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Browse files- 2460254.jpeg +0 -0
- 2460256.jpeg +0 -0
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- 2460489.jpeg +0 -0
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- 2462614.jpeg +0 -0
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- DD-gltch-artstyle-XL-v1.safetensors +3 -0
- README.md +96 -0
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DD-gltch-artstyle-XL-v1.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:8d62e7721bf094315a52aee746bc7d0553df602e8a3b221dce9315b77d5a34bb
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size 228453276
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README.md
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---
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license: other
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license_name: bespoke-lora-trained-license
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license_link: https://multimodal.art/civitai-licenses?allowNoCredit=True&allowCommercialUse=Rent&allowDerivatives=True&allowDifferentLicense=False
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tags:
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- text-to-image
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- stable-diffusion
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- lora
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- diffusers
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- template:sd-lora
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- glitch
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- style
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- artstyle
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- corrupted
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: gltch artstyle
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widget:
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- text: ' '
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output:
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url: >-
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- text: 'Tokyo city skyline sunset vaporwave (gltch artstyle)'
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output:
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url: >-
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- text: 'dinosaur eating broccoli (gltch artstyle)'
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output:
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url: >-
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- text: 'dinosaur eating broccoli (gltch artstyle)'
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output:
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url: >-
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output:
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url: >-
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---
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# GLTCH artstyle "corrupt CR2 Canon RAW files" 218MB LoRA
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<Gallery />
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## Model description
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<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>
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## Trigger words
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You should use `gltch artstyle` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/DoctorDiffusion/gltch-artstyle-corrupt-cr2-canon-raw-files-218mb-lora/tree/main) them in the Files & versions tab.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('DoctorDiffusion/gltch-artstyle-corrupt-cr2-canon-raw-files-218mb-lora', weight_name='DD-gltch-artstyle-XL-v1.safetensors')
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image = pipeline('`gltch artstyle`').images[0]
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```
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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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