---
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
Flux.1-dev Simple Doodle Lora: doodoov1
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](https://github.com/huggingface/diffusers)
```py
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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)