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designer-architecture

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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: DESARCH
widget:
  - text: >-
      Interior DESARCH design, a home in the center in Bryce Canyon National
      Park, spiraling ramp descending through rock strata exhibits,
      floor-to-ceiling windows framing hoodoo formations, interactive erosion
      demonstrations, materials and colors echoing the canyon's layers,
      acoustics designed to mimic canyon echoes, lighting simulating diurnal and
      seasonal changes, a kitchen and a table, with two people walking quickly
      burred out
    output:
      url: images/example_xs0t3kgpr.png

Designer Architecture

Trained on Replicate using:

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

Trigger words

You should use DESARCH 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('davisbro/designer-architecture', 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