Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
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@@ -27,7 +27,7 @@ logging.basicConfig(
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logger = logging.getLogger(__name__)
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# ----------------------------------------------------------------------
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-
# Translation
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# ----------------------------------------------------------------------
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@spaces.GPU
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def translate_albanian_to_english(text: str, language: str = "en"):
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@@ -53,12 +53,12 @@ def translate_albanian_to_english(text: str, language: str = "en"):
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raise gr.Error("Translation failed. Please try again.")
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# ----------------------------------------------------------------------
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-
# Model loading
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# ----------------------------------------------------------------------
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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#
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scheduler_cfg = {
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"base_image_seq_len": 256,
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"base_shift": math.log(3),
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@@ -77,21 +77,21 @@ scheduler_cfg = {
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}
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scheduler = FlowMatchEulerDiscreteScheduler.from_config(scheduler_cfg)
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# Load
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pipe = QwenImageEditPlusPipeline.from_pretrained(
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"Qwen/Qwen-Image-Edit-2509",
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scheduler=scheduler,
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torch_dtype=dtype,
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).to(device)
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# Load
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pipe.load_lora_weights(
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"lightx2v/Qwen-Image-Lightning",
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weight_name="Qwen-Image-Lightning-4steps-V2.0.safetensors",
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)
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pipe.fuse_lora()
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# Replace transformer class
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pipe.transformer.__class__ = QwenImageTransformer2DModel
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pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())
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@@ -106,7 +106,7 @@ MAX_SEED = np.iinfo(np.int32).max
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QUALITY_PROMPT = ", high quality, detailed, vibrant, professional lighting"
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# ----------------------------------------------------------------------
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# Inference
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# ----------------------------------------------------------------------
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@spaces.GPU(duration=40)
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def infer(image, prompt):
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@@ -117,10 +117,10 @@ def infer(image, prompt):
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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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# Translate
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prompt_en = translate_albanian_to_english(prompt.strip(), language="en") + QUALITY_PROMPT
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# Load
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pil_img = None
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if image is not None:
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if isinstance(image, Image.Image):
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@@ -130,7 +130,7 @@ def infer(image, prompt):
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elif hasattr(image, "name"):
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pil_img = Image.open(image.name).convert("RGB")
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# Run
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output = pipe(
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image=[pil_img] if pil_img is not None else None,
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prompt=prompt_en,
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@@ -146,13 +146,13 @@ def infer(image, prompt):
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return output[0] if output else None
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# ----------------------------------------------------------------------
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# Gradio UI
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# ----------------------------------------------------------------------
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def create_demo():
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with gr.Blocks(css="", title="Qwen Image Editor") as demo:
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#
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# Custom HTML + CSS
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#
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gr.HTML(
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"""
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<style>
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@@ -161,38 +161,240 @@ def create_demo():
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@keyframes glow-hover {0%{box-shadow:0 0 20px rgba(0,255,128,0.7);}50%{box-shadow:0 0 20px rgba(0,255,128,0.9);}100%{box-shadow:0 0 20px rgba(0,255,128,0.7);}}
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@keyframes slide {0%{background-position:0% 50%;}50%{background-position:100% 50%;}100%{background-position:0% 50%;}}
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@keyframes pulse {0%,100%{opacity:0.7;}50%{opacity:1;}}
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body{
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@media (max-width:768px){
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h1{font-size:4rem;}
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#subtitle{font-size
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.gr-button-primary{
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}
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</style>
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<script>
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// --------------------------------------------------------------
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// Enforce
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// --------------------------------------------------------------
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const allowedPath = /^\\/spaceishere(\\/.*)?$/;
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if (!allowedPath.test(window.location.pathname)) {
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}
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// --------------------------------------------------------------
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// UI behaviour:
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// --------------------------------------------------------------
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document.addEventListener('DOMContentLoaded', () => {
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const generateBtn = document.querySelector('.gr-button-primary');
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"""
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)
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#
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# Layout
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#
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with gr.Row(elem_id="general_items"):
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gr.Markdown("# Image Edit")
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gr.Markdown("Edit your images with prompt descriptions", elem_id="subtitle")
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elem_classes=["gradio-component", "image-container"],
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)
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#
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# Event bindings
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#
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run_button.click(fn=infer, inputs=[input_image, prompt], outputs=[result_image])
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prompt.submit(fn=infer, inputs=[input_image, prompt], outputs=[result_image])
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return demo
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# ----------------------------------------------------------------------
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# FastAPI
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# ----------------------------------------------------------------------
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app = FastAPI()
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demo = create_demo()
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@@ -292,8 +494,9 @@ async def catch_all(path: str):
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raise HTTPException(status_code=500, detail="Internal Server Error")
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# ----------------------------------------------------------------------
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# Entry point
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# ----------------------------------------------------------------------
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if __name__ == "__main__":
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logger.info(f"Gradio version: {gr.__version__}")
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demo.queue().launch(share=True)
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logger = logging.getLogger(__name__)
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# ----------------------------------------------------------------------
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# Translation (GPU‑accelerated)
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# ----------------------------------------------------------------------
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@spaces.GPU
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def translate_albanian_to_english(text: str, language: str = "en"):
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raise gr.Error("Translation failed. Please try again.")
