| import gradio as gr |
| import numpy as np |
| import random |
| import torch |
| import spaces |
|
|
| from PIL import Image |
| from diffusers import FlowMatchEulerDiscreteScheduler, QwenImageEditPlusPipeline |
|
|
| import math |
|
|
| |
| dtype = torch.bfloat16 |
| device = "cuda" if torch.cuda.is_available() else "cpu" |
|
|
| |
| scheduler_config = { |
| "base_image_seq_len": 256, |
| "base_shift": math.log(5), |
| "invert_sigmas": False, |
| "max_image_seq_len": 8192, |
| "max_shift": math.log(3), |
| "num_train_timesteps": 1000, |
| "shift": 1.0, |
| "shift_terminal": None, |
| "stochastic_sampling": False, |
| "time_shift_type": "exponential", |
| "use_beta_sigmas": False, |
| "use_dynamic_shifting": True, |
| "use_exponential_sigmas": False, |
| "use_karras_sigmas": False, |
| } |
|
|
| |
| scheduler = FlowMatchEulerDiscreteScheduler.from_config(scheduler_config) |
|
|
| |
| pipe = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", |
| scheduler=scheduler, |
| torch_dtype=dtype).to(device) |
| pipe.load_lora_weights( |
| "lightx2v/Qwen-Image-Edit-2511-Lightning", |
| weight_name="Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors" |
| ) |
| pipe.fuse_lora() |
|
|
| |
| MAX_SEED = np.iinfo(np.int32).max |
|
|
| def use_output_as_input(output_images): |
| """Convert output images to input format for the gallery""" |
| if output_images is None or len(output_images) == 0: |
| return [] |
| return output_images |
|
|
| |
| @spaces.GPU() |
| def infer( |
| image_1, |
| image_2, |
| image_3, |
| prompt, |
| seed=42, |
| randomize_seed=False, |
| true_guidance_scale=1.0, |
| num_inference_steps=4, |
| height=None, |
| width=None, |
| num_images_per_prompt=1, |
| progress=gr.Progress(track_tqdm=True), |
| ): |
| """ |
| Run image-editing inference using the Qwen-Image-Edit pipeline. |
| """ |
| |
| |
| negative_prompt = " " |
| |
| if randomize_seed: |
| seed = random.randint(0, MAX_SEED) |
|
|
| |
| generator = torch.Generator(device=device).manual_seed(seed) |
| |
| |
| pil_images = [] |
| for item in [image_1, image_2, image_3]: |
| if item is None: continue |
| pil_images.append(item.convert("RGB")) |
|
|
| if height==256 and width==256: |
| height, width = None, None |
| print(f"Calling pipeline with prompt: '{prompt}'") |
| print(f"Negative Prompt: '{negative_prompt}'") |
| print(f"Seed: {seed}, Steps: {num_inference_steps}, Guidance: {true_guidance_scale}, Size: {width}x{height}") |
| |
|
|
| |
| images = pipe( |
| image=pil_images if len(pil_images) > 0 else None, |
| prompt=prompt, |
| height=height, |
| width=width, |
| negative_prompt=negative_prompt, |
| num_inference_steps=num_inference_steps, |
| generator=generator, |
| true_cfg_scale=true_guidance_scale, |
| num_images_per_prompt=num_images_per_prompt, |
| ).images |
|
|
| |
| return images[0], seed, gr.update(visible=True) |
|
|
|
|
| |
| |
| |
|
|
| css = """ |
| /* ===== π¨ Google Fonts Import ===== */ |
| @import url('https://fonts.googleapis.com/css2?family=Bangers&family=Comic+Neue:wght@400;700&display=swap'); |
| |
| /* ===== π¨ Comic Classic λ°°κ²½ - λΉν°μ§ νμ΄νΌ + λνΈ ν¨ν΄ ===== */ |
| .gradio-container { |
| background-color: #FEF9C3 !important; |
| background-image: |
| radial-gradient(#1F2937 1px, transparent 1px) !important; |
| background-size: 20px 20px !important; |
| min-height: 100vh !important; |
