metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=True
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - neon
  - concept
  - text
  - sign
  - neon signs
  - purz
  - flux1.d
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: dr13d_fl0w3r5
widget:
  - text: dr13d_fl0w3r5, sushi made of dried flowers
    output:
      url: 33949504.jpeg
  - text: dr13d_fl0w3r5, a woman wearing a dress made of dried flowers
    output:
      url: 33949568.jpeg
  - text: dr13d_fl0w3r5, a man wearing glasses beard made of dried flowers
    output:
      url: 33949608.jpeg
  - text: dr13d_fl0w3r5, a delicious thanksgiving dinner made of dried flowers
    output:
      url: 33949618.jpeg

Dried Flowers

Prompt
dr13d_fl0w3r5, a man wearing glasses beard made of dried flowers

Prompt
dr13d_fl0w3r5, a delicious thanksgiving dinner made of dried flowers

Model description

Dried Flowers - LoRA (Flux.1 D)

Trained on images dried flowers, mixes really well with food.

"dr13d_fl0w3r5, a delicious thanksgiving dinner made of dried flowers"

Purz

Website: https://www.purz.xyz/
Creative Exploration /w Purz: https://www.youtube.com/@PurzBeats
Patreon: https://www.patreon.com/Purz
Twitter/X: https://x.com/PurzBeats
Instagram: https://www.instagram.com/purzbeats/

Trigger words

You should use dr13d_fl0w3r5 to trigger the image generation.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('Purz/dried-flowers', weight_name='purz-dr13d_fl0w3r5.safetensors')
image = pipeline('dr13d_fl0w3r5, a delicious thanksgiving dinner made of dried flowers').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers