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import json |
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from urllib import request, parse |
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import gradio as gr |
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import random |
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import os |
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import matplotlib.pyplot as plt |
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import matplotlib.image as mpimg |
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from PIL import Image as PILImage |
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prompt_text = """ |
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{ |
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"10": { |
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"inputs": { |
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"ckpt_name": "DreamShaper_8_pruned.safetensors", |
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"vae_name": "vae-ft-mse-840000-ema-pruned.ckpt", |
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"clip_skip": -2, |
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"lora_name": "None", |
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"lora_model_strength": 1, |
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"lora_clip_strength": 1, |
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"positive": "In the style of Grand Theft Auto, loading screens, (palm trees), GTA style artwork, highly detailed, urban scene with numerous palm trees, neon lights, and graffiti, trending on ArtStation, preserving the individual's race, color and hair.", |
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"negative": "(worst quality, low quality = 1.3)", |
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"token_normalization": "none", |
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"weight_interpretation": "comfy", |
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"empty_latent_width": [ |
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"65", |
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0 |
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], |
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"empty_latent_height": [ |
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"65", |
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1 |
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], |
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"batch_size": 1, |
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"cnet_stack": [ |
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"11", |
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0 |
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] |
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}, |
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"class_type": "Efficient Loader", |
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"_meta": { |
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"title": "Efficient Loader" |
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} |
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}, |
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"11": { |
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"inputs": { |
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"switch_1": "On", |
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"controlnet_1": "control_v11p_sd15_lineart_fp16.safetensors", |
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"controlnet_strength_1": 0.7000000000000001, |
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"start_percent_1": 0, |
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"end_percent_1": 1, |
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"switch_2": "On", |
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"controlnet_2": "control_v11p_sd15_openpose_fp16.safetensors", |
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"controlnet_strength_2": 1, |
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"start_percent_2": 0, |
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"end_percent_2": 1, |
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"switch_3": "Off", |
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"controlnet_3": "None", |
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"controlnet_strength_3": 0.99, |
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"start_percent_3": 0, |
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"end_percent_3": 1, |
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"image_1": [ |
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"107", |
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0 |
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], |
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"image_2": [ |
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"109", |
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0 |
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] |
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}, |
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"class_type": "CR Multi-ControlNet Stack", |
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"_meta": { |
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"title": "🕹️ CR Multi-ControlNet Stack" |
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} |
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}, |
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"12": { |
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"inputs": { |
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"low_threshold": 100, |
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"high_threshold": 200, |
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"resolution": 2048, |
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"image": [ |
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"14", |
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0 |
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] |
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}, |
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"class_type": "CannyEdgePreprocessor", |
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"_meta": { |
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"title": "Canny Edge" |
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} |
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}, |
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"13": { |
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"inputs": { |
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"images": [ |
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"12", |
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0 |
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] |
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}, |
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"class_type": "PreviewImage", |
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"_meta": { |
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"title": "Preview Image" |
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} |
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}, |
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"14": { |
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"inputs": { |
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"image": "IMG_7593_2 (10).jpg", |
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"upload": "image" |
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}, |
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"class_type": "LoadImage", |
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"_meta": { |
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"title": "Load Image" |
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} |
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}, |
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"64": { |
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"inputs": { |
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"seed": 4091745839, |
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"steps": 10, |
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"cfg": 4, |
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"sampler_name": "dpm_fast", |
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"scheduler": "karras", |
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"denoise": 1, |
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"preview_method": "auto", |
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"vae_decode": "true", |
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"model": [ |
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"10", |
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0 |
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], |
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"positive": [ |
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"10", |
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1 |
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], |
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"negative": [ |
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"10", |
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2 |
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], |
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"latent_image": [ |
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"10", |
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3 |
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], |
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"optional_vae": [ |
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"10", |
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4 |
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], |
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"script": [ |
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"101", |
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0 |
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] |
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}, |
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"class_type": "KSampler (Efficient)", |
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"_meta": { |
