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Update app3.py
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app3.py
CHANGED
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@@ -53,33 +53,33 @@ def SD_call(prompt, image_prompt, age, weight, w_w, color, hair_color,h_c_w, ha
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# Define your data (this could also be a JSON payload)
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print("SD_processing")
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data = {
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},
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"
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"width": 520,
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"height": 520,
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"sampler_name": "DPM++ SDE Karras",
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"sampler_index": "DPM++ SDE Karras",
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"restore_faces": False
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}
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}
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}
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# data = {
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# "input": {
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@@ -177,4 +177,4 @@ demo = gr.Interface(
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outputs=[gr.Image(label="Generated Image", type="filepath")],
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)
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demo.launch(share=True)
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# Define your data (this could also be a JSON payload)
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print("SD_processing")
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data = {
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"input": {
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"api": {
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"method": "POST",
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"endpoint": "/sdapi/v1/txt2img"
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},
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"payload": {
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"override_settings": {
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"sd_model_checkpoint": "CyberRealistic",
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"sd_vae": ""
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},
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"override_settings_restore_afterwards": True,
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"refiner_checkpoint": "",
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"refiner_switch_at": 0.8,
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"prompt": f"{total_prompt}, {positive}",
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"negative_prompt": f"EasyNegative, fat, paintings, sketches, lowres, ((monochrome)), ((grayscale)), bad anatomy, text, error, cropped, signature, watermark, username, blurry, bad feet, poorly drawn face, bad proportions, gross proportions, ng_deepnegative_v1_75t, badhandsv5-neg, {negative}",
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"seed": -1,
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"batch_size": 1,
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"steps": 30,
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"cfg_scale": 7,
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"width": 520,
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"height": 520,
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"sampler_name": "DPM++ SDE Karras",
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"sampler_index": "DPM++ SDE Karras",
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"restore_faces": False
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}
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}
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}
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# data = {
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# "input": {
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outputs=[gr.Image(label="Generated Image", type="filepath")],
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)
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demo.launch(share=True)
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