Edit model card

Balloons [SDXL LoRA]

Prompt
balloonz, balloons, made out of balloons, tiger, standing tiger, balloon tiger, in the zoo, zoo made out of balloons
Prompt
balloonz, balloons, made out of balloons, tiger, standing tiger, balloon tiger, in the zoo, zoo made out of balloons
Prompt
baloonz, owl made out of baloons, sitting in a tree, at night, big eyes, shiny moon, glowing moon, foggy ground
Prompt
baloonz, owl made out of baloons, white and brown owl, sitting in a tree, at night, very cute and big eyes, shiny moon, foggy background
Prompt
balloonz, balloons, made out of balloons, fox, sleeping fox, foxhole, underground, dark night, diffuse light
Prompt
balloonz, balloons, made out of balloons, fox, sleeping fox, foxhole, underground, dark night, diffuse light
Prompt
balloonz, balloons, made out of balloons, hedgehog, standing hedgehog,, rainy day, in high grass, diffuse light
Prompt
balloonz, balloons, made out of balloons, hedgehog, sitting hedgehog,, rainy day, in high grass, diffuse light
Prompt
balloonz, balloons, made out of balloons, fish, balloon fish, swimming in the ocean, ship wreck on sea floor
Prompt
baloonz, fish made out of baloons, fish, baloon fish, underwater scene, coral reef made out of baloons

(CivitAI)

Model description

SDXL:
Trigger word: balloonz
Sampling Method: DPM++ 2M SDE Karras

☕ Buy me a coffee: https://ko-fi.com/ralfingerai

If your images produce too many single baloons, just add "ballons" in your negative prompt, that won´t affect the LoRA.

Trigger words

You should use balloonz 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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('RalFinger/balloons-sdxl-lora', weight_name='balloonz-sdxl.safetensors')
image = pipeline('baloonz, fish made out of baloons, fish, baloon fish, underwater scene, coral reef made out of baloons ').images[0]

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

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