--- 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 ## 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](/Purz/candy/tree/main) them in the Files & versions tab. ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) ```py 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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)