Upload app.py
Browse files
app.py
CHANGED
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@@ -2,7 +2,6 @@ import os
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import uuid
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import time
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import random
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-
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import spaces
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import gradio as gr
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import numpy as np
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@@ -22,7 +21,6 @@ pipe = StableDiffusionXLPipeline.from_pretrained(
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to(device)
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-
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pipe.text_encoder.to(torch.float16)
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pipe.text_encoder_2.to(torch.float16)
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pipe.vae.to(torch.float16)
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@@ -38,20 +36,17 @@ compel = Compel(
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1216
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-
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OUTPUT_DIR = "/tmp/generated_images"
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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-
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def save_image_jpg(pil_image: Image.Image) -> str:
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if pil_image.mode != "RGB":
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pil_image = pil_image.convert("RGB")
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path = os.path.join(OUTPUT_DIR, f"{uuid.uuid4().hex}.jpg")
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pil_image.save(path, "JPEG", quality=95)
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-
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-
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@spaces.GPU(duration=
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def infer(
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prompt,
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negative_prompt,
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@@ -64,20 +59,15 @@ def infer(
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):
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if not prompt.strip():
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raise gr.Error("Prompt cannot be empty.")
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-
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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-
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generator = torch.Generator(device=device).manual_seed(seed)
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-
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try:
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conditioning, pooled = compel([prompt, negative_prompt])
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-
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prompt_embeds = conditioning[0:1]
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pooled_prompt_embeds = pooled[0:1]
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negative_prompt_embeds = conditioning[1:2]
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negative_pooled_prompt_embeds = pooled[1:2]
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-
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image = pipe(
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prompt_embeds=prompt_embeds,
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pooled_prompt_embeds=pooled_prompt_embeds,
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@@ -89,16 +79,13 @@ def infer(
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height=height,
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generator=generator,
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).images[0]
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image_path = save_image_jpg(image)
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return image_path, seed
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except RuntimeError as e:
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print(f"Error during generation: {e}")
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blank_image = Image.new("RGB", (width, height), color=(0, 0, 0))
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blank_path = save_image_jpg(blank_image)
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return blank_path, seed
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-
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def generation_loop(
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prompt,
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@@ -113,7 +100,6 @@ def generation_loop(
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):
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if not prompt.strip():
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raise gr.Error("Prompt cannot be empty to start consecutive generation.")
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-
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while True:
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try:
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image_path, new_seed = infer(
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@@ -126,42 +112,40 @@ def generation_loop(
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guidance_scale,
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num_inference_steps,
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)
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-
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yield {result: image_path, seed: new_seed}
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time.sleep(interval_sec)
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except gr.exceptions.CancelledError:
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print("Generation loop cancelled by user.")
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break
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-
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css = """
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#col-container {
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-
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}
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/* 完全透過(非表示だがクリック等は可能なまま) */
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.transparent-btn,
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.transparent-btn * {
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-
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}
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.transparent-btn button {
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-
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}
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.transparent-btn button:focus,
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.transparent-btn button:focus-visible {
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-
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}
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("
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# Prompt(右にGenerateは置かない)
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with gr.Row(equal_height=True):
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prompt = gr.Text(
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@@ -183,7 +167,7 @@ with gr.Blocks(css=css) as demo:
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run_button = gr.Button("Generate", scale=0, interactive=False, elem_classes=["transparent-btn"])
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consecutive_button = gr.Button("Consecutive", scale=0, interactive=False, elem_classes=["transparent-btn"])
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gr.Markdown("
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# 停止/クリア
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with gr.Row():
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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-
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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-
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with gr.Row():
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guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=20.0, step=0.1, value=8)
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num_inference_steps = gr.Slider(label="Number of inference steps", minimum=1, maximum=28, step=1, value=25)
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-
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interval_seconds = gr.Slider(label="Interval (seconds)", minimum=1, maximum=60, step=1, value=1)
