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https://github.com/Sygil-Dev/sygil-webui.git
synced 2024-12-16 07:41:38 +03:00
Added option to set the FPS on the txt2vid tab.
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5604001979
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725b1c5346
@ -220,6 +220,7 @@ txt2vid:
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beta_scheduler_type: "scaled_linear"
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max_duration_in_seconds: 30
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fps: 30
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LDSR_config:
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sampling_steps: 50
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@ -189,10 +189,10 @@ def make_video_pyav(
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write_video(
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output_filepath,
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frames,
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fps=fps,
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audio_array=audio_tensor,
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audio_fps=sr,
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frames,
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fps=fps,
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audio_array=audio_tensor,
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audio_fps=sr,
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audio_codec="aac",
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options={"crf": "10", "pix_fmt": "yuv420p"},
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)
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@ -777,22 +777,22 @@ class StableDiffusionWalkPipeline(DiffusionPipeline):
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prompt_config_path.write_text(
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json.dumps(
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dict(
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prompts=prompts,
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seeds=seeds,
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num_interpolation_steps=num_interpolation_steps,
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fps=fps,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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eta=eta,
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upsample=upsample,
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height=height,
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width=width,
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audio_filepath=audio_filepath,
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audio_start_sec=audio_start_sec,
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),
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indent=2,
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sort_keys=False,
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prompts=prompts,
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seeds=seeds,
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num_interpolation_steps=num_interpolation_steps,
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fps=fps,
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num_inference_steps=num_inference_steps,
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guidance_scale=guidance_scale,
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eta=eta,
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upsample=upsample,
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height=height,
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width=width,
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audio_filepath=audio_filepath,
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audio_start_sec=audio_start_sec,
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),
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indent=2,
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sort_keys=False,
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)
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)
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else:
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@ -1637,6 +1637,9 @@ def layout():
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st.session_state["max_duration_in_seconds"] = st.number_input("Max Duration In Seconds:", value=st.session_state['defaults'].txt2vid.max_duration_in_seconds,
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help="Specify the max duration in seconds you want your video to be.")
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st.session_state["fps"] = st.number_input("Frames per Second (FPS):", value=st.session_state['defaults'].txt2vid.fps,
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help="Specify the frame rate of the video.")
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with st.expander("Preview Settings"):
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#st.session_state["update_preview"] = st.checkbox("Update Image Preview", value=st.session_state['defaults'].txt2vid.update_preview,
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@ -1903,16 +1906,16 @@ def layout():
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# run video generation
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video, seed, info, stats = txt2vid(prompts=prompt, gpu=st.session_state["defaults"].general.gpu,
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num_steps=st.session_state.sampling_steps, max_duration_in_seconds=st.session_state.max_duration_in_seconds,
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num_inference_steps=st.session_state.num_inference_steps,
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cfg_scale=cfg_scale, save_video_on_stop=save_video_on_stop,
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outdir=st.session_state["defaults"].general.outdir,
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do_loop=st.session_state["do_loop"],
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use_lerp_for_text=st.session_state["use_lerp_for_text"],
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seeds=seed, quality=100, eta=0.0, width=width,
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height=height, weights_path=custom_model, scheduler=scheduler_name,
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disable_tqdm=False, beta_start=st.session_state['defaults'].txt2vid.beta_start.value,
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beta_end=st.session_state['defaults'].txt2vid.beta_end.value,
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beta_schedule=beta_scheduler_type, starting_image=None)
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num_inference_steps=st.session_state.num_inference_steps,
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cfg_scale=cfg_scale, save_video_on_stop=save_video_on_stop,
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outdir=st.session_state["defaults"].general.outdir,
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do_loop=st.session_state["do_loop"],
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use_lerp_for_text=st.session_state["use_lerp_for_text"],
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seeds=seed, quality=100, eta=0.0, width=width,
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height=height, weights_path=custom_model, scheduler=scheduler_name,
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disable_tqdm=False, beta_start=st.session_state['defaults'].txt2vid.beta_start.value,
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beta_end=st.session_state['defaults'].txt2vid.beta_end.value,
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beta_schedule=beta_scheduler_type, starting_image=None, fps=st.session_state.fps)
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if video and save_video_on_stop:
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if os.path.exists(video): # temporary solution to bypass exception
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