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:
- 11e8ca1d3c3b68d5c1fd978e4d1751f0f19b42cfcf686d4c80f4849abb440f8f
- Size of remote file:
- 432 kB
- SHA256:
- 3e8d3db55dd6da009a73e3ca68ccf0af6698ac0ea4816fdd1fbd141f010f5e50
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