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+ oid sha256:9fff987ac70834c656f34903df6a03ed1723a5725822c5513b7c8738e06eb567
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+ size 37873888
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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=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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+ - anime
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+ - style
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+ - cute
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+
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+ base_model: runwayml/stable-diffusion-v1-5
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+ instance_prompt:
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+ widget:
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+ - text: ' '
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+
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+ ---
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+
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+ # Cute Flat Anime
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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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+ ([CivitAI](https://civitai.com/models/421532))
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+
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+ ## Model description
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+
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+ <p><a target="_blank" rel="ugc" href="https://ko-fi.com/citronlegacy">Help fuel my passion! Even $1 makes a difference. <strong>☕ </strong>https://ko-fi.com/citronlegacy</a></p><p>Check out all the Art styles I’ve made: <a target="_blank" rel="ugc" href="https://civitai.com/user/CitronLegacy/models?tag=style">https://civitai.com/user/CitronLegacy/models?tag=style</a></p><hr /><p>Trained on: 66 images</p><p>Training Model: AnyLoRA_noVae_fp16-pruned</p><p>flip_aug: False</p><p>Num of Repeats: 10</p><p>Unit is Epochs or Steps: Epochs</p><p>Number of Epochs or Steps: 10</p><p>Training Batch Size: 2</p><p>Total Steps: 3300</p><p>Resolution: 512</p><p>Network Dim: Dim 32 and Alpha 16</p><p>Lora Creation Process took: 00:35:28</p>
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+
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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](/yongtaek-lim/cute-flat-anime/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('yongtaek-lim/cute-flat-anime', weight_name='FlatAnime.safetensors')
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+ image = pipeline('Your custom prompt').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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+