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  3. README.md +67 -0
  4. waterworld.safetensors +3 -0
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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=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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+ - migrated
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+ - water
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+ - style
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+ - isometric
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+ - floatingisland
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+
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt: waterworld
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+ widget:
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+ - text: ' '
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+
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+ output:
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+ url: >-
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+ 6398809.jpeg
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+ - text: ' '
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+
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+ output:
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+ url: >-
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+ 6418094.jpeg
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+
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+ ---
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+
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+ # waterworld
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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>"waterworld" is a fun lighthearted cartoon model will add that splash of creativity to your workflow.</p><p>use terms like :</p><p>ocean</p><p>island</p><p>floating island</p><p> isometric</p><p></p>
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+
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+ ## Trigger words
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+ You should use `waterworld` 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/waterworld/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('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('brushpenbob/waterworld', weight_name='waterworld.safetensors')
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+ image = pipeline('`waterworld`').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 37887040