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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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- celebrity |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: sandrab |
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widget: |
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- text: ' short hair, wearing an old grey sweater, as she sits in a cafe,, smiling, happy,' |
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output: |
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url: >- |
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33163113.jpeg |
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- text: ' wearing a grey no sleeve tank top, hair is a straight short bob with bangs, and she''s driving a city bus, from the movie speed.' |
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output: |
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url: >- |
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33163121.jpeg |
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- text: ' full body shot, wearing jeans, wearing a grey no sleeve tank top, hair is a straight short bob with bangs, standing next to a city bus, from the movie speed., smiling, happy,' |
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output: |
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url: >- |
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33163116.jpeg |
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--- |
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# sandra bullock |
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<Gallery /> |
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## Model description |
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<p>Most images were sampled around the time she did speed. </p><p></p><p>Follow me for more.</p> |
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## Trigger words |
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You should use `sandrab` 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](/Keltezaa/sandra-bullock/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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device = "cuda" if torch.cuda.is_available() else "cpu" |
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device) |
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pipeline.load_lora_weights('Keltezaa/sandra-bullock', weight_name='sandrab.safetensors') |
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image = pipeline(' full body shot, wearing jeans, wearing a grey no sleeve tank top, hair is a straight short bob with bangs, standing next to a city bus, from the movie speed., smiling, happy,').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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