README.md

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: SYRDESN
widget:
  - text: >-
      a living room in downtown los angeles apartment with furniture in the
      style of SYRDESN
    output:
      url: images/example_xojjiwc2b.png
  - text: >-
      a living room in new york manhattan apartment with furniture in the style
      of SYRDESN IMG_25.HEIC
    output:
      url: images/example_94sm4larl.png
  - text: >-
      a living room in new york manhattan apartment with furniture in the style
      of SYRDESN
    output:
      url: images/example_yhiopq480.png

Syriandesign

Prompt

a living room in downtown los angeles apartment with furniture in the style of SYRDESN

Prompt

a living room in new york manhattan apartment with furniture in the style of SYRDESN IMG_25.HEIC

Prompt

a living room in new york manhattan apartment with furniture in the style of SYRDESN

-->

Trained on Replicate using:

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

Trigger words

You should use SYRDESN 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('Aymokarim/syriandesign', 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