Spaces:
Running
on
Zero
Running
on
Zero
resolution options
Browse files
app.py
CHANGED
@@ -72,9 +72,9 @@ class Ours:
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"kandinsky-community/kandinsky-2-2-decoder", torch_dtype=torch.float16
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).to(device)
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-
def inference(self, text, negative_text, steps, guidance_scale):
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gen_images = []
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for i in range(
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image_emb, negative_image_emb = self.pipe_prior(
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text, negative_prompt=negative_text
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).to_tuple()
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@@ -83,6 +83,8 @@ class Ours:
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negative_image_embeds=negative_image_emb,
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num_inference_steps=steps,
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guidance_scale=guidance_scale,
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).images
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gen_images.append(image[0])
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return gen_images
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@@ -91,8 +93,11 @@ class Ours:
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selected_model = Ours(device=__DEVICE__)
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@spaces.GPU
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def get_images(text, negative_text, steps, guidance_scale):
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-
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new_images = []
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for img in images:
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new_images.append(img)
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@@ -134,12 +139,37 @@ with gr.Blocks() as demo:
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label="Guidance Scale", minimum=0, maximum=10, value=7.5, step=0.1
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)
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with gr.Row():
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btn = gr.Button(value="Generate Image")
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gallery = gr.Gallery(
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label="Generated images", show_label=False, elem_id="gallery"
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, columns=[
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btn.click(
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get_images,
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@@ -148,6 +178,9 @@ with gr.Blocks() as demo:
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negative_text,
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steps,
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guidance_scale,
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],
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outputs=gallery,
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)
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@@ -158,6 +191,9 @@ with gr.Blocks() as demo:
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negative_text,
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steps,
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guidance_scale,
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],
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outputs=gallery,
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)
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@@ -168,6 +204,9 @@ with gr.Blocks() as demo:
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negative_text,
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steps,
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guidance_scale,
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],
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outputs=gallery,
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)
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"kandinsky-community/kandinsky-2-2-decoder", torch_dtype=torch.float16
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).to(device)
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+
def inference(self, text, negative_text, steps, guidance_scale, width, height):
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gen_images = []
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for i in range(2):
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image_emb, negative_image_emb = self.pipe_prior(
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text, negative_prompt=negative_text
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).to_tuple()
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negative_image_embeds=negative_image_emb,
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num_inference_steps=steps,
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guidance_scale=guidance_scale,
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width=width,
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height=height,
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).images
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gen_images.append(image[0])
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return gen_images
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selected_model = Ours(device=__DEVICE__)
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@spaces.GPU
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def get_images(text, negative_text, steps, guidance_scale, width, height, fixed_res):
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if fixed_res!="manual":
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print(f"Using {fixed_res} resolution")
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width, height = fixed_res.split("x")
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images = selected_model.inference(text, negative_text, steps, guidance_scale, width=int(width), height=int(height))
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new_images = []
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for img in images:
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new_images.append(img)
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label="Guidance Scale", minimum=0, maximum=10, value=7.5, step=0.1
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)
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with gr.Row():
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with gr.Group():
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width_inp = gr.Textbox(
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label="Please provide the width",
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value="512",
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max_lines=1,
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).style(
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border=(True, False, True, True),
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rounded=(True, False, False, True),
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container=False,
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)
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height_inp = gr.Textbox(
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label="Please provide the height",
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max_lines=1,
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value="512",
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).style(
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border=(True, False, True, True),
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rounded=(True, False, False, True),
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container=False,
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)
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fixed_res = gr.Dropdown(
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["manual", "512x512", "1024x1024", "1920x1080", "1280x720"], value="manual", label="Prefined Resolution", info="Either select one or manually define one!"
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)
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with gr.Row():
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btn = gr.Button(value="Generate Image")
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gallery = gr.Gallery(
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label="Generated images", show_label=False, elem_id="gallery"
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, columns=[2], rows=[1], object_fit="contain", height="auto")
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btn.click(
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get_images,
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negative_text,
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steps,
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guidance_scale,
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width_inp,
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height_inp,
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fixed_res[0],
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],
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outputs=gallery,
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)
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negative_text,
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steps,
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guidance_scale,
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width_inp,
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height_inp,
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fixed_res[0],
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],
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outputs=gallery,
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)
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negative_text,
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steps,
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guidance_scale,
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width_inp,
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height_inp,
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fixed_res[0],
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],
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outputs=gallery,
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)
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