metadata
license: other
license_name: bespoke-lora-trained-license
license_link: >-
https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- space
- scifi
- nebula
- style
- space nebula
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: mad-nbla
widget:
- text: 'mad-nbla that forms the text "SPACE NEBULA by madcaddie" '
output:
url: 27201163.jpeg
- text: 'mad-nbla woman with angel wings '
output:
url: 27181508.jpeg
- text: 'punk rocker playing guitar made of mad-nbla '
output:
url: 27181518.jpeg
- text: 'mad-nbla skull shooting flames out of the mouth '
output:
url: 27204119.jpeg
- text: 'space-station that looks like a lighthouse on a mad-nbla cloud '
output:
url: 27181523.jpeg
- text: 'mad-nbla godzilla '
output:
url: 27205780.jpeg
- text: 'woman wearing a mad-nbla dress, ballroom '
output:
url: 27181573.jpeg
Space Nebula FLUX, SDXL & Pony
Model description
Hey there,
this lora turns everything into a space nebula.
If you enjoy my work, consider showing your support with a 👍 or ❤️ on the model or images—it really keeps me motivated!
You can also follow me or buy me a coffee ☕ at: https://ko-fi.com/madcaddie
Usage tips for the LoRA are in the version details
Thanks and have fun!
Trigger words
You should use mad-nbla
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('Keltezaa/space-nebula-flux-sdxl-pony', weight_name='Space Nebula FLUX.safetensors')
image = pipeline('woman wearing a mad-nbla dress, ballroom ').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers