Instructions to use dfrer/nanasa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dfrer/nanasa 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("dfrer/nanasa") prompt = "Man sleeping next to clock" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee

- Xet hash:
- 2c50fa42a89937367bc16daa2a43038e7d0c780e81d0b03c12993edb86845a68
- Size of remote file:
- 14.3 kB
- SHA256:
- 911c7c61fddd62041bef75d3b23ee3e020503991fdfc65aed03f5e456b1fafef
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