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: anm
widget:
  - text: >-
      an anm young boy sitting under a large sakura tree, wearing traditional
      festival attire, cherry blossoms gently falling around him, peaceful
      smile, evening sky with vibrant hues.
    output:
      url: images/example_7y3r4uk1q.png
  - text: >-
      an anm girl wearing a school uniform, standing beside her bicycle at a
      rural road, gazing up at the sky, full of hope, morning sunlight and
      dew-covered grass.
    output:
      url: images/example_1l93qqd0r.png
  - text: >-
      an anm quiet residential street at dawn, soft orange sunlight peeking over
      the rooftops, dew-covered flowers along the roadside, a gentle peaceful
      mood.
    output:
      url: images/example_0vyad4135.png

Anime Style Flux Lora Large

Prompt
an anm young boy sitting under a large sakura tree, wearing traditional festival attire, cherry blossoms gently falling around him, peaceful smile, evening sky with vibrant hues.

Prompt
an anm girl wearing a school uniform, standing beside her bicycle at a rural road, gazing up at the sky, full of hope, morning sunlight and dew-covered grass.

Prompt
an anm quiet residential street at dawn, soft orange sunlight peeking over the rooftops, dew-covered flowers along the roadside, a gentle peaceful mood.

Trained on Replicate using:

https://replicate.com/ostris/flux-dev-lora-trainer/train

Trigger words

You should use anm 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('Nishitbaria/Anime-style-flux-lora-Large', 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