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:
- 8a17c2434421b285d87178d30bfd11c0e5223bb7c681826a679ef70667df410e
- Size of remote file:
- 326 kB
- SHA256:
- 4a107a73c6fc69050bc8c5a69217e0d5541a5c66595c7da1952fa9d8209a8f1f
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