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---
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: marques in a bustling cafe
output:
url: samples/1725078537352__000001000_0.jpg
- text: 'marques standing in studio and white, gray background. '
output:
url: samples/1725078546464__000001000_1.jpg
- text: marques wearing hoodie and text saying in his hoodie "Sub to Jarivslabs"
output:
url: samples/1725078555555__000001000_2.jpg
base_model: black-forest-labs/FLUX.1-schnell
instance_prompt: marques
license: apache-2.0
---
# marques
Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
<Gallery />
## Trigger words
You should use `marques` 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](/ThamimTommy/marques/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('ThamimTommy/marques', weight_name='marques')
image = pipeline('marques in a bustling cafe').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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