community-efforts/image_preferences/01_synthetic_data_generation_prompts.py [20:218]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - categories = { # included "Cinematic": [ # included "emotional", "harmonious", "vignette", "highly detailed", "high budget", "bokeh", "cinemascope", "moody", "epic", "gorgeous", "film grain", "grainy", ], # included "Photographic": [ # included "film", "bokeh", "professional", "4k", "highly detailed", ## not included "Landscape", "Portrait", "Macro", "Portra", "Gold", "ColorPlus", "Ektar", "Superia", "C200", "CineStill", "CineStill 50D", "CineStill 800T", "Tri-X", "HP5", "Delta", "T-Max", "Fomapan", "StreetPan", "Provia", "Ektachrome", "Velvia", ], # included "Anime": [ # included "anime style", "key visual", "vibrant", "studio anime", "highly detailed", ], # included "Manga": [ # included "vibrant", "high-energy", "detailed", "iconic", "Japanese comic style", ], # included "Digital art": [ # included "digital artwork", "illustrative", "painterly", "matte painting", "highly detailed", ], # included "Pixel art": [ # included "low-res", "blocky", "pixel art style", "8-bit graphics", ], # included "Fantasy art": [ # included "magnificent", "celestial", "ethereal", "painterly", "epic", "majestic", "magical", "fantasy art", "cover art", "dreamy", ], # included "Neonpunk": [ # included "cyberpunk", "vaporwave", "neon", "vibes", "vibrant", "stunningly beautiful", "crisp", "detailed", "sleek", "ultramodern", "magenta highlights", "dark purple shadows", "high contrast", "cinematic", "ultra detailed", "intricate", "professional", ], # included "3D Model": [ # included "octane render", "highly detailed", "volumetric", "dramatic lighting", ], # not included "Painting": [ "Oil", "Acrylic", "Watercolor", "Digital", "Mural", "Sketch", "Gouache", "Renaissance", "Baroque", "Romanticism", "Impressionism", "Expressionism", "Cubism", "Surrealism", "Pop Art", "Minimalism", "Realism", "Encaustic", "Tempera", "Fresco", "Ink Wash", "Spray Paint", "Mixed Media", ], # not included "Animation": [ # not included "Animation", "Stop motion", "Claymation", "Pixel Art", "Vector", "Hand-drawn", "Cutout", "Whiteboard", ], # not included "Illustration": [ # not included "Book", "Comics", "Editorial", "Advertising", "Technical", "Fantasy", "Scientific", "Fashion", "Storyboard", "Concept Art", "Manga", "Anime", "Digital", "Vector", "Design", ], } ## We will use the Qwen2.5-72B-Instruct model for the text generation task, this will help us to generate the quality and style prompts model_id = ( "meta-llama/Llama-3.1-8B-Instruct" ) # "meta-llama/Meta-Llama-3.1-70B-Instruct" llm = InferenceEndpointsLLM( # model_id=model_id, # tokenizer_id=model_id, generation_kwargs={"temperature": 0.8, "max_new_tokens": 2048}, base_url="https://rti2mzernqmo00qy.us-east-1.aws.endpoints.huggingface.cloud", api_key=os.getenv("HF_TOKEN"), ) - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - community-efforts/image_preferences/01_synthetic_data_generation_total.py [113:311]: - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - categories = { # included "Cinematic": [ # included "emotional", "harmonious", "vignette", "highly detailed", "high budget", "bokeh", "cinemascope", "moody", "epic", "gorgeous", "film grain", "grainy", ], # included "Photographic": [ # included "film", "bokeh", "professional", "4k", "highly detailed", ## not included "Landscape", "Portrait", "Macro", "Portra", "Gold", "ColorPlus", "Ektar", "Superia", "C200", "CineStill", "CineStill 50D", "CineStill 800T", "Tri-X", "HP5", "Delta", "T-Max", "Fomapan", "StreetPan", "Provia", "Ektachrome", "Velvia", ], # included "Anime": [ # included "anime style", "key visual", "vibrant", "studio anime", "highly detailed", ], # included "Manga": [ # included "vibrant", "high-energy", "detailed", "iconic", "Japanese comic style", ], # included "Digital art": [ # included "digital artwork", "illustrative", "painterly", "matte painting", "highly detailed", ], # included "Pixel art": [ # included "low-res", "blocky", "pixel art style", "8-bit graphics", ], # included "Fantasy art": [ # included "magnificent", "celestial", "ethereal", "painterly", "epic", "majestic", "magical", "fantasy art", "cover art", "dreamy", ], # included "Neonpunk": [ # included "cyberpunk", "vaporwave", "neon", "vibes", "vibrant", "stunningly beautiful", "crisp", "detailed", "sleek", "ultramodern", "magenta highlights", "dark purple shadows", "high contrast", "cinematic", "ultra detailed", "intricate", "professional", ], # included "3D Model": [ # included "octane render", "highly detailed", "volumetric", "dramatic lighting", ], # not included "Painting": [ "Oil", "Acrylic", "Watercolor", "Digital", "Mural", "Sketch", "Gouache", "Renaissance", "Baroque", "Romanticism", "Impressionism", "Expressionism", "Cubism", "Surrealism", "Pop Art", "Minimalism", "Realism", "Encaustic", "Tempera", "Fresco", "Ink Wash", "Spray Paint", "Mixed Media", ], # not included "Animation": [ # not included "Animation", "Stop motion", "Claymation", "Pixel Art", "Vector", "Hand-drawn", "Cutout", "Whiteboard", ], # not included "Illustration": [ # not included "Book", "Comics", "Editorial", "Advertising", "Technical", "Fantasy", "Scientific", "Fashion", "Storyboard", "Concept Art", "Manga", "Anime", "Digital", "Vector", "Design", ], } ## We will use the Qwen2.5-72B-Instruct model for the text generation task, this will help us to generate the quality and style prompts model_id = ( "meta-llama/Llama-3.1-8B-Instruct" # "meta-llama/Meta-Llama-3.1-70B-Instruct" ) llm = InferenceEndpointsLLM( # model_id=model_id, # tokenizer_id=model_id, generation_kwargs={"temperature": 0.8, "max_new_tokens": 2048}, base_url="https://rti2mzernqmo00qy.us-east-1.aws.endpoints.huggingface.cloud", api_key=os.getenv("HF_TOKEN"), ) - 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