Instructions to use nakkati/baseline_final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nakkati/baseline_final 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-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("nakkati/baseline_final") prompt = "photo of Luffy, the pirate with a straw hat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 5029f5073dd126c207522b4293dffd25b33c4751af7c8e817b91c323a2c7961a
- Size of remote file:
- 6.85 MB
- SHA256:
- 991b299f22b739486494d7c5f46bb872b63b8f8ddca7b1aac1fa4aea2b220f41
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