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
- character
- puppet
- cactus
- kishkashta
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: green monster
widget:
- text: A green monster in a leather jacket riding a motorcycle in the desert
output:
url: 29675012.jpeg
- text: >-
A green monster is a DJ at a night club, fish eye lens, smoke machine,
lazer lights, holding a martini
output:
url: 29675017.jpeg
- text: >-
A green monster with a red wig, playing chess at the park, bomb going off
in the background
output:
url: 29675019.jpeg
- text: green monster eating spaghetti
output:
url: 29675022.jpeg
- text: >-
green monster is smoking a Marijuana joint next to a Marijuana plant in a
pot
output:
url: 29675027.jpeg
datasets:
- Norod78/KishKashta
Green Cactus Monster (KishKashta) [FLUX]
Model description
Kishkashta is a very niche character
Use "green monster" in your prompts to trigger the generation
Lora trained with Astria.AI
Also available on CivitAI
Trigger words
You should use green monster
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/green-cactus-monster-kishkashta-flux', weight_name='Flux-Green_Monster-KishKashta-LoRA-1611173.safetensors')
image = pipeline('A green monster is eating spaghetti').images[0]
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers