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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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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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url: >- |
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--- |
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# CRAZY HAIR |
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<Gallery /> |
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## Model description |
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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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## Trigger words |
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You should use `oxwn_crazy_hair` 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](/Keltezaa/crazy-hair/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('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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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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