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import os |
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import glob |
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import requests |
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import json |
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from pprint import pprint |
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import base64 |
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from io import BytesIO |
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x_path = "./init.png" |
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y_folder = "./New folder" |
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output_folder = "output" |
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os.makedirs(output_folder, exist_ok=True) |
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def get_image_paths(folder): |
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image_extensions = ("*.jpg", "*.jpeg", "*.png", "*.bmp") |
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files = [] |
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for ext in image_extensions: |
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files.extend(glob.glob(os.path.join(folder, ext))) |
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return sorted(files) |
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y_paths = get_image_paths(y_folder) |
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def send_request(init_image_path, temp_path,controlnet_input_image_path): |
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url = "http://localhost:7860/sdapi/v1/img2img" |
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with open(init_image_path, "rb") as f: |
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init_image = base64.b64encode(f.read()).decode("utf-8") |
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with open(controlnet_input_image_path, "rb") as b: |
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controlnet_input_image = base64.b64encode(b.read()).decode("utf-8") |
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data = { |
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"init_images": [init_image], |
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"inpainting_fill": 0, |
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"inpaint_full_res": True, |
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"inpaint_full_res_padding": 1, |
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"inpainting_mask_invert": 1, |
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"resize_mode": 0, |
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"denoising_strength": 0.5, |
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"prompt": "anime man at computer", |
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"negative_prompt": "(ugly:1.3), (fused fingers), (too many fingers), (bad anatomy:1.5), (watermark:1.5), (words), letters, untracked eyes, asymmetric eyes, floating head, (logo:1.5), (bad hands:1.3), (mangled hands:1.2), (missing hands), (missing arms), backward hands, floating jewelry, unattached jewelry, floating head, doubled head, unattached head, doubled head, head in body, (misshapen body:1.1), (badly fitted headwear:1.2), floating arms, (too many arms:1.5), limbs fused with body, (facial blemish:1.5), badly fitted clothes, imperfect eyes, untracked eyes, crossed eyes, hair growing from clothes, partial faces, hair not attached to head", |
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"alwayson_scripts": { |
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"ControlNet":{ |
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"args": [ |
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{ |
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"input_image": controlnet_input_image, |
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"module": "hed", |
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"model": "control_hed-fp16 [13fee50b]", |
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"weight": 1, |
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"guidance": 0.6, |
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}, |
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{ |
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"input_image": init_image, |
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"model": "temporalnetv3 [b146ac48]", |
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"module": "none", |
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"weight": 1, |
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"guidance": 0.8, |
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} |
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] |
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} |
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}, |
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"seed": 770169050, |
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"subseed": -1, |
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"subseed_strength": -1, |
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"sampler_index": "Euler a", |
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"batch_size": 1, |
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"n_iter": 1, |
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"steps": 20, |
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"cfg_scale": 6, |
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"width": 1152, |
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"height": 640, |
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"restore_faces": True, |
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"include_init_images": True, |
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"override_settings": {}, |
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"override_settings_restore_afterwards": True |
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} |
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response = requests.post(url, json=data) |
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if response.status_code == 200: |
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return response.content |
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else: |
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try: |
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error_data = response.json() |
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print("Error:") |
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print(str(error_data)) |
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except json.JSONDecodeError: |
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print(f"Error: Unable to parse JSON error data.") |
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return None |
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output_images = [] |
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output_images.append(send_request(x_path,y_folder, y_paths[0])) |
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output_paths = [] |
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for i in range(1, len(y_paths)): |
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result_image = output_images[i-1] |
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temp_image_path = os.path.join(output_folder, f"temp_image_{i}.png") |
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data = json.loads(result_image) |
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encoded_image = data["images"][0] |
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with open(temp_image_path, "wb") as f: |
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f.write(base64.b64decode(encoded_image)) |
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output_paths.append(temp_image_path) |
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result = send_request(y_paths[i], y_folder, temp_image_path) |
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output_images.append(result) |
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print(f"Written data for frame {i}:") |
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