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  1. app.py +2 -1
  2. train/__pycache__/__init__.cpython-38.pyc +0 -0
  3. train/scripts/__pycache__/__init__.cpython-38.pyc +0 -0
  4. train/scripts/__pycache__/generate_lm_multiple.cpython-38.pyc +0 -0
  5. train/tencentpretrain/__pycache__/__init__.cpython-38.pyc +0 -0
  6. train/tencentpretrain/__pycache__/model_loader.cpython-38.pyc +0 -0
  7. train/tencentpretrain/__pycache__/opts.cpython-38.pyc +0 -0
  8. train/tencentpretrain/embeddings/__pycache__/__init__.cpython-38.pyc +0 -0
  9. train/tencentpretrain/embeddings/__pycache__/dual_embedding.cpython-38.pyc +0 -0
  10. train/tencentpretrain/embeddings/__pycache__/embedding.cpython-38.pyc +0 -0
  11. train/tencentpretrain/embeddings/__pycache__/masked_patch_embedding.cpython-38.pyc +0 -0
  12. train/tencentpretrain/embeddings/__pycache__/patch_embedding.cpython-38.pyc +0 -0
  13. train/tencentpretrain/embeddings/__pycache__/pos_embedding.cpython-38.pyc +0 -0
  14. train/tencentpretrain/embeddings/__pycache__/seg_embedding.cpython-38.pyc +0 -0
  15. train/tencentpretrain/embeddings/__pycache__/sinusoidalpos_embedding.cpython-38.pyc +0 -0
  16. train/tencentpretrain/embeddings/__pycache__/speech_embedding.cpython-38.pyc +0 -0
  17. train/tencentpretrain/embeddings/__pycache__/word_embedding.cpython-38.pyc +0 -0
  18. train/tencentpretrain/embeddings/__pycache__/word_patch_embedding.cpython-38.pyc +0 -0
  19. train/tencentpretrain/encoders/__pycache__/__init__.cpython-38.pyc +0 -0
  20. train/tencentpretrain/encoders/__pycache__/cnn_encoder.cpython-38.pyc +0 -0
  21. train/tencentpretrain/encoders/__pycache__/dual_encoder.cpython-38.pyc +0 -0
  22. train/tencentpretrain/encoders/__pycache__/rnn_encoder.cpython-38.pyc +0 -0
  23. train/tencentpretrain/encoders/__pycache__/transformer_encoder.cpython-38.pyc +0 -0
  24. train/tencentpretrain/layers/__pycache__/__init__.cpython-38.pyc +0 -0
  25. train/tencentpretrain/layers/__pycache__/layer_norm.cpython-38.pyc +0 -0
  26. train/tencentpretrain/layers/__pycache__/multi_headed_attn.cpython-38.pyc +0 -0
  27. train/tencentpretrain/layers/__pycache__/position_ffn.cpython-38.pyc +0 -0
  28. train/tencentpretrain/layers/__pycache__/relative_position_embedding.cpython-38.pyc +0 -0
  29. train/tencentpretrain/layers/__pycache__/transformer.cpython-38.pyc +0 -0
  30. train/tencentpretrain/targets/__pycache__/__init__.cpython-38.pyc +0 -0
  31. train/tencentpretrain/targets/__pycache__/bilm_target.cpython-38.pyc +0 -0
  32. train/tencentpretrain/targets/__pycache__/clr_target.cpython-38.pyc +0 -0
  33. train/tencentpretrain/targets/__pycache__/cls_target.cpython-38.pyc +0 -0
  34. train/tencentpretrain/targets/__pycache__/lm_target.cpython-38.pyc +0 -0
  35. train/tencentpretrain/targets/__pycache__/mlm_target.cpython-38.pyc +0 -0
  36. train/tencentpretrain/targets/__pycache__/sp_target.cpython-38.pyc +0 -0
  37. train/tencentpretrain/targets/__pycache__/target.cpython-38.pyc +0 -0
  38. train/tencentpretrain/utils/__pycache__/__init__.cpython-38.pyc +0 -0
  39. train/tencentpretrain/utils/__pycache__/act_fun.cpython-38.pyc +0 -0
  40. train/tencentpretrain/utils/__pycache__/adversarial.cpython-38.pyc +0 -0
  41. train/tencentpretrain/utils/__pycache__/augment.cpython-38.pyc +0 -0
  42. train/tencentpretrain/utils/__pycache__/config.cpython-38.pyc +0 -0
  43. train/tencentpretrain/utils/__pycache__/constants.cpython-38.pyc +0 -0
  44. train/tencentpretrain/utils/__pycache__/dataloader.cpython-38.pyc +0 -0
  45. train/tencentpretrain/utils/__pycache__/dataset.cpython-38.pyc +0 -0
  46. train/tencentpretrain/utils/__pycache__/mask.cpython-38.pyc +0 -0
  47. train/tencentpretrain/utils/__pycache__/misc.cpython-38.pyc +0 -0
  48. train/tencentpretrain/utils/__pycache__/optimizers.cpython-38.pyc +0 -0
  49. train/tencentpretrain/utils/__pycache__/rope.cpython-38.pyc +0 -0
  50. train/tencentpretrain/utils/__pycache__/seed.cpython-38.pyc +0 -0
app.py CHANGED
@@ -394,7 +394,7 @@ with block:
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  gr.Markdown("### Params to synthesize images")
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  object_prompt = gr.Textbox(label="Context Prompt", placeholder="in suit", visible=True)
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- num_samples = gr.Slider(label="Batch Size", minimum=1, maximum=36, value=1, step=1)
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  ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
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  seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
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  images_button = gr.Button(value="Synthesize images using ControlNet", visible=False)
@@ -420,5 +420,6 @@ with block:
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  ips = [gen_type, num_samples, ddim_steps, object_prompt, seed, text_container, sequence_container]
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  images_button.click(fn=generate_images, inputs=ips, outputs=[result_gallery, raw_sequence, text_container, sequence_container])
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  block.launch()
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  gr.Markdown("### Params to synthesize images")
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  object_prompt = gr.Textbox(label="Context Prompt", placeholder="in suit", visible=True)
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+ num_samples = gr.Slider(label="Batch Size", minimum=1, maximum=2, value=1, step=1)
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  ddim_steps = gr.Slider(label="Steps", minimum=1, maximum=100, value=20, step=1)
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  seed = gr.Slider(label="Seed", minimum=-1, maximum=2147483647, step=1, randomize=True)
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  images_button = gr.Button(value="Synthesize images using ControlNet", visible=False)
 
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  ips = [gen_type, num_samples, ddim_steps, object_prompt, seed, text_container, sequence_container]
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  images_button.click(fn=generate_images, inputs=ips, outputs=[result_gallery, raw_sequence, text_container, sequence_container])
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+ block.queue(concurrency_count=1)
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  block.launch()
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