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# ----------------------------------------------------------------------
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# Model loading & preparation
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# ----------------------------------------------------------------------
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dtype = torch.bfloat16
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Lightning‑optimized scheduler configuration
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scheduler_cfg = {
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"base_image_seq_len": 256,
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"base_shift": math.log(3),
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}
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scheduler = FlowMatchEulerDiscreteScheduler.from_config(scheduler_cfg)
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# Load Qwen‑Image‑Edit pipeline
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pipe = QwenImageEditPlusPipeline.from_pretrained(
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"Qwen/Qwen-Image-Edit-2509",
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scheduler=scheduler,
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torch_dtype=dtype,
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).to(device)
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# Load + fuse Lightning LoRA
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pipe.load_lora_weights(
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"lightx2v/Qwen-Image-Lightning",
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weight_name="Qwen-Image-Lightning-4steps-V2.0.safetensors",
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)
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pipe.fuse_lora()
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+
# Replace transformer class & set custom attention processor
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pipe.transformer.__class__ = QwenImageTransformer2DModel
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pipe.transformer.set_attn_processor(QwenDoubleStreamAttnProcessorFA3())
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QUALITY_PROMPT = ", high quality, detailed, vibrant, professional lighting"
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# ----------------------------------------------------------------------
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+
# Inference (GPU‑accelerated, duration hint for Spaces)
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# ----------------------------------------------------------------------
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@spaces.GPU(duration=40)
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def infer(image, prompt):
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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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# Translate prompt + quality suffix
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prompt_en = translate_albanian_to_english(prompt.strip(), language="en") + QUALITY_PROMPT
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# Load input image as PIL.Image (if any)
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pil_img = None
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if image is not None:
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if isinstance(image, Image.Image):
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elif hasattr(image, "name"):
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pil_img = Image.open(image.name).convert("RGB")
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# Run pipeline
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output = pipe(
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image=[pil_img] if pil_img is not None else None,
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prompt=prompt_en,
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return output[0] if output else None
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# ----------------------------------------------------------------------
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# Gradio UI
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# ----------------------------------------------------------------------
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def create_demo():
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with gr.Blocks(css="", title="Qwen Image Editor") as demo:
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# --------------------------------------------------------------
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# Custom HTML + full CSS (including top gap) + JS
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# --------------------------------------------------------------
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gr.HTML(
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"""
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<style>
