brushpenbob
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- 17522087.jpeg +0 -0
- 17522088.jpeg +0 -0
- README.md +71 -0
- ohuhu.safetensors +3 -0
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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=False&allowCommercialUse=RentCivit&allowDerivatives=False&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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- manga
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- style
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- comic
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- the protoart
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base_model: stabilityai/stable-diffusion-xl-base-1.0
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instance_prompt:
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widget:
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- text: ' '
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output:
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url: >-
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- text: ' '
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output:
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url: >-
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17522088.jpeg
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- text: ' '
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output:
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url: >-
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17522086.jpeg
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---
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# ohuhu
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<Gallery />
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## Model description
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<p>My updated model based on ink and Copic markers. larger data set, slightly more variety</p><div data-youtube-video><iframe width="640" height="480" allowfullscreen="true" autoplay="false" disablekbcontrols="false" enableiframeapi="false" endtime="0" ivloadpolicy="0" loop="false" modestbranding="false" origin playlist src="https://www.youtube.com/embed/QynE0UGQhRs" start="0"></iframe></div>
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/brushpenbob/ohuhu/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('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('brushpenbob/ohuhu', weight_name='ohuhu.safetensors')
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image = pipeline('Your custom prompt').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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version https://git-lfs.github.com/spec/v1
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oid sha256:7c1d6618a4d960fd0c98fabc7cca38bc427e6a9e3b2532bdd5e868ecf7c82239
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size 228490292
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