| font-family: 'Comic Neue', cursive, sans-serif !important; |
| } |
| |
| /* ===== νκΉ
νμ΄μ€ μλ¨ μμ μ¨κΉ ===== */ |
| .huggingface-space-header, |
| #space-header, |
| .space-header, |
| [class*="space-header"], |
| .svelte-1ed2p3z, |
| .space-header-badge, |
| .header-badge, |
| [data-testid="space-header"], |
| .svelte-kqij2n, |
| .svelte-1ax1toq, |
| .embed-container > div:first-child { |
| display: none !important; |
| visibility: hidden !important; |
| height: 0 !important; |
| width: 0 !important; |
| overflow: hidden !important; |
| opacity: 0 !important; |
| pointer-events: none !important; |
| } |
| |
| /* ===== Footer μμ μ¨κΉ ===== */ |
| footer, |
| .footer, |
| .gradio-container footer, |
| .built-with, |
| [class*="footer"], |
| .gradio-footer, |
| .main-footer, |
| div[class*="footer"], |
| .show-api, |
| .built-with-gradio, |
| a[href*="gradio.app"], |
| a[href*="huggingface.co/spaces"] { |
| display: none !important; |
| visibility: hidden !important; |
| height: 0 !important; |
| padding: 0 !important; |
| margin: 0 !important; |
| } |
| |
| /* ===== λ©μΈ 컨ν
μ΄λ ===== */ |
| #col-container { |
| max-width: 1100px; |
| margin: 0 auto; |
| } |
| |
| /* ===== π¨ ν€λ νμ΄ν - μ½λ―Ή μ€νμΌ ===== */ |
| .header-text h1 { |
| font-family: 'Bangers', cursive !important; |
| color: #1F2937 !important; |
| font-size: 3.5rem !important; |
| font-weight: 400 !important; |
| text-align: center !important; |
| margin-bottom: 0.5rem !important; |
| text-shadow: |
| 4px 4px 0px #FACC15, |
| 6px 6px 0px #1F2937 !important; |
| letter-spacing: 3px !important; |
| -webkit-text-stroke: 2px #1F2937 !important; |
| } |
| |
| /* ===== π¨ μλΈνμ΄ν ===== */ |
| .subtitle { |
| text-align: center !important; |
| font-family: 'Comic Neue', cursive !important; |
| font-size: 1.2rem !important; |
| color: #1F2937 !important; |
| margin-bottom: 1.5rem !important; |
| font-weight: 700 !important; |
| } |
| |
| /* ===== π¨ μΉ΄λ/ν¨λ - λ§ν νλ μ μ€νμΌ ===== */ |
| .gr-panel, |
| .gr-box, |
| .gr-form, |
| .block, |
| .gr-group { |
| background: #FFFFFF !important; |
| border: 3px solid #1F2937 !important; |
| border-radius: 8px !important; |
| box-shadow: 6px 6px 0px #1F2937 !important; |
| } |
| |
| /* ===== π¨ μ
λ ₯ νλ (Textbox) ===== */ |
| textarea, |
| input[type="text"], |
| input[type="number"] { |
| background: #FFFFFF !important; |
| border: 3px solid #1F2937 !important; |
| border-radius: 8px !important; |
| color: #1F2937 !important; |
| font-family: 'Comic Neue', cursive !important; |
| font-size: 1rem !important; |
| font-weight: 700 !important; |
| transition: all 0.2s ease !important; |
| } |
| |
| textarea:focus, |
| input[type="text"]:focus, |
| input[type="number"]:focus { |
| border-color: #3B82F6 !important; |
| box-shadow: 4px 4px 0px #3B82F6 !important; |
| outline: none !important; |
| } |
| |
| textarea::placeholder { |
| color: #9CA3AF !important; |
| font-weight: 400 !important; |
| } |
| |
| /* ===== π¨ Primary λ²νΌ - μ½λ―Ή λΈλ£¨ ===== */ |
| .gr-button-primary, |
| button.primary, |
| .gr-button.primary, |
| .edit-btn { |
| background: #3B82F6 !important; |
| border: 3px solid #1F2937 !important; |
| border-radius: 8px !important; |
| color: #FFFFFF !important; |
| font-family: 'Bangers', cursive !important; |
| font-weight: 400 !important; |
