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- 17927578.jpeg +0 -0
- 17928291.jpeg +0 -0
- Alisha_Klass-000001.safetensors +3 -0
- README.md +71 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:45f35d5ac694e698d759e7788106e41fdc8ca5b53f9f6f33396e15af5c3fc48c
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size 37872080
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README.md
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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=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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- character
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- evang
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- alisha klass
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base_model: runwayml/stable-diffusion-v1-5
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instance_prompt: Alisha_klass
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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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- text: ' '
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output:
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url: >-
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---
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# Alisha Klass
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<Gallery />
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## Model description
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<p>based on Actress and Model Alisha Klass.</p><p></p><p>I recommend using a model like epic realism as the base</p>
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## Trigger words
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You should use `Alisha_klass`, `evang` 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](/brushpenbob/alisha-klass/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('brushpenbob/alisha-klass', weight_name='Alisha_Klass-000001.safetensors')
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image = pipeline('`Alisha_klass`, `evang`').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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