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janannfndnd
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SABA

Text-to-Image
Diffusers
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flux
lora
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janannfndnd commited on
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Update README.md

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README.md CHANGED
@@ -31,9 +31,9 @@ You should use `SABA` to trigger the image generation.
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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('janannfndnd/SABA', weight_name='lora.safetensors')
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- image = pipeline('your prompt', height=768, width=512).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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  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('janannfndnd/SABA', weight_name='lora.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)