6688764d53848cbcf7a7
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size 39824290
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