Instructions to use oproprioaquino/Stable_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use oproprioaquino/Stable_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("oproprioaquino/Stable_LoRA") prompt = "Pimentão color model" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
LoRA Aqq

- Prompt
- Pimentão color model
- Negative Prompt
- oiticica
Model description
Um modelo para teste de ferramenta
Trigger words
You should use Modelo Aqq to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for oproprioaquino/Stable_LoRA
Base model
runwayml/stable-diffusion-v1-5