cocktailpeanut commited on
Commit
ea02acf
1 Parent(s): 1f688c5
Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -1,7 +1,7 @@
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  import gradio as gr
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  import numpy as np
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  import random
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- import spaces
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  import torch
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  import devicetorch
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  from diffusers import DiffusionPipeline
@@ -22,7 +22,7 @@ pipe = DiffusionPipeline.from_pretrained("cocktailpeanut/xulf-dev", torch_dtype=
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  MAX_SEED = np.iinfo(np.int32).max
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  MAX_IMAGE_SIZE = 2048
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- @spaces.GPU()
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  def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
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  if randomize_seed:
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  seed = random.randint(0, MAX_SEED)
 
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  import gradio as gr
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  import numpy as np
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  import random
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+ #import spaces
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  import torch
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  import devicetorch
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  from diffusers import DiffusionPipeline
 
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  MAX_SEED = np.iinfo(np.int32).max
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  MAX_IMAGE_SIZE = 2048
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+ #@spaces.GPU()
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  def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
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  if randomize_seed:
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  seed = random.randint(0, MAX_SEED)