sayakpaul HF staff commited on
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081fa7b
1 Parent(s): ce61202

Update README.md

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  1. README.md +3 -4
README.md CHANGED
@@ -79,7 +79,7 @@ for i in range(len((dev_shards))):
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  merged_state_dict.update(guidance_state_dict)
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  load_model_dict_into_meta(model, merged_state_dict)
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- model.to(torch.bfloat16).save_pretrained("/raid/.cache/huggingface/merged-flux")
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  ```
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  ## Inference code
@@ -88,14 +88,13 @@ model.to(torch.bfloat16).save_pretrained("/raid/.cache/huggingface/merged-flux")
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  from diffusers import FluxPipeline, FluxTransformer2DModel
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  import torch
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- transformer = FluxTransformer2DModel.from_pretrained("sayakpaul/FLUX.1-merged", torch_dtype=torch.bfloat16)
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  pipeline = FluxPipeline.from_pretrained(
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- "black-forest-labs/FLUX.1-dev", transformer=transformer, torch_dtype=torch.bfloat16
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  ).to("cuda")
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  image = pipeline(
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  prompt="a tiny astronaut hatching from an egg on the moon",
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  guidance_scale=3.5,
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- num_inference_steps=50,
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  height=880,
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  width=1184,
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  max_sequence_length=512,
 
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  merged_state_dict.update(guidance_state_dict)
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  load_model_dict_into_meta(model, merged_state_dict)
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+ model.to(torch.bfloat16).save_pretrained("merged-flux")
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  ```
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  ## Inference code
 
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  from diffusers import FluxPipeline, FluxTransformer2DModel
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  import torch
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  pipeline = FluxPipeline.from_pretrained(
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+ "sayakpaul/FLUX.1-merged", transformer=transformer, torch_dtype=torch.bfloat16
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  ).to("cuda")
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  image = pipeline(
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  prompt="a tiny astronaut hatching from an egg on the moon",
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  guidance_scale=3.5,
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+ num_inference_steps=4,
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  height=880,
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  width=1184,
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  max_sequence_length=512,