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"title": "KSampler (Efficient)" |
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} |
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}, |
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"65": { |
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"inputs": { |
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"width": 512, |
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"height": 512, |
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"aspect_ratio": "SD1.5 - 2:3 portrait 512x768", |
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"swap_dimensions": "Off", |
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"upscale_factor": 1, |
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"prescale_factor": 1, |
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"batch_size": 1 |
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}, |
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"class_type": "CR Aspect Ratio", |
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"_meta": { |
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"title": "🔳 CR Aspect Ratio" |
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} |
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}, |
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"99": { |
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"inputs": { |
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"filename_prefix": "image", |
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"images": [ |
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"64", |
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5 |
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] |
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}, |
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"class_type": "SaveImage", |
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"_meta": { |
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"title": "Save Image" |
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} |
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}, |
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"101": { |
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"inputs": { |
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"grid_spacing": 0, |
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"XY_flip": "False", |
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"Y_label_orientation": "Horizontal", |
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"cache_models": "True", |
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"ksampler_output_image": "Images", |
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"X": [ |
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"102", |
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0 |
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] |
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}, |
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"class_type": "XY Plot", |
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"_meta": { |
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"title": "XY Plot" |
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} |
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}, |
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"102": { |
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"inputs": { |
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"batch_count": 1, |
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"first_cfg": 4, |
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"last_cfg": 4 |
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}, |
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"class_type": "XY Input: CFG Scale", |
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"_meta": { |
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"title": "XY Input: CFG Scale" |
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} |
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}, |
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"107": { |
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"inputs": { |
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"mode": "anime", |
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"image": [ |
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"14", |
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0 |
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] |
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}, |
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"class_type": "Lineart_Detector_Preprocessor", |
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"_meta": { |
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"title": "Lineart_Detector_Preprocessor" |
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} |
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}, |
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"108": { |
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"inputs": { |
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"images": [ |
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"107", |
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0 |
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] |
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}, |
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"class_type": "PreviewImage", |
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"_meta": { |
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"title": "Preview Image" |
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} |
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}, |
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"109": { |
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"inputs": { |
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"include_face": true, |
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"include_hand": true, |
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"include_body": true, |
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"image": [ |
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"14", |
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0 |
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] |
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}, |
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"class_type": "Openpose_Detector_Preprocessor", |
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"_meta": { |
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"title": "Openpose_Detector_Preprocessor" |
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} |
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}, |
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"110": { |
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"inputs": { |
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"images": [ |
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"109", |
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0 |
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] |
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}, |
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"class_type": "PreviewImage", |
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"_meta": { |
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"title": "Preview Image" |
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} |
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} |
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} |
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""" |
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def queue_prompt(prompt): |
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p = {"prompt": prompt} |
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data = json.dumps(p).encode('utf-8') |
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req = request.Request("http://127.0.0.1:8188/prompt", data=data) |
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request.urlopen(req) |
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def generate_images(positive_prompt, negative_prompt, seed, image_path): |
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prompt = json.loads(prompt_text) |
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prompt["10"]["inputs"]["positive"] = positive_prompt |
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prompt["10"]["inputs"]["negative"] = negative_prompt |
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prompt["14"]["inputs"]["image"] = image_path |
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queue_prompt(prompt) |
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output_dir = "/Users/paresh/ComfyUI/output/" |
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current_count = 56 |
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next_filename = f"image_{str(current_count + 1).zfill(5)}_.png" |
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output_image_path = os.path.join(output_dir, next_filename) |
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generated_image = PILImage.open(output_image_path) |
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return generated_image |
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seed = gr.Number(value=43857297359, label="Seed") |
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image = gr.Image(type="filepath", label="Upload Image") |
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positive_prompt = gr.Textbox(lines=2, placeholder="Enter positive prompt") |
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negative_prompt = gr.Textbox(lines=1, placeholder="Enter negative prompt") |
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interface = gr.Interface( |
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fn=generate_images, |
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inputs=[positive_prompt, negative_prompt, seed, image], |
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outputs="text", |
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title="Image Generation with Custom Prompts", |
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description="Generate images in the style of GTA/Anime with customizable prompts with a image input.", |
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) |
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interface.launch() |
