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Update README.md

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- # Use a pipeline as a high-level helper
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- from transformers import pipeline
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- messages = [
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- {"role": "user", "content": "Who are you?"},
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- ]
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- pipe = pipeline("text-generation", model="google/gemma-2-2b-it")
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- pipe(messages)# Use a pipeline as a high-level helper
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- from transformers import pipeline
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- messages = [
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- {"role": "user", "content": "Who are you?"},
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- ]
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- pipe = pipeline("text-generation", model="google/gemma-2-2b-it")
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- pipe(messages)
 
 
 
 
 
 
 
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+ import torch
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+ from diffusers import FluxPipeline
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+ pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", 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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+ prompt,
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+ height=1024,
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+ width=1024,
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+ guidance_scale=3.5,
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+ num_inference_steps=50,
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+ max_sequence_length=512,
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+ generator=torch.Generator("cpu").manual_seed(0)
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+ ).images[0]
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+ image.save("flux-dev.png")