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
  - replicate
base_model: black-forest-labs/FLUX.1-dev
pipeline_tag: text-to-image
widget:
  - text: Abraham Lincoln doodoov1 illustration
    output:
      url: >-
        https://replicate.delivery/yhqm/UVL2smN07DKoKJWaoHxb8KBrbAPT4jsad2Ns4Sepf2HtoDbTA/out-0.webp
  - text: astronaut doodoov1 illustration
    output:
      url: >-
        https://replicate.delivery/yhqm/6kcTfavFeckYb0ku42t76Cn0WJnb11v3BzUdfjdil9j4EH2mA/out-0.webp
  - text: an illustration of a dog in the style of doodoov1
    output:
      url: >-
        https://replicate.delivery/yhqm/cHAZucze7dUPWqy6LGCbyjUKfMYl2jywkORf7RPDZ1F9fNsNB/out-0.webp
  - text: a beautiful castle doodoov1 illustration
    output:
      url: >-
        https://replicate.delivery/yhqm/vuLfajLevCsKEUHOIugayXQJ8gYqiVfCbRwfDjNE5NPsUNsNB/out-0.webp
instance_prompt: doodoov1

Flux.1-dev Simple Doodle Lora: doodoov1

Prompt
Abraham Lincoln doodoov1 illustration

Prompt
an illustration of a dog in the style of doodoov1

Prompt
a beautiful castle doodoov1 illustration

The doodoov1 LoRA is trained from the FLUX.1-dev, fine-tuned to generate playful, hand-drawn style illustrations with a clean, minimalistic approach. doodoov1 excels at producing charming and whimsical artworks that capture a simple sketch-like aesthetic, perfect for various subjects.

Version Beta 1

Trained on Replicate using: https://replicate.com/lucataco/ai-toolkit

Trigger words

You should use doodoov1 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('risangpanggalih/doodoov1', 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