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:
- 88e6da067743f3b40f13c19c647592b37cdbebbd1e426e94ee94c5844f7aafc7
- Size of remote file:
- 6.85 MB
- SHA256:
- 260e3b49f030e924aeaee357352d632ab32b9dbe46217dd8048676abf7ed3c2e
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