DoctorDiffusion/gltch-artstyle-corrupt-cr2-canon-raw-files-218mb-lora

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 them in the Files & versions tab.

Use it with the 🧨 diffusers library

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