nanasa / README.md
dfrer's picture
Upload folder using huggingface_hub
d7dcb38 verified
---
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
device = "cuda" if torch.cuda.is_available() else "cpu"
pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-2-1-base', torch_dtype=torch.float16).to(device)
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)