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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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