README.md

---
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
- anime
- person
- cel shaded
- scenery
- style
- cartoon
- cel shading

base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: 
widget:
- text: 'gargantuan,amazing fantasy megastructure outside of the multiverse'
  output:
    url: >-
      3944136.jpeg
- text: 'smithy in a epic,whimsical fantasy topia outside of the universe, masterpiece'
  output:
    url: >-
      3944065.jpeg
- text: 'noon, blue sky, clouds, architecture, commercial Trendercore tailor shop in a shanty town'
  output:
    url: >-
      3944075.jpeg
- text: 'forbidden Experimental Agriculture Zone'
  output:
    url: >-
      3944061.jpeg
- text: 'armageddon Permanently Lit Peaks'
  output:
    url: >-
      3944063.jpeg
- text: 'noon, blue sky, clouds, scenery, Plant Mom plain background'
  output:
    url: >-
      3944066.jpeg
- text: 'natural sunlight, interior, in a indoor wizard''s laboratory'
  output:
    url: >-
      3944073.jpeg
- text: 'brightly lit interior, in a Cheerful hall'
  output:
    url: >-
      3944074.jpeg
- text: 'morning, blue sky, clouds, architecture, "at the epic black hole"'
  output:
    url: >-
      3944076.jpeg
- text: 'Floating market along the canal in a impossible scifi cosmic megastructure edge of the multiverse, masterpiece'
  output:
    url: >-
      3944085.jpeg

---

# Envy Cel Shaded XL 01 

<Gallery />





## Model description

<p>Renders things in a cel-shaded style.  Recommended strength: 1 to 1.5.</p>



## Download model

Weights for this model are available in Safetensors format.

[Download](/e-n-v-y/envy-cel-shaded-xl-01/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-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
pipeline.load_lora_weights('e-n-v-y/envy-cel-shaded-xl-01', weight_name='EnvyCelShadedXL01.safetensors')
image = pipeline('Floating market along the canal in a impossible scifi cosmic megastructure edge of the multiverse, masterpiece').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)