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
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

Prompt
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

Prompt
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

Prompt
NEOCUTE3D of a street musician playing the violin with a colorful background

Prompt
NEOCUTE3D of a cyclist riding through a scenic mountain trail

Prompt
NEOCUTE3D of a ninja doing a high kick

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

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