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link from the dashboard so we get higher quotas
Browse files- modules/app.py +28 -9
modules/app.py
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@@ -2,11 +2,12 @@ import spaces
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import os
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import torch
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import gradio as gr
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from fastapi import FastAPI
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from huggingface_hub import login
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from diffusers import StableDiffusion3Pipeline, DDPMScheduler
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from dotenv import load_dotenv
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import uvicorn
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login(token=os.getenv("HF_TOKEN"))
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@@ -20,19 +21,37 @@ pipeline.to("cuda")
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@app.get("/")
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def index():
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@spaces.GPU
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def
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=num_inference_steps,
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height=height,
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width=width,
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guidance_scale=guidance_scale
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play = gr.Interface(
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fn=generate,
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@@ -45,7 +64,7 @@ play = gr.Interface(
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gr.Number(label="Width", value=1024),
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gr.Slider(label="Guidance Scale", value=7, minimum=1, maximum=15, step=1)
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],
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outputs=gr.Gallery(),
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)
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stickers = gr.Interface(
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@@ -59,7 +78,7 @@ stickers = gr.Interface(
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gr.Number(label="Width", value=1024),
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gr.Slider(label="Guidance Scale", value=7, minimum=1, maximum=15, step=1)
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],
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outputs=gr.Gallery(),
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)
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app = gr.mount_gradio_app(app, play, path="/gradio")
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import os
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import torch
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import gradio as gr
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from fastapi import FastAPI, Response
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from huggingface_hub import login
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from diffusers import StableDiffusion3Pipeline, DDPMScheduler
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from dotenv import load_dotenv
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import uvicorn
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import time
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login(token=os.getenv("HF_TOKEN"))
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@app.get("/")
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def index():
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content = """
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<html>
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<body>
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<a href="https://takamarou-stickerparty.hf.space/stickers/">Playground</a>
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<br />
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<a href="https://takamarou-stickerparty.hf.space/stickers/">Stickers</a>
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</body>
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</html>
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"""
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return Response(content=content, media_type="text/html")
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@spaces.GPU(duration=30)
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def sd_on_gpu(prompt, negative_prompt, num_inference_steps, height, width, guidance_scale):
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start_time = time.time()
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response = pipeline(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=num_inference_steps,
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height=height,
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width=width,
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guidance_scale=guidance_scale
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)
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run_time = time.time() - start_time
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return response, run_time
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def generate(label, prompt, negative_prompt, num_inference_steps, height, width, guidance_scale):
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print('start generate', prompt, negative_prompt, num_inference_steps, height, width, guidance_scale)
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start_time = time.time()
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generation, gen_time = sd_on_gpu(prompt, negative_prompt, num_inference_steps, height, width, guidance_scale)
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run_time = time.time() - start_time
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return generation.images, run_time, gen_time
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play = gr.Interface(
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fn=generate,
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gr.Number(label="Width", value=1024),
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gr.Slider(label="Guidance Scale", value=7, minimum=1, maximum=15, step=1)
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],
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outputs=[gr.Gallery(), gr.Number(label="Total Generation Time"), gr.Number(label="GPU Time")],
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)
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stickers = gr.Interface(
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gr.Number(label="Width", value=1024),
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gr.Slider(label="Guidance Scale", value=7, minimum=1, maximum=15, step=1)
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],
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outputs=[gr.Gallery(), gr.Number(label="Total Generation Time"), gr.Number(label="GPU Time")],
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)
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app = gr.mount_gradio_app(app, play, path="/gradio")
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