metadata

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
language:
  - en
tags:
  - flux
  - diffusers
  - lora
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
instance_prompt: CBSTCRTN
widget:
  - text: >-
      CBSTCRTN cubist cartoon portrait of a mexican skeleton playing the guitar.
      Dark wooden background. neon lights
    example_title: Skeleton
    output:
      url: samples/skeleton.png
  - text: CBSTCRTN cubist cartoon portrait of a dinosaur on the jungle
    example_title: Dinosaur
    output:
      url: samples/dinosaur.png
  - text: >-
      CBSTCRTN cubist cartoon portrait of a woman rockstar dressed in glitter
      wearing pink star shaped eyeglasses
    example_title: Woman rockstar
    output:
      url: samples/woman_rockstar.png
thumbnail: samples/skeleton.png

Flux Cubist Cartoon

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use CBSTCRTN to trigger the image generation.

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.float16).to('cuda')
pipeline.load_lora_weights('lichorosario/flux-cubist-cartoon', weight_name='lora.safetensors')
image = pipeline('your prompt').images[0]

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