---
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
- text: 'A green monster is eating spaghetti'
  
  output:
    url: >-
      29675052.jpeg

---

# Green Cactus Monster (KishKashta) [FLUX] 

<Gallery />



([CivitAI](https://civitai.com/models/))

## Model description

<p>Kishkashta is a very <a rel="ugc" href="https://en.wikipedia.org/wiki/Kishkashta">niche character</a></p><p>Use "green monster" in your prompts to trigger the generation</p>

## Trigger words
You should use `green monster` to trigger the image generation.
    

## Download model

Weights for this model are available in Safetensors format.

[Download](/Norod78/green-cactus-monster-kishkashta-flux/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('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](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)