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@keyframes glow-hover {0%{box-shadow:0 0 20px rgba(0,255,128,0.7);}50%{box-shadow:0 0 20px rgba(0,255,128,0.9);}100%{box-shadow:0 0 20px rgba(0,255,128,0.7);}}
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@keyframes slide {0%{background-position:0% 50%;}50%{background-position:100% 50%;}100%{background-position:0% 50%;}}
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@keyframes pulse {0%,100%{opacity:0.7;}50%{opacity:1;}}
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body{
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background:#000000 !important;
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color:#FFFFFF !important;
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font-family:'Orbitron',sans-serif;
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min-height:100vh;
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margin:0 !important;
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padding:0 !important;
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width:100% !important;
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max-width:100vw !important;
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overflow-x:hidden !important;
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display:flex !important;
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justify-content:center;
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align-items:center;
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flex-direction:column;
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}
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body::before{
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content:"";
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display:block;
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height:600px;
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background:#000000 !important;
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}
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.gr-blocks,.container{
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width:100% !important;
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max-width:100vw !important;
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margin:0 !important;
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padding:0 !important;
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box-sizing:border-box !important;
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overflow-x:hidden !important;
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background:#000000 !important;
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color:#FFFFFF !important;
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}
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#general_items{
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width:100% !important;
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max-width:100vw !important;
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margin:2rem 0 !important;
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display:flex !important;
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flex-direction:column;
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align-items:center;
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justify-content:center;
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background:#000000 !important;
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color:#FFFFFF !important;
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}
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#input_column{
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background:#000000 !important;
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border:none !important;
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border-radius:8px;
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padding:1rem !important;
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box-shadow:0 0 10px rgba(255,255,255,0.3) !important;
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width:100% !important;
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max-width:100vw !important;
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box-sizing:border-box !important;
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color:#FFFFFF !important;
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}
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h1{
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font-size:5rem;
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font-weight:700;
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text-align:center;
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color:#FFFFFF !important;
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text-shadow:0 0 8px rgba(255,255,255,0.3) !important;
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margin:0 auto .5rem;
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display:block;
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max-width:100%;
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}
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#subtitle{
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font-size:1rem;
