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
  - concept
  - lollipop
  - candy
  - sweets
  - purz
  - flux1.d
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: c4ndy
widget:
  - text: >-
      c4ndy, a close up of a basket filled with colorful gummy bears on a pink
      surface. the basket is made up of different colored candies
    output:
      url: 33721998.jpeg
  - text: |+
      c4ndy, a pile of colorful lollipops sitting on top of each other

    output:
      url: 33721994.jpeg
  - text: 'c4ndy, adorable kitten made out of licorice '
    output:
      url: 33721995.jpeg
  - text: ' '
    output:
      url: 33722603.jpeg
  - text: c4ndy, purz_face, a man made of candy wearing candy glasses
    output:
      url: 33722608.jpeg

Candy

Prompt
c4ndy, a close up of a basket filled with colorful gummy bears on a pink surface. the basket is made up of different colored candies

Prompt
c4ndy, a pile of colorful lollipops sitting on top of each other

Prompt
c4ndy, adorable kitten made out of licorice

Prompt
c4ndy, purz_face, a man made of candy wearing candy glasses

Model description

Candy - LoRA (Flux.1 D)

Trained on images of large piles of delicious candy.

Mixes well with other LoRAs around 0.4 -> 0.6 strength.

"c4ndy, a pile of colorful candies sitting on top of each other on a white surface. the candies come in a variety of colors"

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 c4ndy 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/candy', weight_name='purz-c4ndy.safetensors')
image = pipeline('c4ndy, purz_face, a man made of candy wearing candy glasses').images[0]

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