Update app.py

app.py

@@ -44,7 +44,8 @@ feature_extractor = SiglipImageProcessor.from_pretrained("lllyasviel/flux_redux_
 image_encoder = SiglipVisionModel.from_pretrained("lllyasviel/flux_redux_bfl", subfolder='image_encoder', torch_dtype=torch.float16).cpu()
 
 # quant_config = DiffusersBitsAndBytesConfig(load_in_8bit=True)
-transformer = HunyuanVideoTransformer3DModelPacked.from_pretrained('sirolim/FramePack_F1_I2V_FP8', "FramePack_F1_I2V_HY_fp8_e4m3fn.safetensors", use_safetensors=True, torch_dtype=torch.bfloat16).cpu()
+transformer = HunyuanVideoTransformer3DModelPacked.from_single_file("https://huggingface.co/sirolim/FramePack_F1_I2V_FP8/resolve/main/FramePack_F1_I2V_HY_fp8_e4m3fn.safetensors", torch_dtype=torch.bfloat16)
+# transformer = HunyuanVideoTransformer3DModelPacked.from_single_file('sirolim/FramePack_F1_I2V_FP8', "FramePack_F1_I2V_HY_fp8_e4m3fn.safetensors", use_safetensors=True, torch_dtype=torch.bfloat16).cpu()
 # transformer = HunyuanVideoTransformer3DModelPacked.from_pretrained('sirolim/FramePack_F1_I2V_FP8', torch_dtype=torch.bfloat16).cpu()
 
 vae.eval()
@@ -429,11 +430,8 @@ quick_prompts = [[x] for x in quick_prompts]
 css = make_progress_bar_css()
 block = gr.Blocks(css=css).queue()
 with block:
-    gr.Markdown('# FramePack-F1')
-    gr.Markdown(f"""### Video diffusion, but feels like image diffusion
-*FramePack F1 - a FramePack model that only predicts future frames from history frames*
-### *beta* FramePack Fill 🖋️- draw a mask over the input image to inpaint the video output
-adapted from the officical code repo [FramePack](https://github.com/lllyasviel/FramePack) by [lllyasviel](lllyasviel/FramePack_F1_I2V_HY_20250503) and [FramePack Studio](https://github.com/colinurbs/FramePack-Studio) 🙌🏻
+    gr.Markdown('# FramePack Essentials | Experimentation in Progress')
+    gr.Markdown(f"""### Space is constantly being tinkered with, expect downtime and errors.
     """)
     with gr.Row():
         with gr.Column():