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Update README.md

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@@ -46,7 +46,7 @@ import torch
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  from diffusers import FluxPipeline
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16)
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- pipe.enable_model_cpu_offload()
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  prompt = "A cat holding a sign that says hello world"
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  image = pipe(
@@ -60,6 +60,8 @@ image = pipe(
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  image.save("flux-schnell.png")
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  ```
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  ---
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  # Limitations
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  - This model is not intended or able to provide factual information.
 
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  from diffusers import FluxPipeline
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  pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16)
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+ pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
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  prompt = "A cat holding a sign that says hello world"
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  image = pipe(
 
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  image.save("flux-schnell.png")
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  ```
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+ To learn mode check out the [diffusers](https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux) documentation
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+
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  ---
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  # Limitations
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  - This model is not intended or able to provide factual information.