metadata

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

Prompt
marques standing in studio and white, gray background.

Prompt
marques wearing hoodie and text saying in his hoodie "Sub to Jarivslabs"

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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