Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
diffusers-training
lora
Instructions to use pedrohsmoura/lora-brasilia-rank8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pedrohsmoura/lora-brasilia-rank8 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("pedrohsmoura/lora-brasilia-rank8") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 00e8ba01ac1d9669626bb83c41cf3ac6ae08b78de9adf290429f74dbfc768aa2
- Size of remote file:
- 445 kB
- SHA256:
- 71042afea0ee725c622df4ef81e38b79dca79c6877208353e2367b51b59675b0
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