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text-align:center;
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color:#FFFFFF !important;
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opacity:0.8;
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margin-bottom:1rem;
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display:block;
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max-width:100%;
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}
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.gradio-component{
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background:#000000 !important;
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border:none;
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margin:0.75rem 0;
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width:100% !important;
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max-width:100vw !important;
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color:#FFFFFF !important;
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}
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.image-container{
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aspect-ratio:1/1;
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width:100% !important;
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max-width:100vw !important;
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min-height:500px;
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height:auto;
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border:0.5px solid #FFFFFF !important;
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| 251 |
+
border-radius:4px;
|
| 252 |
+
box-sizing:border-box !important;
|
| 253 |
+
background:#000000 !important;
|
| 254 |
+
box-shadow:0 0 10px rgba(255,255,255,0.3) !important;
|
| 255 |
+
position:relative;
|
| 256 |
+
color:#FFFFFF !important;
|
| 257 |
+
}
|
| 258 |
+
.image-container img{
|
| 259 |
+
width:100% !important;
|
| 260 |
+
height:auto;
|
| 261 |
+
box-sizing:border-box !important;
|
| 262 |
+
display:block !important;
|
| 263 |
+
}
|
| 264 |
+
/* Hide upload / toolbar elements */
|
| 265 |
+
.image-container[aria-label="Input Image"] .file-upload,
|
| 266 |
+
.image-container[aria-label="Input Image"] .file-preview,
|
| 267 |
+
.image-container[aria-label="Input Image"] .image-actions,
|
| 268 |
+
.image-container[aria-label="Input Image"] .gr-file-upload,
|
| 269 |
+
.image-container[aria-label="Input Image"] .gr-file,
|
| 270 |
+
.image-container[aria-label="Input Image"] .gr-actions,
|
| 271 |
+
.image-container[aria-label="Input Image"] .gr-upload-button,
|
| 272 |
+
.image-container[aria-label="Input Image"] .gr-image-toolbar,
|
| 273 |
+
.image-container[aria-label="Input Image"] .gr-file-actions,
|
| 274 |
+
.image-container[aria-label="Input Image"] .gr-upload-options,
|
| 275 |
+
div[aria-label="Input Image"] > div > div:not(.image-container),
|
| 276 |
+
div[aria-label="Input Image"] .gr-button,
|
| 277 |
+
.image-container[aria-label="Result Image"] .file-upload,
|
| 278 |
+
.image-container[aria-label="Result Image"] .file-preview,
|
| 279 |
+
.image-container[aria-label="Result Image"] .image-actions,
|
| 280 |
+
.image-container[aria-label="Result Image"] .gr-file-upload,
|
| 281 |
+
.image-container[aria-label="Result Image"] .gr-file,
|
| 282 |
+
.image-container[aria-label="Result Image"] .gr-actions,
|
| 283 |
+
.image-container[aria-label="Result Image"] .gr-upload-button,
|
| 284 |
+
.image-container[aria-label="Result Image"] .gr-image-toolbar,
|
| 285 |
+
.image-container[aria-label="Result Image"] .gr-file-actions,
|
| 286 |
+
.image-container[aria-label="Result Image"] .gr-upload-options,
|
| 287 |
+
div[aria-label="Result Image"] > div > div:not(.image-container),
|
| 288 |
+
div[aria-label="Result Image"] .gr-button{
|
| 289 |
+
display:none !important;
|
| 290 |
+
}
|
| 291 |
+
/* Processing overlay for Result Image */
|
| 292 |
+
.image-container[aria-label="Result Image"].processing{
|
| 293 |
+
background:#000000 !important;
|
| 294 |
+
position:relative !important;
|
| 295 |
+
}
|
| 296 |
+
.image-container[aria-label="Result Image"].processing::before{
|
| 297 |
+
content:"PROCESSING...";
|
| 298 |
+
position:absolute !important;
|
| 299 |
+
top:50% !important;
|
| 300 |
+
left:50% !important;
|
| 301 |
+
transform:translate(-50%,-50%) !important;
|
| 302 |
+
color:#FFFFFF !important;
|
| 303 |
+
font-family:'Orbitron',sans-serif !important;
|
| 304 |
+
font-size:1.8rem !important;
|
| 305 |
+
font-weight:700 !important;
|
| 306 |
+
text-align:center !important;
|
| 307 |
+
text-shadow:0 0 10px rgba(0,255,128,0.8) !important;
|
| 308 |
+
animation:pulse 1.5s ease-in-out infinite,glow 2s ease-in-out infinite !important;
|
| 309 |
+
z-index:9999 !important;
|
| 310 |
+
width:100% !important;
|
| 311 |
+
height:100% !important;
|
| 312 |
+
display:flex !important;
|
| 313 |
+
align-items:center !important;
|
| 314 |
+
justify-content:center !important;
|
| 315 |
+
pointer-events:none !important;
|
| 316 |
+
background:#000000 !important;
|
| 317 |
+
border-radius:4px !important;
|
| 318 |
+
box-sizing:border-box !important;
|
| 319 |
+
}
|
| 320 |
+
.image-container[aria-label="Result Image"].processing *{
|
