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Update app_df.py
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app_df.py
CHANGED
@@ -12,7 +12,7 @@ from skyreels_v2_infer.modules import download_model
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from skyreels_v2_infer.pipelines import PromptEnhancer, resizecrop
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is_shared_ui = True if "fffiloni/SkyReels-V2" in os.environ['SPACE_ID'] else False
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is_shared_ui = False
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def generate_diffusion_forced_video(
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prompt,
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@@ -195,9 +195,9 @@ with gr.Blocks() as demo:
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fps = gr.Slider(minimum=1, maximum=60, value=24, step=1, label="FPS")
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seed = gr.Number(label="Seed (optional)", precision=0)
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prompt_enhancer = gr.Checkbox(label="Prompt Enhancer")
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use_teacache = gr.Checkbox(label="Use TeaCache")
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teacache_thresh = gr.Slider(minimum=0.0, maximum=1.0, value=0.
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use_ret_steps = gr.Checkbox(label="Use Retention Steps")
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submit_btn = gr.Button("Generate")
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@@ -221,13 +221,17 @@ with gr.Blocks() as demo:
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overlap_history = 0
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addnoise_condition = 0
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ar_step = 0
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causal_block_size = 1
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use_teacache =
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teacache_thresh = 0.
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use_ret_steps =
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if target_l == "4":
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n_frames = 97
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elif target_l == "10":
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n_frames = 257
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overlap_history = 17
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@@ -249,6 +253,7 @@ with gr.Blocks() as demo:
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use_teacache = True
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teacache_thresh = 0.3
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use_ret_steps = True
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ar_step = 5
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causal_block_size = 5
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elif target_l == "60":
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@@ -258,16 +263,17 @@ with gr.Blocks() as demo:
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use_teacache = True
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teacache_thresh = 0.3
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use_ret_steps = True
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ar_step = 5
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causal_block_size = 5
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return n_frames, overlap_history, addnoise_condition, ar_step, causal_block_size, use_teacache, teacache_thresh, use_ret_steps
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target_length.change(
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fn = set_num_frames,
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inputs = [target_length],
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outputs = [num_frames, overlap_history, addnoise_condition, ar_step, causal_block_size, use_teacache, teacache_thresh, use_ret_steps],
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queue = False
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)
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from skyreels_v2_infer.pipelines import PromptEnhancer, resizecrop
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is_shared_ui = True if "fffiloni/SkyReels-V2" in os.environ['SPACE_ID'] else False
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#is_shared_ui = False
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def generate_diffusion_forced_video(
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prompt,
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fps = gr.Slider(minimum=1, maximum=60, value=24, step=1, label="FPS")
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seed = gr.Number(label="Seed (optional)", precision=0)
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prompt_enhancer = gr.Checkbox(label="Prompt Enhancer")
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use_teacache = gr.Checkbox(label="Use TeaCache", value=True)
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teacache_thresh = gr.Slider(minimum=0.0, maximum=1.0, value=0.2, step=0.01, label="TeaCache Threshold")
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use_ret_steps = gr.Checkbox(label="Use Retention Steps", value=True)
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submit_btn = gr.Button("Generate")
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overlap_history = 0
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addnoise_condition = 0
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ar_step = 0
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causal_attention = False
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causal_block_size = 1
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use_teacache = True
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teacache_thresh = 0.2
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use_ret_steps = True
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if target_l == "4":
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n_frames = 97
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use_teacache = True
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teacache_thresh = 0.2
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use_ret_steps = True
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elif target_l == "10":
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n_frames = 257
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overlap_history = 17
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use_teacache = True
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teacache_thresh = 0.3
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use_ret_steps = True
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causal_attention = True
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ar_step = 5
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causal_block_size = 5
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elif target_l == "60":
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use_teacache = True
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teacache_thresh = 0.3
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use_ret_steps = True
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causal_attention = True
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ar_step = 5
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causal_block_size = 5
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return n_frames, overlap_history, addnoise_condition, ar_step, causal_attention, causal_block_size, use_teacache, teacache_thresh, use_ret_steps
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target_length.change(
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fn = set_num_frames,
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inputs = [target_length],
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outputs = [num_frames, overlap_history, addnoise_condition, ar_step, causal_attention, causal_block_size, use_teacache, teacache_thresh, use_ret_steps],
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queue = False
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)
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