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---
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
instance_prompt: NEOCUTE3D
widget:
- text: >-
NEOCUTE3D of Picture a valiant knight in shining armor, mounted on a gallant steed, charging with a lance towards an opponent in a lively medieval fair setting
output:
url: images/knight.webp
- text: >-
NEOCUTE3D of a astronaut in a high-tech space suit stepping onto an alien landscape, proudly planting a flag as colorful alien flora surrounds them
output:
url: images/astronaut.webp
- text: >-
NEOCUTE3D of a street musician playing the violin with a colorful background
output:
url: images/violin.webp
- text: >-
NEOCUTE3D of a cyclist riding through a scenic mountain trail
output:
url: images/bike.webp
- text: >-
NEOCUTE3D of a ninja doing a high kick
output:
url: images/Ninja.webp
- text: >-
NEOCUTE3D of a a cute monster
output:
url: images/monster.webp
---
<Gallery />
Trigger word: `NEOCUTE3D`
# Flux_Cute3D
Trained on Replicate using:
https://replicate.com/ostris/flux-dev-lora-trainer/train
## Trigger words
You should use `NEOCUTE3D` 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('SebastianBodza/flux_cute3D', 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)
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