| import gradio as gr | |
| import requests | |
| import os | |
| from PIL import Image | |
| from io import BytesIO | |
| from tqdm import tqdm | |
| import time | |
| repo = "artificialguybr/TshirtDesignRedmond-V2" | |
| def infer(color_prompt, dress_type_prompt, design_prompt, text): | |
| prompt = ( | |
| f"A single {color_prompt} colored {dress_type_prompt} featuring a bold {design_prompt} design printed on the {dress_type_prompt}, hanging on a plain wall. The soft light and shadows, creating a striking contrast against the minimal background, evoking modern sophistication.") | |
| full_prompt = f"{prompt}" | |
| print("Generating image with prompt:", full_prompt) | |
| api_url = f"https://api-inference.huggingface.co/models/{repo}" | |
| #token = os.getenv("API_TOKEN") # Uncomment and use your Hugging Face API token | |
| headers = { | |
| #"Authorization": f"Bearer {token}" | |
| } | |
| payload = { | |
| "inputs": full_prompt, | |
| "parameters": { | |
| "negative_prompt": "(worst quality, low quality, normal quality, lowres, low details, oversaturated, undersaturated, overexposed, underexposed, grayscale, bw, bad photo, bad photography, bad art:1.4), (watermark, signature, text font, username, error, logo, words, letters, digits, autograph, trademark, name:1.2), (blur, blurry, grainy), morbid, ugly, asymmetrical, mutated malformed, mutilated, poorly lit, bad shadow, draft, cropped, out of frame, cut off, censored, jpeg artifacts, out of focus, glitch, duplicate, (airbrushed, cartoon, anime, semi-realistic, cgi, render, blender, digital art, manga, amateur:1.3), (3D ,3D Game, 3D Game Scene, 3D Character:1.1), (bad hands, bad anatomy, bad body, bad face, bad teeth, bad arms, bad legs, deformities:1.3), (Poor Fit, ill-fitting, awkward proportions, baggy where it shouldn't be, tight in wrong places, Bad Texture, low-quality fabric, wrinkled, rough texture, pixelated details, artificial shine, Cluttered Design, overly busy, too many patterns, excessive contrast, distracting elements, Outdated Fashion, old-fashioned, style(unless intentional), outdated trends, dull colors, Bad Composition, misaligned prints, asymmetrical in an unintentional way, weird placement of logos, Cheap Look, plastic-like fabric, low-quality print, faded colors, generic fast fashion, Unrealistic Details, floating textures, distorted logos, unnatural fabric folds, Unwanted Features, holes, rips, stains, unfinished seams, torn edges)", | |
| "num_inference_steps": 30, | |
| "scheduler": "DPMSolverMultistepScheduler" | |
| }, | |
| } | |
| error_count = 0 | |
| pbar = tqdm(total=None, desc="Loading model") | |
| while True: | |
| print("Sending request to API...") | |
| response = requests.post(api_url, headers=headers, json=payload) | |
| print("API response status code:", response.status_code) | |
| if response.status_code == 200: | |
| print("Image generation successful!") | |
| return Image.open(BytesIO(response.content)) | |
| elif response.status_code == 503: | |
| time.sleep(1) | |
| pbar.update(1) | |
| elif response.status_code == 500 and error_count < 5: | |
| time.sleep(1) | |
| error_count += 1 | |
| else: | |
| print("API Error:", response.status_code) | |
| raise Exception(f"API Error: {response.status_code}") | |
| # Gradio Interface | |
| iface = gr.Interface( | |
| fn=infer, | |
| inputs=[ | |
| gr.Textbox(lines=1, placeholder="Color Prompt"), # color_prompt | |
| gr.Textbox(lines=1, placeholder="Dress Type Prompt"), # dress_type_prompt | |
| gr.Textbox(lines=2, placeholder="Design Prompt"), # design_prompt | |
| gr.Textbox(lines=1, placeholder="Text (Optional)"), # text | |
| ], | |
| outputs="image", | |
| title="Make your Brand", | |
| description="Generation of clothes", | |
| examples=[["Red", "T-shirt", "Simple design", "Stylish Text"]] | |
| ) | |
| print("Launching Gradio interface...") | |
| iface.launch() |