globales.py

import autenticacion
version = "0.0.1"

#previo = "Una fotografía de un plato blanco con "
previo = "A photograph of a white plate with "  
llave, servidor = autenticacion.defineAmbiente()


# espacio = [
#             "black-forest-labs/FLUX.1-dev",
#             #"black-forest-labs/FLUX.1-schnell",
#             "NihalGazi/FLUX-Pro-Unlimited",
#             #"HiDream-ai/HiDream-I1-Dev",
#             #"stabilityai/stable-diffusion"

#           ]


#espacio = "black-forest-labs/FLUX.1-dev"
inferencia = "black-forest-labs/FLUX.1-dev"
inferencia_backup = "black-forest-labs/FLUX.1-schnell"
proveedor =  "hf-inference" #falai
proveedor_back = "fal-ai"
work_cost = 1 #Los segundos que cuesta la generación de una imagen, para control de la capa gratuita.
inference_cost = 1
quota = 1500


SERVER_NAMES = {
    "google_us": "Google US Server",
    #"azure_lite": "Azure Lite Supercomputer Server",
    #"artemis" : "Artemis GPU Super cluster",
    #"nb_dr" : "NebulaDrive Tensor Server",
    #"pixelnet" : "PixelNet NPU Server",
    #"nsfw_core" : "NSFW-Core: Uncensored Server",
    #"nsfw_core_2" : "NSFW-Core: Uncensored Server 2",
    #"nsfw_core_3" : "NSFW-Core: Uncensored Server 3",
    #"nsfw_core_4" : "NSFW-Core: Uncensored Server 4",
}