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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&allowDifferentLicense=True
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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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+ - migrated
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+ - concept
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+ - melting
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+ - drip
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+ - dripping
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+ - melt
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: evangmelt
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+ widget:
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+ - text: ' '
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+ output:
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+ url: >-
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+ output:
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+ url: >-
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+ 25125829.jpeg
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+
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+ ---
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+
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+ # drippy melt
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+
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+ <Gallery />
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+
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+
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+
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+
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+
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+ ## Model description
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+
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+ <p>my first attempt at making a dripping art style</p><p></p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>
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+
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+ ## Trigger words
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+ You should use `evangmelt`, `Drippy34` to trigger the image generation.
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+
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+
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+ ## Download model
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/brushpenbob/drippy-melt/tree/main) them in the Files & versions tab.
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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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('brushpenbob/drippy-melt', weight_name='melting_drip.safetensors')
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+ image = pipeline('`evangmelt`, `Drippy34`').images[0]
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+ ```
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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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+ size 228456596