Himanshu-AT commited on
Commit
fd9cbdf
·
1 Parent(s): 36f2a12

working xformers

Browse files
Files changed (1) hide show
  1. app.py +2 -1
app.py CHANGED
@@ -16,7 +16,6 @@ MAX_IMAGE_SIZE = 2048
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  pipe = FluxFillPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16).to("cuda")
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  pipe.load_lora_weights("alvdansen/flux-koda")
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  pipe.enable_sequential_cpu_offload()
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- pipe.enable_xformers_memory_efficient_attention()
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  pipe.enable_fp16()
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  def calculate_optimal_dimensions(image: Image.Image):
@@ -58,6 +57,8 @@ def calculate_optimal_dimensions(image: Image.Image):
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  @spaces.GPU(durations=300)
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  def infer(edit_images, prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
 
 
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  image = edit_images["background"]
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  width, height = calculate_optimal_dimensions(image)
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  mask = edit_images["layers"][0]
 
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  pipe = FluxFillPipeline.from_pretrained("black-forest-labs/FLUX.1-Fill-dev", torch_dtype=torch.bfloat16).to("cuda")
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  pipe.load_lora_weights("alvdansen/flux-koda")
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  pipe.enable_sequential_cpu_offload()
 
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  pipe.enable_fp16()
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  def calculate_optimal_dimensions(image: Image.Image):
 
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  @spaces.GPU(durations=300)
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  def infer(edit_images, prompt, seed=42, randomize_seed=False, width=1024, height=1024, guidance_scale=3.5, num_inference_steps=28, progress=gr.Progress(track_tqdm=True)):
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+ pipe.enable_xformers_memory_efficient_attention()
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+
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  image = edit_images["background"]
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  width, height = calculate_optimal_dimensions(image)
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  mask = edit_images["layers"][0]