Upload LoRA: Cursed Images SDXL LoRA from Civitai model ID 259970
Browse files- .gitattributes +1 -0
- 5341274.jpeg +0 -0
- 5341275.jpeg +0 -0
- 5341283.jpeg +0 -0
- 5341297.jpeg +3 -0
- 5341298.jpeg +0 -0
- README.md +79 -0
- cursedimagessdxl.safetensors +3 -0
.gitattributes
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5341274.jpeg
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5341275.jpeg
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Git LFS Details
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5341298.jpeg
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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=Image&allowDerivatives=True&allowDifferentLicense=True
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tags:
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- concept
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- cursed
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- diffusers
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- lora
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- meme
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- memes
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- migrated
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- shitposting
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- stable-diffusion
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- template:sd-lora
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- text-to-image
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt: cursed image
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widget:
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- text: 'cursed image '
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output:
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url: >-
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5341274.jpeg
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- text: 'cursed image '
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output:
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url: >-
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5341275.jpeg
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- text: 'cursed image '
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output:
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url: >-
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5341283.jpeg
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- text: 'cursed image '
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output:
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url: >-
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5341297.jpeg
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- text: 'cursed image '
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output:
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url: >-
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5341298.jpeg
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---
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# Cursed Images SDXL LoRA
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<Gallery />
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This model was originally uploaded on [CivitAI](https://civitai.com/models/259970), by [analogspiderweb](https://civitai.com/user/analogspiderweb/models). The information below was provided by the author on CivitAI:
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([CivitAI](https://civitai.com/models/259970))
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## Model description
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<p>Trained on top posts from <a target="_blank" rel="ugc" href="http://reddit.com/r/cursedimages">reddit.com/r/cursedimages</a></p><p>Some (but not all) preview images were made with TensorRT: <a target="_blank" rel="ugc" href="https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT">https://github.com/NVIDIA/Stable-Diffusion-WebUI-TensorRT</a></p>
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## Trigger words
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You should use `cursed image` to trigger the 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](/analogspiderweb/cursed-images-sdxl-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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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to(device)
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pipe.load_lora_weights('analogspiderweb/cursed-images-sdxl-lora', weight_name='cursedimagessdxl.safetensors')
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image = pipeline('cursed image ').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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cursedimagessdxl.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:80f7818e620cfe63dff7cf5be7fb06b7360c87668b08e4febffbfe0b6fa68ec2
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size 228456044
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