Instructions to use Alvaroalvares/tinto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alvaroalvares/tinto with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alvaroalvares/tinto") prompt = "tinto looking at a camara that is behind him" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
tinto

- Prompt
- tinto looking at a camara that is behind him
Trigger words
You should use tinto to trigger the image generation.
You should use realistic to trigger the image generation.
You should use scenary to trigger the image generation.
You should use happy to trigger the image generation.
You should use sad to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
- Downloads last month
- 10
Model tree for Alvaroalvares/tinto
Base model
stabilityai/stable-diffusion-xl-base-1.0