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063e7c6
1
Parent(s):
2aacbba
Speed and UI updates
Browse files
app.py
CHANGED
@@ -1,17 +1,21 @@
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from diffusers import StableDiffusionXLPipeline
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from diffusers.pipelines.stable_diffusion_xl import StableDiffusionXLPipelineOutput
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from typing import Any, Callable, Dict, List, Optional, Tuple, Union
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import torch
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from PIL import Image, ImageOps
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import gradio as gr
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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torch_dtype=torch.float16,
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)
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pipe.to("cuda")
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@torch.no_grad()
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def call(
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@@ -320,13 +324,10 @@ with gr.Blocks(css=css) as app:
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'''
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<center>
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<h1>Upside Down Diffusion</h1>
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<p>Code by Alex Carlier, please follow them on <a href="https://twitter.com/alexcarliera">Twitter</a></p>
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<p>A space by <a href="https://twitter.com/angrypenguinPNG">AP</a> with contributions from <a href="https://twitter.com/multimodalart">MultimodalArt</a></p>
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</center>
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<hr>
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<p>
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π <strong>Create Perception Illusions with Stable Diffusion!</strong> π
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</p>
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<p>
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Enter your first prompt to craft an image that will show when upright. Then, add a second prompt to reveal a mesmerizing surprise when you flip the image upside down! β¨
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</p>
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@@ -339,8 +340,8 @@ with gr.Blocks(css=css) as app:
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has_flipped = gr.State(value=False)
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with gr.Row():
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with gr.Column():
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prompt1 = gr.Textbox(label="Prompt 1")
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prompt2 = gr.Textbox(label="Prompt 2")
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run_btn = gr.Button("Run")
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with gr.Column():
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from diffusers import StableDiffusionXLPipeline
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from diffusers.pipelines.stable_diffusion_xl import StableDiffusionXLPipelineOutput, AutoencoderKL
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from typing import Any, Callable, Dict, List, Optional, Tuple, Union
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import torch
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from PIL import Image, ImageOps
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import gradio as gr
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vae = AutoencoderKL.from_pretrained("madebyollin/sdxl-vae-fp16-fix", torch_dtype=torch.float16)
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pipe = StableDiffusionXLPipeline.from_pretrained(
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"stabilityai/stable-diffusion-xl-base-1.0",
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vae=vae,
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torch_dtype=torch.float16,
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variant="fp16",
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use_safetensors=True,
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)
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pipe.to("cuda")
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pipe.unet.to(memory_format=torch.channels_last)
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pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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@torch.no_grad()
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def call(
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'''
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<center>
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<h1>Upside Down Diffusion</h1>
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<p>Code by Alex Carlier, find their <a href="https://colab.research.google.com/drive/1rjDQOn11cTHAf3Oeq87Hfl_Vh41NbTl4?usp=sharing">Google Colab</a> here and please follow them on <a href="https://twitter.com/alexcarliera">Twitter</a></p>
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<p>A space by <a href="https://twitter.com/angrypenguinPNG">AP</a> with contributions from <a href="https://twitter.com/multimodalart">MultimodalArt</a></p>
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</center>
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<hr>
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<p>
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Enter your first prompt to craft an image that will show when upright. Then, add a second prompt to reveal a mesmerizing surprise when you flip the image upside down! β¨
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</p>
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has_flipped = gr.State(value=False)
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with gr.Row():
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with gr.Column():
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prompt1 = gr.Textbox(label="Prompt 1", info="Prompt for the side up", placeholder="A sketch of a...")
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prompt2 = gr.Textbox(label="Prompt 2", info="Prompt for the side down", placeholder="A sketch of a...")
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run_btn = gr.Button("Run")
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with gr.Column():
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