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gr.Markdown("
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gr.Examples(
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examples=[
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@@ -233,95 +214,96 @@ with gr.Blocks(css=css) as demo:
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label="Examples (Click to copy to prompt)",
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)
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function() {
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-
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}
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""",
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)
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# 生成
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run_button.click(
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fn=infer,
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inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
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outputs=[result, seed],
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)
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# 連続生成
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gen_inputs = [
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prompt,
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negative_prompt,
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seed,
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randomize_seed,
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width,
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height,
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guidance_scale,
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num_inference_steps,
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interval_seconds,
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]
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consecutive_event = consecutive_button.click(
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fn=generation_loop,
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inputs=gen_inputs,
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outputs=[result, seed],
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)
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# 停止
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stop_button.click(
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fn=None,
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inputs=None,
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outputs=None,
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cancels=[consecutive_event],
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)
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# resultが更新されたら、表示中のimg.src(= /file=...)を拾って表示
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result.change(
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fn=None,
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inputs=None,
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outputs=[image_url],
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js=r"""
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() => {
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const img = document.querySelector("#result_image img");
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if (!img || !img.src) return "";
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return new URL(img.src, window.location.href).href;
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}
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""",
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async (url) => {
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}
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""",
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demo.queue().launch()
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import uuid
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import time
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import random
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import spaces
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import gradio as gr
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import numpy as np
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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pipe.to(device)
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pipe.text_encoder.to(torch.float16)
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pipe.text_encoder_2.to(torch.float16)
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pipe.vae.to(torch.float16)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 1216
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OUTPUT_DIR = "/tmp/generated_images"
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os.makedirs(OUTPUT_DIR, exist_ok=True)
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def save_image_jpg(pil_image: Image.Image) -> str:
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if pil_image.mode != "RGB":
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pil_image = pil_image.convert("RGB")
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path = os.path.join(OUTPUT_DIR, f"{uuid.uuid4().hex}.jpg")
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pil_image.save(path, "JPEG", quality=95)
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return path
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@spaces.GPU(duration=15)
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def infer(
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prompt,
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negative_prompt,
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):
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if not prompt.strip():
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raise gr.Error("Prompt cannot be empty.")
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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generator = torch.Generator(device=device).manual_seed(seed)
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try:
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conditioning, pooled = compel([prompt, negative_prompt])
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prompt_embeds = conditioning[0:1]
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pooled_prompt_embeds = pooled[0:1]
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negative_prompt_embeds = conditioning[1:2]
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negative_pooled_prompt_embeds = pooled[1:2]
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image = pipe(
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prompt_embeds=prompt_embeds,
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pooled_prompt_embeds=pooled_prompt_embeds,
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height=height,
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generator=generator,
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).images[0]
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image_path = save_image_jpg(image)
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return f"/file={image_path}", seed # ← 変更: /file= プレフィックスを付けてURLとして返す
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except RuntimeError as e:
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print(f"Error during generation: {e}")
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blank_image = Image.new("RGB", (width, height), color=(0, 0, 0))
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blank_path = save_image_jpg(blank_image)
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return f"/file={blank_path}", seed # ← 変更: 同上
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def generation_loop(
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prompt,
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):
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if not prompt.strip():
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raise gr.Error("Prompt cannot be empty to start consecutive generation.")
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while True:
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try:
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image_path, new_seed = infer(
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guidance_scale,
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num_inference_steps,
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)
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yield {image_url: image_path, seed: new_seed} # ← 変更: result → image_url
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time.sleep(interval_sec)
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except gr.exceptions.CancelledError:
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print("Generation loop cancelled by user.")
