Spaces:
Running
on
Zero
Running
on
Zero
quickfix
Browse files
app.py
CHANGED
@@ -96,7 +96,7 @@ def edit(
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elif model_id == LDM2_LARGE:
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ldm_stable = ldm2_large
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else: # MUSIC
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-
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ldm_stable.model.scheduler.set_timesteps(steps, device=device)
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@@ -113,7 +113,7 @@ def edit(
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# do_inversion = True
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# Too much time has passed
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if wts is None or zs is None:
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-
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if do_inversion or randomize_seed: # always re-run inversion
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zs_tensor, wts_tensor = invert(ldm_stable=ldm_stable, x0=x0, prompt_src=source_prompt,
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@@ -131,10 +131,10 @@ def edit(
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saved_inv_model = model_id
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do_inversion = False
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else:
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-
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-
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-
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-
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wts_tensor = wts.to(device)
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zs_tensor = zs.to(device)
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@@ -224,7 +224,7 @@ change <code style="display:inline; background-color: lightgrey; ">duration = mi
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"""
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-
with gr.Blocks(css='style.css') as demo:
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def reset_do_inversion(do_inversion_user, do_inversion):
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# do_inversion = gr.State(value=True)
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do_inversion = True
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@@ -235,13 +235,13 @@ with gr.Blocks(css='style.css') as demo: #, delete_cache=(3600, 3600)) as demo:
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def clear_do_inversion_user(do_inversion_user):
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do_inversion_user = False
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return do_inversion_user
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-
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def post_match_do_inversion(do_inversion_user, do_inversion):
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if do_inversion_user:
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do_inversion = True
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do_inversion_user = False
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return do_inversion_user, do_inversion
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-
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gr.HTML(intro)
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wts = gr.State()
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zs = gr.State()
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@@ -329,7 +329,7 @@ with gr.Blocks(css='style.css') as demo: #, delete_cache=(3600, 3600)) as demo:
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saved_inv_model, do_inversion] # , current_loaded_model, ldm_stable],
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).then(post_match_do_inversion, inputs=[do_inversion_user, do_inversion], outputs=[do_inversion_user, do_inversion]
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).then(lambda x: (demo.temp_file_sets.append(set([str(gr.utils.abspath(x))])) if type(x) is str else None),
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-
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# demo.move_resource_to_block_cache(wtszs.value)
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elif model_id == LDM2_LARGE:
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ldm_stable = ldm2_large
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else: # MUSIC
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+
ldm_stable = ldm2_music
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ldm_stable.model.scheduler.set_timesteps(steps, device=device)
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# do_inversion = True
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# Too much time has passed
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if wts is None or zs is None:
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+
do_inversion = True
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if do_inversion or randomize_seed: # always re-run inversion
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zs_tensor, wts_tensor = invert(ldm_stable=ldm_stable, x0=x0, prompt_src=source_prompt,
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saved_inv_model = model_id
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do_inversion = False
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else:
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+
# wtszs = torch.load(wtszs_file, map_location=device)
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+
# # wtszs = torch.load(wtszs_file.f, map_location=device)
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# wts_tensor = wtszs['wts']
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# zs_tensor = wtszs['zs']
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wts_tensor = wts.to(device)
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zs_tensor = zs.to(device)
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"""
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+
with gr.Blocks(css='style.css') as demo: #, delete_cache=(3600, 3600)) as demo:
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def reset_do_inversion(do_inversion_user, do_inversion):
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# do_inversion = gr.State(value=True)
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do_inversion = True
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def clear_do_inversion_user(do_inversion_user):
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do_inversion_user = False
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return do_inversion_user
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+
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def post_match_do_inversion(do_inversion_user, do_inversion):
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if do_inversion_user:
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do_inversion = True
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do_inversion_user = False
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return do_inversion_user, do_inversion
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+
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gr.HTML(intro)
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wts = gr.State()
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zs = gr.State()
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saved_inv_model, do_inversion] # , current_loaded_model, ldm_stable],
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).then(post_match_do_inversion, inputs=[do_inversion_user, do_inversion], outputs=[do_inversion_user, do_inversion]
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).then(lambda x: (demo.temp_file_sets.append(set([str(gr.utils.abspath(x))])) if type(x) is str else None),
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inputs=wtszs)
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# demo.move_resource_to_block_cache(wtszs.value)
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