debisoft commited on
Commit
ddd5ebc
1 Parent(s): d636df2
Files changed (1) hide show
  1. app.py +11 -8
app.py CHANGED
@@ -258,8 +258,8 @@ def greet(input):
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  #samples, intermediate = sample_ddim_context(32, ctx, n=steps)
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- ###samples, intermediate = sample_ddpm_context(image_count, steps, ctx)
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- samples, intermediate = sample_ddim_context(image_count, ctx, steps)
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  #samples, intermediate = sample_ddim(32, n=steps)
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  #ctx = F.one_hot(torch.randint(0, 5, (32,)), 5).to(device=device).float()
@@ -269,16 +269,19 @@ def greet(input):
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  #response2 = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[1]))
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  #response = im.fromarray(intermediate[24][0][1]).convert("RGB")
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- sx_gen_store = np.moveaxis(intermediate,2,4)
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- nsx_gen_store = norm_all(sx_gen_store, sx_gen_store.shape[0], image_count)
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-
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- response = intermediate.shape;
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- response2 = transform2(transform(nsx_gen_store[-1][0]))
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-
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  sx_gen_store = np.moveaxis([samples],2,4)
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  nsx_gen_store = norm_all(sx_gen_store, sx_gen_store.shape[0], image_count)
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  response3 = transform2(transform(nsx_gen_store[-1][0]))
 
 
 
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  # response3 = transform2(transform(nsx_gen_store[-1][1]))
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  # response4 = transform2(transform(nsx_gen_store[-1][2]))
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  # response5 = transform2(transform(nsx_gen_store[-1][3]))
 
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  #samples, intermediate = sample_ddim_context(32, ctx, n=steps)
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+ samples, intermediate = sample_ddpm_context(image_count, steps, ctx)
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+ # #samples, intermediate = sample_ddim_context(image_count, ctx, steps)
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  #samples, intermediate = sample_ddim(32, n=steps)
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  #ctx = F.one_hot(torch.randint(0, 5, (32,)), 5).to(device=device).float()
 
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  #response2 = transform2(transform(np.moveaxis(samples.detach().cpu().numpy(),1,3)[1]))
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  #response = im.fromarray(intermediate[24][0][1]).convert("RGB")
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+ # # sx_gen_store = np.moveaxis(intermediate,2,4)
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+ # nsx_gen_store = norm_all(sx_gen_store, sx_gen_store.shape[0], image_count)
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+ #
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+ # response = intermediate.shape;
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+ # response2 = transform2(transform(nsx_gen_store[-1][0]))
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+ #
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  sx_gen_store = np.moveaxis([samples],2,4)
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  nsx_gen_store = norm_all(sx_gen_store, sx_gen_store.shape[0], image_count)
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  response3 = transform2(transform(nsx_gen_store[-1][0]))
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+
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+
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+
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  # response3 = transform2(transform(nsx_gen_store[-1][1]))
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  # response4 = transform2(transform(nsx_gen_store[-1][2]))
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  # response5 = transform2(transform(nsx_gen_store[-1][3]))