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---
base_model: black-forest-labs/FLUX.1-schnell
license: apache-2.0
tags:
- autotrain
- spacerunner
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
widget:
- text: A realistic IPhone 15 selfie of FluxTLucas
output:
url: samples/1726116583723__000001000_0.jpg
- text: A cinematic shot of FluxTLucas driving in high speed
output:
url: samples/1726116601191__000001000_1.jpg
- text: A FluxTLucas riding a flying white horse in a sundown sky
output:
url: samples/1726116618657__000001000_2.jpg
instance_prompt: FluxTLucas
---
# flucasx-treinado
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `FluxTLucas` to trigger the image generation.
## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
[Download](/RodrigoFlorencio/flucasx-treinado/tree/main) them in the Files & versions tab.
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
```py
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-schnell', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('RodrigoFlorencio/flucasx-treinado', weight_name='flucasx-treinado')
image = pipeline('A realistic IPhone 15 selfie of FluxTLucas').images[0]
image.save("my_image.png")
```
For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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