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