metadata

license: other
license_name: bespoke-lora-trained-license
license_link: >-
  https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Image&allowDerivatives=True&allowDifferentLicense=False
tags:
  - text-to-image
  - stable-diffusion
  - lora
  - diffusers
  - template:sd-lora
  - migrated
  - style
  - mosaic
  - candy
  - pill
  - pills
  - candies
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: Pill and Candy Mosaic
widget:
  - text: Pill and Candy Mosaic. cute cat
    output:
      url: 51623373.jpeg
  - text: Pill and Candy Mosaic. Planet earth floating in space
    output:
      url: 51622606.jpeg
  - text: Pill and Candy Mosaic. Planet earth floating in space
    output:
      url: images/example_yk3zu5j5u.png
  - text: Pill and Candy Mosaic. A  cute closeup on a Llama's head
    output:
      url: images/example_atajggya0.png
datasets:
  - Norod78/PillAndCandyMosaic

Pill and Candy Mosaic Style [FLUX]

Prompt
Pill and Candy Mosaic. Planet earth floating in space

Prompt
Pill and Candy Mosaic. A cute closeup on a Llama's head

(CivitAI)

Model description

Have Pill and Candy Mosaic in your prompts

Trigger words

You should use Pill and Candy Mosaic 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('Norod78/pill-and-candy-mosaic-style-flux', weight_name='Pill_and_Candy_Mosaic_Style_FLUX.safetensors')
image = pipeline('Pill and Candy Mosaic. Two cyclists in the foreground and one in the background').images[0]

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