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| import gradio as gr | |
| import requests | |
| import json | |
| import PIL.Image | |
| from io import BytesIO | |
| import os | |
| def generate_image(prompt): | |
| # Define the API endpoint | |
| apiUrl = os.getenv("API_URL") | |
| token = os.getenv("API_TOKEN") | |
| # Define the request headers | |
| headers = { | |
| "Content-Type": "application/json", | |
| "token": "token" | |
| } | |
| # Define the request body | |
| body = { | |
| "mode": "url", | |
| "model": "AOM3A1B_orangemixs.safetensors", | |
| "tiling": False, | |
| "batch_size": 1, | |
| "prompt": prompt, | |
| "negative_prompt": "worst quality, lowres", | |
| "seed": 1234, | |
| "scheduler": "Euler a", | |
| "n_iter": 1, | |
| "steps": 25, | |
| "cfg": 11.0, | |
| "offset_noise": 0.0, | |
| "width": 512, | |
| "height": 512, | |
| "clip_skip": 1, | |
| "loras": [{"name": "", "strength": 1.0}], | |
| "embeddings": [{"name": "", "strength": 1.0}], | |
| "vae": "vae-ft-mse-840000-ema-pruned.ckpt", | |
| "restore_faces": False, | |
| "fr_model": "CodeFormer", | |
| "codeformer_weight": 0.5, | |
| "enable_hr": False, | |
| "denoising_strength": 0.75, | |
| "hr_scale": 2, | |
| "hr_upscale": "None", | |
| "img2img_ref_img_type": "piece", | |
| "img2img_resize_mode": 0, | |
| "img2img_denoising_strength": 0.75, | |
| "controlnet_enabled": False, | |
| "controlnet_ref_img_type": "piece", | |
| "controlnet_guessmode": False, | |
| "controlnet_module": "canny", | |
| "controlnet_model": "control_v11p_sd15_softedge", | |
| "controlnet_weight": 1, | |
| "controlnet_guidance_start": 0, | |
| "controlnet_guidance_end": 1, | |
| "controlnet_ref_img_url": "https://upload.wikimedia.org/wikipedia/commons/d/d1/Image_not_available.png", | |
| "controlnet_mask": [], | |
| "controlnet_resize_mode": "Scale to Fit (Inner Fit)", | |
| "controlnet_lowvram": False, | |
| "controlnet_processor_res": 512, | |
| "controlnet_threshold_a": 100, | |
| "controlnet_threshold_b": 200 | |
| } | |
| # Send the request | |
| response = requests.post(apiUrl, headers=headers, data=json.dumps(body)) | |
| # Check the response status | |
| if response.status_code == 200: | |
| # Get the image URL from the response | |
| image_url = json.loads(response.text)['results'][0] | |
| # Get the image from the URL | |
| image_response = requests.get(image_url) | |
| image = PIL.Image.open(BytesIO(image_response.content)) | |
| return image | |
| else: | |
| raise Exception("API request failed with status code " + str(response.status_code)) | |
| # Define the Gradio interface | |
| iface = gr.Interface( | |
| fn=generate_image, | |
| inputs="text", | |
| outputs="image", | |
| title="Freedom Demonstration", | |
| description = """ | |
| Testing environment for the Freedom Model. Finetuned model of SD 2.1 768X produced by <a href='https://twitter.com/artificialguybr' target='_blank'>@artificialguybr</a>.<br><br> | |
| The model has its problems, but overall it works well. The weights were released <a href='LINK_TO_WEIGHTS' target='_blank'>here</a>.<br><br> | |
| You can find example prompts <a href='LINK_TO_EXAMPLE_PROMPTS' target='_blank'>here</a>.<br><br> | |
| Demonstration running on the <a href='LINK_TO_MAKEAI.RUN_API' target='_blank'>makeai.run API</a>.<br><br> | |
| Thanks to <a href='LINK_TO_REDMOND.AI' target='_blank'>Redmond.ai</a> for providing GPU Time and sponsoring this model. | |
| """, | |
| allow_flagging=False | |
| ) | |
| # Launch the app | |
| iface.launch() |