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break
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css = """
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#col-container {
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margin: 0 auto;
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max-width: 1024px;
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}
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/* 完全透過(非表示だがクリック等は可能なまま) */
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.transparent-btn,
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.transparent-btn * {
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opacity: 0 !important;
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}
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.transparent-btn button {
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background: transparent !important;
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border: 0 !important;
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box-shadow: none !important;
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}
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.transparent-btn button:focus,
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.transparent-btn button:focus-visible {
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outline: none !important;
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}
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"""
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("" * 1)
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# Prompt(右にGenerateは置かない)
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with gr.Row(equal_height=True):
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prompt = gr.Text(
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run_button = gr.Button("Generate", scale=0, interactive=False, elem_classes=["transparent-btn"])
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consecutive_button = gr.Button("Consecutive", scale=0, interactive=False, elem_classes=["transparent-btn"])
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gr.Markdown("" * 20)
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# 停止/クリア
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with gr.Row():
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row():
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width = gr.Slider(label="Width", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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height = gr.Slider(label="Height", minimum=256, maximum=MAX_IMAGE_SIZE, step=32, value=1024)
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with gr.Row():
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guidance_scale = gr.Slider(label="Guidance scale", minimum=0.0, maximum=20.0, step=0.1, value=8)
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num_inference_steps = gr.Slider(label="Number of inference steps", minimum=1, maximum=28, step=1, value=25)
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interval_seconds = gr.Slider(label="Interval (seconds)", minimum=1, maximum=60, step=1, value=1)
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gr.Markdown("" * 20)
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gr.Examples(
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examples=[
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label="Examples (Click to copy to prompt)",
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)
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# Promptが空でなければボタンを押せるようにする
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prompt.input(
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fn=None,
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inputs=[prompt],
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outputs=[run_button, consecutive_button],
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js="(p) => { const interactive = p.trim().length > 0; return [{ interactive: interactive, '__type__': 'update' }, { interactive: interactive, '__type__': 'update' }]; }",
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)
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# クリア:promptを空にしてボタン無効、URL欄も空にする
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clear_button.click(
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fn=None,
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inputs=None,
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outputs=[prompt, run_button, consecutive_button, image_url],
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js="""
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function() {
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return [
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"",
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{ "interactive": false, "__type__": "update" },
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{ "interactive": false, "__type__": "update" },
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""
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];
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| 238 |
}
|
| 239 |
""",
|
| 240 |
+
)
|
| 241 |
+
|
| 242 |
+
# 生成
|
| 243 |
+
run_button.click(
|
| 244 |
+
fn=infer,
|
| 245 |
+
inputs=[prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps],
|
| 246 |
+
outputs=[image_url, seed], # ← 変更: result → image_url
|
| 247 |
+
)
|
| 248 |
+
|
| 249 |
+
# 連続生成
|
| 250 |
+
gen_inputs = [
|
| 251 |
+
prompt,
|
| 252 |
+
negative_prompt,
|
| 253 |
+
seed,
|
| 254 |
+
randomize_seed,
|
| 255 |
+
width,
|
| 256 |
+
height,
|
| 257 |
+
guidance_scale,
|
| 258 |
+
num_inference_steps,
|
| 259 |
+
interval_seconds,
|
| 260 |
+
]
|
| 261 |
+
|
| 262 |
+
consecutive_event = consecutive_button.click(
|
| 263 |
+
fn=generation_loop,
|
| 264 |
+
inputs=gen_inputs,
|
| 265 |
+
outputs=[image_url, seed], # ← 変更: result → image_url
|
| 266 |
+
)
|
| 267 |
+
|
| 268 |
+
# 停止
|
| 269 |
+
stop_button.click(
|
| 270 |
+
fn=None,
|
| 271 |
+
inputs=None,
|
| 272 |
+
outputs=None,
|
| 273 |
+
cancels=[consecutive_event],
|
| 274 |
+
)
|
| 275 |
+
|
| 276 |
+
# result.change は不要になったためコメントアウト
|
| 277 |
+
# result.change(
|
| 278 |
+
# fn=None,
|
| 279 |
+
# inputs=None,
|
| 280 |
+
# outputs=[image_url],
|
| 281 |
+
# js=r"""
|
| 282 |
+
# () => {
|
| 283 |
+
# const img = document.querySelector("#result_image img");
|
| 284 |
+
# if (!img || !img.src) return "";
|
| 285 |
+
# return new URL(img.src, window.location.href).href;
|
| 286 |
+
# }
|
| 287 |
+
# """,
|
| 288 |
+
# )
|
| 289 |
+
|
| 290 |
+
# Copyボタン:URL文字列をコピー(相対パスは絶対URLに変換)
|
| 291 |
+
copy_button.click(
|
| 292 |
+
fn=None,
|
| 293 |
+
inputs=[image_url],
|
| 294 |
+
outputs=None,
|
| 295 |
+
js=r"""
|
| 296 |
async (url) => {
|
| 297 |
+
if (!url) return;
|
| 298 |
+
try {
|
| 299 |
+
const fullUrl = url.startsWith('/') ? window.location.origin + url : url;
|
| 300 |
+
await navigator.clipboard.writeText(fullUrl);
|
| 301 |
+
console.log("URL copied");
|
| 302 |
+
} catch (e) {
|
| 303 |
+
console.error("Copy failed", e);
|
| 304 |
+
}
|
| 305 |
}
|
| 306 |
""",
|
| 307 |
+
)
|
| 308 |
|
| 309 |
demo.queue().launch()
|