| font-size: 1.3rem !important; |
| letter-spacing: 2px !important; |
| padding: 14px 28px !important; |
| box-shadow: 5px 5px 0px #1F2937 !important; |
| transition: all 0.1s ease !important; |
| text-shadow: 1px 1px 0px #1F2937 !important; |
| } |
| |
| .gr-button-primary:hover, |
| button.primary:hover, |
| .gr-button.primary:hover, |
| .edit-btn:hover { |
| background: #2563EB !important; |
| transform: translate(-2px, -2px) !important; |
| box-shadow: 7px 7px 0px #1F2937 !important; |
| } |
| |
| .gr-button-primary:active, |
| button.primary:active, |
| .gr-button.primary:active, |
| .edit-btn:active { |
| transform: translate(3px, 3px) !important; |
| box-shadow: 2px 2px 0px #1F2937 !important; |
| } |
| |
| /* ===== π¨ Secondary λ²νΌ - μ½λ―Ή λ λ ===== */ |
| .gr-button-secondary, |
| button.secondary, |
| .use-output-btn { |
| background: #EF4444 !important; |
| border: 3px solid #1F2937 !important; |
| border-radius: 8px !important; |
| color: #FFFFFF !important; |
| font-family: 'Bangers', cursive !important; |
| font-weight: 400 !important; |
| font-size: 1.1rem !important; |
| letter-spacing: 1px !important; |
| box-shadow: 4px 4px 0px #1F2937 !important; |
| transition: all 0.1s ease !important; |
| text-shadow: 1px 1px 0px #1F2937 !important; |
| } |
| |
| .gr-button-secondary:hover, |
| button.secondary:hover, |
| .use-output-btn:hover { |
| background: #DC2626 !important; |
| transform: translate(-2px, -2px) !important; |
| box-shadow: 6px 6px 0px #1F2937 !important; |
| } |
| |
| .gr-button-secondary:active, |
| button.secondary:active, |
| .use-output-btn:active { |
| transform: translate(2px, 2px) !important; |
| box-shadow: 2px 2px 0px #1F2937 !important; |
| } |
| |
| /* ===== π¨ μ΄λ―Έμ§ μ
λ‘λ/μΆλ ₯ μμ ===== */ |
| .gr-image, |
| .image-container, |
| .image-upload { |
| border: 4px solid #1F2937 !important; |
| border-radius: 8px !important; |
| box-shadow: 8px 8px 0px #1F2937 !important; |
| overflow: hidden !important; |
| background: #FFFFFF !important; |
| } |
| |
| /* ===== π¨ μμ½λμΈ - λ§νμ μ€νμΌ ===== */ |
| .gr-accordion { |
| background: #FACC15 !important; |
| border: 3px solid #1F2937 !important; |
| border-radius: 8px !important; |
| box-shadow: 4px 4px 0px #1F2937 !important; |
| } |
| |
| .gr-accordion-header { |
| color: #1F2937 !important; |
| font-family: 'Comic Neue', cursive !important; |
| font-weight: 700 !important; |
| font-size: 1.1rem !important; |
| } |
| |
| /* ===== π¨ μ¬λΌμ΄λ μ€νμΌ ===== */ |
| .gr-slider input[type="range"] { |
| accent-color: #3B82F6 !important; |
| } |
| |
| .gr-slider .gr-slider-label { |
| font-family: 'Comic Neue', cursive !important; |
| font-weight: 700 !important; |
| color: #1F2937 !important; |
| } |
| |
| /* ===== π¨ 체ν¬λ°μ€ μ€νμΌ ===== */ |
| .gr-checkbox input[type="checkbox"] { |
| accent-color: #3B82F6 !important; |
| width: 20px !important; |
| height: 20px !important; |
| } |
| |
| .gr-checkbox label { |
| font-family: 'Comic Neue', cursive !important; |
| font-weight: 700 !important; |
| color: #1F2937 !important; |
| } |
| |
| /* ===== π¨ λΌλ²¨ μ€νμΌ ===== */ |
| label, |
| .gr-input-label, |
| .gr-block-label { |
| color: #1F2937 !important; |
| font-family: 'Comic Neue', cursive !important; |
| font-weight: 700 !important; |
| font-size: 1rem !important; |
| } |
| |
| span.gr-label { |
| color: #1F2937 !important; |
