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Git LFS Details

  • SHA256: a3db18fc8310b225c480ecb6046815f6eb7bd2cdc3c1635de9160b8c2f0ab23d
  • Pointer size: 133 Bytes
  • Size of remote file: 19.8 MB
README.md ADDED
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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=1&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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+ - migrated
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+ - style
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+ - woman
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+ - man
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+ - hair
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+ - haircut
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+ - hairstyle
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+ - styles
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+ - hairs
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+
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: oxwn_crazy_hair
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+ widget:
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+ - text: ' '
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+ output:
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+
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+ ---
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+
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+ # CRAZY HAIR
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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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+ <h2 id="here-is-a-lora-model-that-i-primarily-designed-to-achieve-very-expressive-and-voluminous-hair-which-works-well-both-on-photorealistic-images-and-toon-style-characters.-e5p69b1t0"><strong>Here is a LoRA model that I primarily designed to achieve very expressive and voluminous hair, which works well both on photorealistic images and toon-style characters.</strong></h2><p></p><h2 id="training:-2000-steps-n8191n1pp"><strong><span style="color:rgb(181, 181, 181)">Training:</span><span style="color:rgb(250, 82, 82)"> 2000 steps</span></strong></h2><p></p><h2 id="trigger:-oxwn_crazy_hair-7f7g1qvm1"><strong>Trigger: <span style="color:rgb(237, 78, 78)">oxwn_crazy_hair</span></strong></h2><p></p><h2 id="enjoy-!-9rayx4hxu"><strong><span style="color:#228be6">Enjoy !</span></strong></h2>
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+
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+ ## Trigger words
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+ You should use `oxwn_crazy_hair` 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](/Keltezaa/crazy-hair/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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+ device = "cuda" if torch.cuda.is_available() else "cpu"
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
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+ pipeline.load_lora_weights('Keltezaa/crazy-hair', weight_name='oxwn_crazy_hair_000002000.safetensors')
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+ image = pipeline('`oxwn_crazy_hair`').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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+
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