---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Sell&allowDerivatives=True&allowDifferentLicense=True
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- migrated
- style

base_model: stabilityai/stable-diffusion-2-1-base
instance_prompt: 
widget:
- text: 'Man sleeping next to clock'
  
  output:
    url: >-
      7381798.jpeg
- text: 'Lady death'
  
  output:
    url: >-
      7381799.jpeg

---

# nanasa 

<Gallery />





## Model description

<p>Model based on my personal artwork for experimentation.</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/dfrer/nanasa/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

pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-2-1-base', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('dfrer/nanasa', weight_name='nanasa-000009.safetensors')
image = pipeline('Lady death').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)