lambda

app.py

@@ -170,6 +170,7 @@ from PIL import Image
 with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
     gr.Markdown("# Value Sign Flip SD3.5 Demo \n\n This demo is based on SD3.5-L-Turbo model and uses Value Sign Flip technique to generate videos with different guidance scales and biases. More on [GitHub](https://github.com/weathon/VSF/blob/main/wan.md)\n\nPositive prompt should be at least 1 sentence long or the results will be weird. ")
     gr.Markdown("To help with further research, all generations will be logged anonymously. If you do not wish to participate, please do not use the demo. Please keep prompts safe for work and non-offensive. ") 
+    gr.Markdown("This project is supported by [Lambda Cloud](https://lambda.ai/), [Weathon Software](https://weasoft.com), and [Canada Foundation for Innovation](https://www.innovation.ca/). ")
     
     # gr.Markdown("# Value Sign Flip Wan 2.1 Demo \n\n This demo is based on Wan 2.1 T2V model and uses Value Sign Flip technique to generate videos with different guidance scales and biases. More on [GitHub](https://github.com/weathon/VSF/blob/main/wan.md)\n\nPositive prompt should be at least 2 sentence long or the results will be weird.")
 
@@ -185,6 +186,8 @@ with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
         anti_aesthetic_sample.click(fn=load_anti_aesthetics_sample, inputs=[], outputs=[pos, neg])
         abstract_sample = gr.Button("Load An Abstract Prompt")
         abstract_sample.click(fn=load_abstract_prompt, inputs=[], outputs=[pos, neg])
+
+
     with gr.Row():
         gr.Markdown("## VSF Generation Parameters")
         guidance = gr.Slider(0, 5, step=0.1, label="Guidance Scale", value=3.0)
@@ -216,4 +219,6 @@ with gr.Blocks(title="Value Sign Flip SD3.5 Demo") as demo:
     btn = gr.Button("Generate")
     btn.click(fn=generate_video, inputs=[pos, neg, guidance, bias, step, seed, nag_guidance, nag_alpha, nag_tau, nag_step], outputs=[vsf_out, nag_out])
 
+
+
 demo.launch(share=True)