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README.md
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# Carole Tranier
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## Trigger words
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You should use `carol9_trani9r` 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](/obann001/Carole_Tranier_Flux_LoRA/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('obann001/
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image = pipeline('your 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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# Carole Tranier
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## Trigger words
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You should use `carol9_trani9r` 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](/obann001/Carole_Tranier_Flux_LoRA/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('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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pipeline.load_lora_weights('obann001/Carole_Tranier_Flux_LoRA', weight_name='carol9_trani9r_v1_flux_lora_rank64_bf16-step00750.safetensors')
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image = pipeline('your 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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