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---
license: other
license_name: bespoke-lora-trained-license
license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
- glitch
- style
- artstyle
- corrupted
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: gltch artstyle
widget:
- text: ' '
output:
url: >-
2462614.jpeg
- text: 'Tokyo city skyline sunset vaporwave (gltch artstyle)'
output:
url: >-
2460637.jpeg
- text: 'dinosaur eating broccoli (gltch artstyle)'
output:
url: >-
2460765.jpeg
- text: ' '
output:
url: >-
2460488.jpeg
- text: ' '
output:
url: >-
2460489.jpeg
- text: 'dinosaur eating broccoli (gltch artstyle)'
output:
url: >-
2460766.jpeg
- text: ' '
output:
url: >-
2460662.jpeg
- text: ' '
output:
url: >-
2462615.jpeg
- text: ' '
output:
url: >-
2460254.jpeg
- text: ' '
output:
url: >-
2460256.jpeg
---
# GLTCH artstyle "corrupt CR2 Canon RAW files" 218MB LoRA
<Gallery />
## Model description
<p>Trained on corrupted CR2 RAW files taken from a Canon 6D with <a target="_blank" rel="ugc" href="https://magiclantern.fm/"><em>Magic Lantern</em></a><em> </em>installed<em>.</em><br />I thought the strange colorful banding from these photographs made for an useful LoRA.<br /><br /><span style="color:rgb(17, 17, 17)">☕ </span>Like what I do? <span style="color:rgb(17, 17, 17)">☕</span><br /><span style="color:rgb(17, 17, 17)">☕ </span><a target="_blank" rel="ugc" href="https://www.buymeacoffee.com/doctordiffusion">Buy me a coffee or two</a>! <span style="color:rgb(17, 17, 17)">☕</span></p>
## Trigger words
You should use `gltch artstyle` to trigger the image generation.
## Download model
Weights for this model are available in Safetensors format.
[Download](/DoctorDiffusion/gltch-artstyle-corrupt-cr2-canon-raw-files-218mb-lora/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('DoctorDiffusion/gltch-artstyle-corrupt-cr2-canon-raw-files-218mb-lora', weight_name='DD-gltch-artstyle-XL-v1.safetensors')
image = pipeline('`gltch artstyle`').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)
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