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Merge pull request #953 from ZeroCool940711/dev
Fixed an issue with the txt2vid model.
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commit
93b6021d38
@ -1677,16 +1677,15 @@ def txt2vid(
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os.makedirs(full_path, exist_ok=True)
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# init all of the models and move them to a given GPU
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lms = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear")
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#lms = LMSDiscreteScheduler(beta_start=0.00085, beta_end=0.012, beta_schedule="scaled_linear")
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try:
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if not st.session_state["pipe"]:
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st.session_state["pipe"] = StableDiffusionPipeline.from_pretrained(
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weights_path,
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use_local_file=True,
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scheduler=lms,
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scheduler=sampler_name,
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use_auth_token=True,
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torch_dtype=torch.float16,
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revision="fp16"
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)
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@ -1700,9 +1699,8 @@ def txt2vid(
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st.session_state["pipe"] = StableDiffusionPipeline.from_pretrained(
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weights_path,
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use_local_file=True,
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scheduler=lms,
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scheduler=sampler_name,
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use_auth_token=True,
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torch_dtype=torch.float16,
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revision="fp16"
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)
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@ -1828,7 +1826,8 @@ def layout():
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txt2img_tab, img2img_tab, txt2vid_tab, postprocessing_tab = st.tabs(["Text-to-Image Unified", "Image-to-Image Unified", "Text-to-Video","Post-Processing"])
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txt2img_tab, img2img_tab, txt2vid_tab, postprocessing_tab, model_manager_tab = st.tabs(["Text-to-Image Unified", "Image-to-Image Unified",
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"Text-to-Video","Post-Processing", "Model Manager"])
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with txt2img_tab:
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with st.form("txt2img-inputs"):
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@ -2249,6 +2248,9 @@ def layout():
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# use the current col2 first tab to show the preview_img and update it as its generated.
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#preview_image.image(output_images)
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with model_manager_tab:
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st.write("Model Manager")
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