import os
from constants import LOAD_DIFFUSERS_FORMAT_MODEL as LOAD_DIFFUSERS_FORMAT_MODEL_DC
CIVITAI_API_KEY = os.environ.get("CIVITAI_API_KEY")
HF_TOKEN = os.environ.get("HF_TOKEN")
HF_READ_TOKEN = os.environ.get('HF_READ_TOKEN') # only use for private repo

# - **List Models**
LOAD_DIFFUSERS_FORMAT_MODEL = [
    'Laxhar/noobai-XL-1.0',
    'KBlueLeaf/Kohaku-XL-Epsilon-rev2',
    'KBlueLeaf/Kohaku-XL-Epsilon-rev3',
    'KBlueLeaf/Kohaku-XL-Zeta',
    'kkayfahaarukku/UrangDiffusion-2.0',
    'kayfahaarukku/irAsu-1.0',
    'Eugeoter/artiwaifu-diffusion-2.0',
    'comin/IterComp',
    'OnomaAIResearch/Illustrious-xl-early-release-v0',
    'Raelina/Rae-Diffusion-XL-V2',
    'Raelina/Raemu-XL-V4',
    'Raelina/Raehoshi-illust-XL',
    'Raelina/Raehoshi-illust-xl-2',
    'Raelina/Raehoshi-Illust-XL-2.1',
    "camenduru/FLUX.1-dev-diffusers",
    "black-forest-labs/FLUX.1-schnell",
    "sayakpaul/FLUX.1-merged",
    "ostris/OpenFLUX.1",
    "multimodalart/FLUX.1-dev2pro-full",
    "Raelina/Raemu-Flux",
]
LOAD_DIFFUSERS_FORMAT_MODEL = LOAD_DIFFUSERS_FORMAT_MODEL_DC + LOAD_DIFFUSERS_FORMAT_MODEL

DIFFUSERS_FORMAT_LORAS = [
    "nerijs/animation2k-flux",
    "XLabs-AI/flux-RealismLora",
    "Shakker-Labs/FLUX.1-dev-LoRA-Logo-Design",
]

# List all Models for specified user
HF_MODEL_USER_LIKES = ["votepurchase"] # sorted by number of likes
HF_MODEL_USER_EX = ["John6666"] # sorted by a special rule

# - **Download Models**
DOWNLOAD_MODEL_LIST = [
]

# - **Download VAEs**
DOWNLOAD_VAE_LIST = [
    'https://huggingface.co/madebyollin/sdxl-vae-fp16-fix/resolve/main/sdxl.vae.safetensors?download=true',
    'https://huggingface.co/nubby/blessed-sdxl-vae-fp16-fix/resolve/main/sdxl_vae-fp16fix-c-1.1-b-0.5.safetensors?download=true',
    'https://huggingface.co/nubby/blessed-sdxl-vae-fp16-fix/resolve/main/sdxl_vae-fp16fix-blessed.safetensors?download=true',
    "https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.ckpt",
    "https://huggingface.co/stabilityai/sd-vae-ft-ema-original/resolve/main/vae-ft-ema-560000-ema-pruned.ckpt",
]

# - **Download LoRAs**
DOWNLOAD_LORA_LIST = [
]

# Download Embeddings
DOWNLOAD_EMBEDS = [
    'https://huggingface.co/datasets/Nerfgun3/bad_prompt/blob/main/bad_prompt_version2.pt',
    'https://huggingface.co/embed/negative/resolve/main/EasyNegativeV2.safetensors',
    'https://huggingface.co/embed/negative/resolve/main/bad-hands-5.pt',
]

DIRECTORY_MODELS = 'models'
DIRECTORY_LORAS = 'loras'
DIRECTORY_VAES = 'vaes'
DIRECTORY_EMBEDS = 'embedings'
DIRECTORY_EMBEDS_SDXL = 'embedings_xl'
DIRECTORY_EMBEDS_POSITIVE_SDXL = 'embedings_xl/positive'

directories = [DIRECTORY_MODELS, DIRECTORY_LORAS, DIRECTORY_VAES, DIRECTORY_EMBEDS, DIRECTORY_EMBEDS_SDXL, DIRECTORY_EMBEDS_POSITIVE_SDXL]
for directory in directories:
    os.makedirs(directory, exist_ok=True)

HF_LORA_PRIVATE_REPOS1 = ['John6666/loratest1', 'John6666/loratest3', 'John6666/loratest4', 'John6666/loratest6']
HF_LORA_PRIVATE_REPOS2 = ['John6666/loratest10', 'John6666/loratest11','John6666/loratest'] # to be sorted as 1 repo
HF_LORA_PRIVATE_REPOS = HF_LORA_PRIVATE_REPOS1 + HF_LORA_PRIVATE_REPOS2
HF_LORA_ESSENTIAL_PRIVATE_REPO = 'John6666/loratest1' # to be downloaded on run app
HF_VAE_PRIVATE_REPO = 'John6666/vaetest'
HF_SDXL_EMBEDS_NEGATIVE_PRIVATE_REPO = 'John6666/embeddingstest'
HF_SDXL_EMBEDS_POSITIVE_PRIVATE_REPO = 'John6666/embeddingspositivetest'