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: anmwp
widget:
  - text: >-
      anmwp, serene nighttime landscape, a tranquil Japanese bridge over a
      reflective river, surrounded by cherry blossom trees in full bloom, softly
      glowing paper lanterns floating on the water, ethereal stars and crescent
      moons scattered across the deep blue sky, blooming water lilies creating
      gentle ripples, soft ambient lighting, cinematic lighting, highly
      detailed, anime-inspired fantasy scene
    output:
      url: images/example_uh1n80ep0.png

Animestyle Flux Dev Lora

Prompt
anmwp, serene nighttime landscape, a tranquil Japanese bridge over a reflective river, surrounded by cherry blossom trees in full bloom, softly glowing paper lanterns floating on the water, ethereal stars and crescent moons scattered across the deep blue sky, blooming water lilies creating gentle ripples, soft ambient lighting, cinematic lighting, highly detailed, anime-inspired fantasy scene

Trained on Replicate using:

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

Trigger words

You should use anmwp 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('Nishit2411/AnimeStyle-flux-Dev-Lora', 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