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- NijiLoRA v3.0 V6.safetensors +3 -0
- README.md +49 -17
8602176.jpeg
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NijiLoRA v3.0 V6.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:6b1e4dec77285cd0f5a7c8ccdf4f4df40d49da9b47c6907aff3d9b3672b39458
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README.md
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---
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tags:
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widget:
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- text:
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bara, pectorals, colored_skin, furry_male, abs, white_hair, pauldrons,
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furry, armor, full_body, minotaur, navel, standing, pants, large_pectorals,
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blue_skin, nipples, jewelry, embers, cow_ears, tail, bare_pectorals,
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baggy_pants, looking_at_viewer, petals, animal_ears, necklace, cow_horns,
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long_hair
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output:
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url:
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instance_prompt: null
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---
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<Gallery />
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/Akimitsujiro/
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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=True
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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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- photorealistic
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- niji
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- muscular male
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- style
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- nijiv5
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: boy
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widget:
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- text: ' '
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output:
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url: >-
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8602176.jpeg
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---
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# NijiLora
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<Gallery />
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## Model description
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<p><a target="_blank" rel="ugc" href="https://huggingface.co/Akimitsujiro/NijiV5LoRA">https://huggingface.co/Akimitsujiro/NijiV5LoRA</a></p>
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## Trigger words
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You should use `boy`, `niji` 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](/Akimitsujiro/nijilora/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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pipeline = AutoPipelineForText2Image.from_pretrained('runwayml/stable-diffusion-v1-5', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('Akimitsujiro/nijilora', weight_name='NijiLoRA v3.0 V6.safetensors')
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image = pipeline('`boy`, `niji`').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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