| } |
| |
| /* ===== π¨ μ 보 ν
μ€νΈ ===== */ |
| .gr-info, |
| .info { |
| color: #6B7280 !important; |
| font-family: 'Comic Neue', cursive !important; |
| font-size: 0.9rem !important; |
| } |
| |
| /* ===== π¨ νλ‘κ·Έλ μ€ λ° ===== */ |
| .progress-bar, |
| .gr-progress-bar { |
| background: #3B82F6 !important; |
| border: 2px solid #1F2937 !important; |
| border-radius: 4px !important; |
| } |
| |
| /* ===== π¨ μ€ν¬λ‘€λ° - μ½λ―Ή μ€νμΌ ===== */ |
| ::-webkit-scrollbar { |
| width: 12px; |
| height: 12px; |
| } |
| |
| ::-webkit-scrollbar-track { |
| background: #FEF9C3; |
| border: 2px solid #1F2937; |
| } |
| |
| ::-webkit-scrollbar-thumb { |
| background: #3B82F6; |
| border: 2px solid #1F2937; |
| border-radius: 0px; |
| } |
| |
| ::-webkit-scrollbar-thumb:hover { |
| background: #EF4444; |
| } |
| |
| /* ===== π¨ μ ν νμ΄λΌμ΄νΈ ===== */ |
| ::selection { |
| background: #FACC15; |
| color: #1F2937; |
| } |
| |
| /* ===== π¨ λ§ν¬ μ€νμΌ ===== */ |
| a { |
| color: #3B82F6 !important; |
| text-decoration: none !important; |
| font-weight: 700 !important; |
| } |
| |
| a:hover { |
| color: #EF4444 !important; |
| } |
| |
| /* ===== π¨ Row/Column κ°κ²© ===== */ |
| .gr-row { |
| gap: 1.5rem !important; |
| } |
| |
| .gr-column { |
| gap: 1rem !important; |
| } |
| |
| /* ===== π¨ ν둬ννΈ μ
λ ₯ μμ νΉλ³ μ€νμΌ ===== */ |
| .prompt-input textarea { |
| background: #EFF6FF !important; |
| border: 4px dashed #3B82F6 !important; |
| border-radius: 12px !important; |
| font-size: 1.1rem !important; |
| min-height: 120px !important; |
| } |
| |
| .prompt-input textarea:focus { |
| border-style: solid !important; |
| background: #FFFFFF !important; |
| } |
| |
| /* ===== λ°μν μ‘°μ ===== */ |
| @media (max-width: 768px) { |
| .header-text h1 { |
| font-size: 2.2rem !important; |
| text-shadow: |
| 3px 3px 0px #FACC15, |
| 4px 4px 0px #1F2937 !important; |
| } |
| |
| .gr-button-primary, |
| button.primary { |
| padding: 12px 20px !important; |
| font-size: 1.1rem !important; |
| } |
| |
| .gr-panel, |
| .block { |
| box-shadow: 4px 4px 0px #1F2937 !important; |
| } |
| } |
| |
| /* ===== π¨ λ€ν¬λͺ¨λ λΉνμ±ν (μ½λ―Ήμ λ°μμΌ ν¨) ===== */ |
| @media (prefers-color-scheme: dark) { |
| .gradio-container { |
| background-color: #FEF9C3 !important; |
| } |
| } |
| """ |
|
|
| |
| with gr.Blocks(fill_height=True, css=css) as demo: |
| gr.LoginButton(value="Option: HuggingFace 'Login' for extra GPU quota +", size="sm") |
| with gr.Column(elem_id="col-container"): |
| |
| |
| gr.HTML(""" |
| <div style="text-align: center; margin: 20px 0 10px 0;"> |
| <a href="https://www.humangen.ai" target="_blank" style="text-decoration: none;"> |
| <img src="https://img.shields.io/static/v1?label=π HOME&message=HUMANGEN.AI&color=0000ff&labelColor=ffcc00&style=for-the-badge" alt="HOME"> |
| </a> |
| </div> |
| """) |
| |
| |
| gr.Markdown( |
| """ |
| # π¨ QWEN IMAGE EDIT STUDIO πΌοΈ |
| """, |
| elem_classes="header-text" |
| ) |
| |
| gr.Markdown( |
| """ |
| <p class="subtitle">β¨ Upload an image and describe your edit - AI transforms it instantly! β¨</p> |
| """, |
| ) |
|
|
| with gr.Row(equal_height=False): |
| |
| with gr.Column(scale=1, min_width=320): |
| image_1 = gr.Image( |
| label="πΌοΈ Main Image", |
| type="pil", |
| interactive=True, |
| elem_classes="image-upload" |
| ) |
| |
