Delete C

C

@@ -1,108 +0,0 @@
-import gradio as gr
-from PIL import Image  
-import torch
-from muse import PipelineMuse
-from diffusers import AutoPipelineForText2Image, UniPCMultistepScheduler
-
-muse_512 = PipelineMuse.from_pretrained("openMUSE/muse-512").to("cuda", dtype=torch.float16)
-muse_512.transformer.enable_xformers_memory_efficient_attention()
-
-muse_512_fine = PipelineMuse.from_pretrained("openMUSE/muse-512-finetuned").to("cuda", dtype=torch.float16)
-muse_512_fine.transformer.enable_xformers_memory_efficient_attention()
-
-
-sdv1_5 = AutoPipelineForText2Image.from_pretrained("runwayml/stable-diffusion-v1-5", variant="fp16").to("cuda", dtype=torch.float16)
-sdv1_5.scheduler = UniPCMultistepScheduler.from_config(sdv1_5.scheduler.config)
-sdv1_5.enable_xformers_memory_efficient_attention()
-
-def infer(prompt, negative):
-    print("Generating:")
-
-    muse_512_image = muse_512(
-        prompt, timesteps=16, guidance_scale=10, transformer_seq_len=1024, use_fp16=True, temperature=(2, 0), 
-    )[0]
-
-    muse_512_fine_image = muse_512_fine(
-        prompt, timesteps=16, guidance_scale=10, transformer_seq_len=1024, use_fp16=True, temperature=(2, 0), 
-    )[0]
-
-    sdv1_5_image = sdv1_5(prompt, num_inference_steps=25).images[0]
-
-    images = [muse_512_image, muse_512_fine_image, sdv1_5_image]
-
-    return images
-
-
-examples = [
-    [
-        'A high tech solarpunk utopia in the Amazon rainforest',
-        'low quality',
-        10,
-    ],
-    [
-        'A pikachu fine dining with a view to the Eiffel Tower',
-        'low quality',
-        10,
-    ],
-    [
-        'A mecha robot in a favela in expressionist style',
-        'low quality, 3d, photorealistic',
-        10,
-    ],
-    [
-        'an insect robot preparing a delicious meal',
-        'low quality, illustration',
-        10,
-    ],
-    [
-        "A small cabin on top of a snowy mountain in the style of Disney, artstation",
-        'low quality, ugly',
-        10,
-    ],
-]
-    
-    
-css = """
-h1 {
-  text-align: center;
-}
-
-#component-0 {
-  max-width: 730px;
-  margin: auto;
-}
-"""
-
-block = gr.Blocks(css=css)
-
-with block:
-    gr.Markdown("MUSE is an upcoming fast text2image model.")
-    with gr.Group():
-        with gr.Row(elem_id="prompt-container").style(mobile_collapse=False, equal_height=True):
-            with gr.Column():
-                text = gr.Textbox(
-                    label="Enter your prompt",
-                    show_label=False,
-                    max_lines=1,
-                    placeholder="Enter your prompt",
-                    container=False,
-                )
-            btn = gr.Button("Generate image", scale=0)
-
-        gallery = gr.Gallery(
-            label="Generated images", show_label=False,
-        ).style()
-
-    with gr.Accordion("Advanced settings", open=False):
-        guidance_scale = gr.Slider(
-            label="Guidance Scale", minimum=0, maximum=20, value=10, step=0.1
-        )
-
-    ex = gr.Examples(examples=examples, fn=infer, inputs=[text, negative, guidance_scale], outputs=gallery, cache_examples=False)
-    ex.dataset.headers = [""]
-
-    text.submit(infer, inputs=[text, negative, guidance_scale], outputs=gallery)
-    negative.submit(infer, inputs=[text, negative, guidance_scale], outputs=gallery)
-    btn.click(infer, inputs=[text, negative, guidance_scale], outputs=gallery)
-
-block.launch()