metadata

base_model: black-forest-labs/FLUX.1-dev
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
tags:
  - autotrain
  - spacerunner
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
widget:
  - text: A person in a bustling cafe in the style of tarsila do amaral
    output:
      url: samples/1725254450130__000001000_0.jpg
  - text: A mecha robot in a favela in the style of tarsila do amaral
    output:
      url: samples/1725254552381__000001000_1.jpg
instance_prompt: in the style of tarsila do amaral

tarsila-captioned

Model trained with AI Toolkit by Ostris

Prompt
A person in a bustling cafe in the style of tarsila do amaral

Prompt
A mecha robot in a favela in the style of tarsila do amaral

Trigger words

You should use in the style of tarsila do amaral 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-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('multimodalart/tarsila-captioned', weight_name='tarsila-captioned')
image = pipeline('A person in a bustling cafe in the style of tarsila do amaral').images[0]
image.save("my_image.png")

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers