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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:9f3f3dce64a040d37e8c9c6a874c45d62d7bb6d7028f21d27fb76d5556e359ab
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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=Rent&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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+ - concept
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+ - pokemon
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+ - irl
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+ - pokemongo
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: PokIRL
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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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+ # PokIRL [SDXL]
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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/))
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+
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+ ## Model description
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+
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+ <p>PokIRL (Pokemon In-Real-Life) is inspired by Pokemon GO's "AR" mode where you can take picture of Pokemon in your "Real life" environment.</p><p>If you want to make a Pokemon version of a known person or artwork, use LoRA weight scale of &gt;1 (e.g. 1.4), otherwise a LoRA weight scale of 1.0 works kind of fine.</p>
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+
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+ ## Trigger words
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+ You should use `PokIRL` 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](/Norod78/pokirl-sdxl/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('Norod78/pokirl-sdxl', weight_name='PokIRL_SDXL-000009.safetensors')
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+ image = pipeline('`PokIRL`').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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+