Purz/candy
Candy
<Gallery />
Model description
<p>Candy - LoRA (Flux.1 D)</p><p></p><p>Trained on images of large piles of delicious candy.</p><p></p><p>Mixes well with other LoRAs around 0.4 -> 0.6 strength.</p><p></p><p>"c4ndy, a pile of colorful candies sitting on top of each other on a white surface. the candies come in a variety of colors"</p><p></p><p>Purz</p><p>Website: <a target="blank" rel="ugc" href="https://www.purz.xyz/">https://www.purz.xyz/</a></p><p>Creative Exploration /w Purz: <a target="blank" rel="ugc" href="https://www.youtube.com/@PurzBeats">https://www.youtube.com/@PurzBeats</a></p><p>Patreon: <a target="blank" rel="ugc" href="https://www.patreon.com/Purz">https://www.patreon.com/Purz</a></p><p>Twitter/X: <a target="blank" rel="ugc" href="https://x.com/PurzBeats">https://x.com/PurzBeats</a></p><p>Instagram: <a target="_blank" rel="ugc" href="https://www.instagram.com/purzbeats/">https://www.instagram.com/purzbeats/</a></p>
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