---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style
- cartoon
- once upon a time
- flux style
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: ouat cartoon
widget:
- text: 'The American gothic couple ouat cartoon '
output:
url: >-
57429583.jpeg
- text: 'A girl character with a pearl earring by Vermeer ouat cartoon '
output:
url: >-
57429605.jpeg
- text: 'Once upon a time - Life ouat cartoon '
output:
url: >-
57433777.jpeg
- text: 'Rick Sanchez ouat cartoon '
output:
url: >-
57429622.jpeg
- text: 'A night elf dancer ouat cartoon '
output:
url: >-
57429943.jpeg
- text: 'American gothic by Grant Wood ouat cartoon '
output:
url: >-
57429983.jpeg
- text: 'An old farmer fighting a huge potato in the field ouat cartoon ouat cartoon '
output:
url: >-
57433356.jpeg
- text: 'horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini ouat cartoon '
output:
url: >-
57433464.jpeg
- text: 'A doctor woman fights an evil virus with the title "Once upon a time" ouat cartoon '
output:
url: >-
57432110.jpeg
- text: 'A woman piloting a spaceship inside an alien cave ouat cartoon '
output:
url: >-
57432555.jpeg
- text: 'Once upon a time - Man ouat cartoon '
output:
url: >-
57434280.jpeg
- text: 'Dr. who next to their TARDIS ouat cartoon ouat cartoon '
output:
url: >-
57434474.jpeg
---
# Once upon a time (cartoon) style [FLUX]
Once Upon a Time... ("Il était une fois...") is a French educational animation franchise.
Use ouat cartoon in your prompts
Fine tuned with Astria AI
## Trigger words You should use `ouat cartoon` to trigger the image generation. ## Download model Weights for this model are available in Safetensors format. [Download](/Norod78/once-upon-a-time-cartoon-style-flux/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py from diffusers import AutoPipelineForText2Image import torch device = "cuda" if torch.cuda.is_available() else "cpu" pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device) pipeline.load_lora_weights('Norod78/once-upon-a-time-cartoon-style-flux', weight_name='ouat_cartoon-Flux-LoRA-2126374.safetensors') image = pipeline('Dr. who next to their TARDIS ouat cartoon ouat cartoon ').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)