| with gr.Accordion("π More Reference Images", open=False): |
| with gr.Row(): |
| image_2 = gr.Image( |
| label="πΌοΈ Reference 2", |
| type="pil", |
| interactive=True |
| ) |
| image_3 = gr.Image( |
| label="πΌοΈ Reference 3", |
| type="pil", |
| interactive=True |
| ) |
|
|
| |
| with gr.Column(scale=1, min_width=320): |
| result = gr.Image( |
| label="π― Result", |
| type="pil", |
| interactive=False, |
| elem_classes="image-container" |
| ) |
| |
| use_output_btn = gr.Button( |
| "βοΈ USE AS INPUT!", |
| variant="secondary", |
| size="sm", |
| visible=False, |
| elem_classes="use-output-btn" |
| ) |
| |
| gr.Markdown( |
| """ |
| <p style="text-align: center; margin-top: 10px; font-weight: 700; color: #1F2937; font-family: 'Comic Neue', cursive;"> |
| π‘ Right-click on the image to save, or use the download button! |
| </p> |
| """ |
| ) |
|
|
| |
| with gr.Row(): |
| with gr.Column(): |
| prompt = gr.Textbox( |
| label="βοΈ Edit Instruction", |
| show_label=True, |
| placeholder="Describe the edit you want to make... e.g., 'Change the background to a beach sunset' or 'Add sunglasses to the person'", |
| lines=4, |
| elem_classes="prompt-input" |
| ) |
| |
| run_button = gr.Button( |
| "π EDIT IMAGE!", |
| variant="primary", |
| size="lg", |
| elem_classes="edit-btn" |
| ) |
|
|
| |
| with gr.Accordion("βοΈ Advanced Settings", open=False): |
| with gr.Row(): |
| seed = gr.Slider( |
| label="π² Seed", |
| minimum=0, |
| maximum=MAX_SEED, |
| step=1, |
| value=0, |
| ) |
| randomize_seed = gr.Checkbox( |
| label="π Randomize Seed", |
| value=True |
| ) |
|
|
| with gr.Row(): |
| true_guidance_scale = gr.Slider( |
| label="π― Guidance Scale", |
| minimum=1.0, |
| maximum=10.0, |
| step=0.1, |
| value=1.0 |
| ) |
| num_inference_steps = gr.Slider( |
| label="π Inference Steps", |
| minimum=1, |
| maximum=40, |
| step=1, |
| value=20, |
| ) |
| |
| with gr.Row(): |
| height = gr.Slider( |
| label="π Height", |
| minimum=1024, |
| maximum=2048, |
| step=8, |
| value=1024, |
| ) |
| width = gr.Slider( |
| label="π Width", |
| minimum=1024, |
| maximum=2048, |
| step=8, |
| value=1024, |
| ) |
|
|
| |
| gr.Markdown( |
| """ |
| <div style="background: #FACC15; border: 3px solid #1F2937; border-radius: 8px; padding: 15px; margin-top: 20px; box-shadow: 4px 4px 0px #1F2937;"> |
| <h3 style="font-family: 'Bangers', cursive; color: #1F2937; margin: 0 0 10px 0; font-size: 1.3rem;">π‘ PRO TIPS</h3> |
| <ul style="font-family: 'Comic Neue', cursive; color: #1F2937; font-weight: 700; margin: 0; padding-left: 20px;"> |
| <li>Be specific in your edit instructions for better results!</li> |
| <li>Use reference images for style transfer or composition guidance</li> |
| <li>Adjust inference steps: more steps = better quality, slower speed</li> |
| <li>Try different seeds if you don't like the result</li> |
| </ul> |
| </div> |
| """ |
| ) |
|
|
| |
| gr.on( |
| triggers=[run_button.click], |
| fn=infer, |
| inputs=[ |
| image_1, |
| image_2, |
| image_3, |
| prompt, |
| seed, |
| randomize_seed, |
| true_guidance_scale, |
| num_inference_steps, |
| height, |
| width, |
| ], |
| outputs=[result, seed, use_output_btn], |
| ) |
|
|
| use_output_btn.click( |
| fn=use_output_as_input, |
| inputs=[result], |
| outputs=[image_1] |
| ) |
|
|
| if __name__ == "__main__": |
| demo.launch(mcp_server=True, show_error=True) |