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- README.md +63 -0
- emotion_happy_slider_v1.safetensors +3 -0
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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=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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- sad
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- happy
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- emotions
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- tool
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- slider
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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: 'close up photo of a woman with dirty blonde hair, soft box photography in a dark room, straight hair, centered in frame'
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parameters:
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negative_prompt: cartoon, cgi, render, illustration, painting, drawing, bad quality, grainy, low resolution
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output:
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url: >-
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1800239.jpeg
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---
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# Emotion Sliders
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<Gallery />
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## Model description
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<p>I am going to add various emotion sliders here so they will all be in one place. In general, the weights will be -5 to 5, but each one may be more or less. Check versions at the top. Each one will be labeled with the emotion it affects.</p>
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/ostris/emotion-sliders/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('ostris/emotion-sliders', weight_name='emotion_happy_slider_v1.safetensors')
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image = pipeline('close up photo of a woman with dirty blonde hair, soft box photography in a dark room, straight hair, centered in frame').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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emotion_happy_slider_v1.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:7a6b61a3bd0b08ef0ace204e38cfbc441819fa6601e9b199e5d44ef1ea63c996
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size 6434496
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