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:
- 78fb2edc3462e775b1305239c30136f2482a2b8eb8a6597e879d50ef68a60444
- Size of remote file:
- 3.23 MB
- SHA256:
- 741ad08e9997d960b52cc45f4e609a72ba064d731ac678d95a8f7dc145f31188
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