| 321 |
+
display:none !important;
|
| 322 |
+
}
|
| 323 |
+
.image-container[aria-label="Result Image"].processing img{
|
| 324 |
+
display:none !important;
|
| 325 |
+
}
|
| 326 |
+
input,textarea{
|
| 327 |
+
background:#000000 !important;
|
| 328 |
+
color:#FFFFFF !important;
|
| 329 |
+
border:1px solid #FFFFFF !important;
|
| 330 |
+
border-radius:4px;
|
| 331 |
+
padding:0.5rem;
|
| 332 |
+
width:100% !important;
|
| 333 |
+
max-width:100vw !important;
|
| 334 |
+
box-sizing:border-box !important;
|
| 335 |
+
}
|
| 336 |
+
input:hover,textarea:hover{
|
| 337 |
+
box-shadow:0 0 8px rgba(255,255,255,0.3) !important;
|
| 338 |
+
transition:box-shadow 0.3s;
|
| 339 |
+
}
|
| 340 |
+
.gr-button-primary{
|
| 341 |
+
background:linear-gradient(90deg,rgba(0,255,128,0.3),rgba(0,200,100,0.3),rgba(0,255,128,0.3)) !important;
|
| 342 |
+
background-size:200% 100%;
|
| 343 |
+
animation:slide 4s ease-in-out infinite,glow 3s ease-in-out infinite;
|
| 344 |
+
color:#FFFFFF !important;
|
| 345 |
+
border:1px solid #FFFFFF !important;
|
| 346 |
+
border-radius:6px;
|
| 347 |
+
padding:0.75rem 1.5rem;
|
| 348 |
+
font-size:1.1rem;
|
| 349 |
+
font-weight:600;
|
| 350 |
+
box-shadow:0 0 14px rgba(0,255,128,0.7) !important;
|
| 351 |
+
transition:box-shadow 0.3s,transform 0.3s;
|
| 352 |
+
width:100% !important;
|
| 353 |
+
max-width:100vw !important;
|
| 354 |
+
min-height:48px;
|
| 355 |
+
cursor:pointer;
|
| 356 |
+
}
|
| 357 |
+
.gr-button-primary:hover{
|
| 358 |
+
box-shadow:0 0 20px rgba(0,255,128,0.9) !important;
|
| 359 |
+
animation:slide 4s ease-in-out infinite,glow-hover 3s ease-in-out infinite;
|
| 360 |
+
transform:scale(1.05);
|
| 361 |
+
}
|
| 362 |
+
button[aria-label="Fullscreen"],button[aria-label="Share"],button[aria-label="Download"]{
|
| 363 |
+
display:none !important;
|
| 364 |
+
}
|
| 365 |
+
.progress-text,.gr-progress,.gr-prose,.gr-log{
|
| 366 |
+
display:none !important;
|
| 367 |
+
}
|
| 368 |
+
footer,.gr-button-secondary{
|
| 369 |
+
display:none !important;
|
| 370 |
+
}
|
| 371 |
+
.gr-group{
|
| 372 |
+
background:#000000 !important;
|
| 373 |
+
border:none !important;
|
| 374 |
+
width:100% !important;
|
| 375 |
+
max-width:100vw !important;
|
| 376 |
+
}
|
| 377 |
@media (max-width:768px){
|
| 378 |
h1{font-size:4rem;}
|
| 379 |
+
#subtitle{font-size:0.9rem;}
|
| 380 |
+
.gr-button-primary{
|
| 381 |
+
padding:0.6rem 1rem;
|
| 382 |
+
font-size:1rem;
|
| 383 |
+
box-shadow:0 0 10px rgba(0,255,128,0.7) !important;
|
| 384 |
+
animation:slide 4s ease-in-out infinite,glow 3s ease-in-out infinite;
|
| 385 |
+
}
|
| 386 |
+
.image-container{
|
| 387 |
+
min-height:300px;
|
| 388 |
+
box-shadow:0 0 8px rgba(255,255,255,0.3) !important;
|
| 389 |
+
}
|
| 390 |
+
.image-container[aria-label="Result Image"].processing::before{
|
| 391 |
+
font-size:1.2rem !important;
|
| 392 |
+
}
|
| 393 |
}
|
| 394 |
</style>
|
| 395 |
<script>
|
| 396 |
// --------------------------------------------------------------
|
| 397 |
+
// Enforce loading only under /spaceishere (or any sub‑path)
|
| 398 |
// --------------------------------------------------------------
|
| 399 |
const allowedPath = /^\\/spaceishere(\\/.*)?$/;
|
| 400 |
if (!allowedPath.test(window.location.pathname)) {
|
|
|
|
| 403 |
}
|
| 404 |
|
| 405 |
// --------------------------------------------------------------
|
| 406 |
+
// UI behaviour: processing overlay & hide progress elements
|
| 407 |
// --------------------------------------------------------------
|
| 408 |
document.addEventListener('DOMContentLoaded', () => {
|
| 409 |
const generateBtn = document.querySelector('.gr-button-primary');
|
|
|
|
| 439 |
"""
|
| 440 |
)
|
| 441 |
|
| 442 |
+
# --------------------------------------------------------------
|
| 443 |
# Layout
|
| 444 |
+
# --------------------------------------------------------------
|
| 445 |
with gr.Row(elem_id="general_items"):
|
| 446 |
gr.Markdown("# Image Edit")
|
| 447 |
gr.Markdown("Edit your images with prompt descriptions", elem_id="subtitle")
|
|
|
|
| 474 |
elem_classes=["gradio-component", "image-container"],
|
| 475 |
)
|
| 476 |
|
| 477 |
+
# --------------------------------------------------------------
|
| 478 |
# Event bindings
|
| 479 |
+
# --------------------------------------------------------------
|
| 480 |
run_button.click(fn=infer, inputs=[input_image, prompt], outputs=[result_image])
|
| 481 |
prompt.submit(fn=infer, inputs=[input_image, prompt], outputs=[result_image])
|
| 482 |
|
| 483 |
return demo
|
| 484 |
|
| 485 |
# ----------------------------------------------------------------------
|
| 486 |
+
# FastAPI app with strict routing (only /spaceishere allowed)
|
| 487 |
# ----------------------------------------------------------------------
|
| 488 |
app = FastAPI()
|
| 489 |
demo = create_demo()
|
|
|
|
| 494 |
raise HTTPException(status_code=500, detail="Internal Server Error")
|
| 495 |
|
| 496 |
# ----------------------------------------------------------------------
|
| 497 |
+
# Entry point
|
| 498 |
# ----------------------------------------------------------------------
|
| 499 |
if __name__ == "__main__":
|
| 500 |
logger.info(f"Gradio version: {gr.__version__}")
|
| 501 |
demo.queue().launch(share=True)
|
| 502 |
+
```$
|