Instructions to use lramosc1512/lora-estilo-brasilia-config1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lramosc1512/lora-estilo-brasilia-config1 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lramosc1512/lora-estilo-brasilia-config1") prompt = "estilo_brasilia," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- fb8181d266b05f120b2937514787099c30fb539263ca1340fd3de2b63bb65b15
- Size of remote file:
- 343 kB
- SHA256:
- e307c1abf7cba895e9424f44a12feb274595787f866afe3ca3b51130385431a4
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