constants.py

import torch

# =======================================================

NOISE_SCHEDULES = {
    "linear",
    "scaled_linear",
    "squaredcos_cap_v2",
}

PREDICT_TYPE = {
    "epsilon",
    "sample",
    "v_prediction",
}

# =======================================================

NEGATIVE_PROMPT = "错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，"

# =======================================================
TRT_MAX_BATCH_SIZE = 1
TRT_MAX_WIDTH = 1280
TRT_MAX_HEIGHT = 1280

# =======================================================
# Constants about models
# =======================================================

VAE_EMA_PATH = "ckpts/t2i/sdxl-vae-fp16-fix"
TOKENIZER = "ckpts/t2i/tokenizer"
TEXT_ENCODER = "ckpts/t2i/clip_text_encoder"
T5_ENCODER = {
    "MT5": "ckpts/t2i/mt5",
    "attention_mask": True,
    "layer_index": -1,
    "attention_pool": True,
    "torch_dtype": torch.float16,
    "learnable_replace": True,
}

SAMPLER_FACTORY = {
    "ddpm": {
        "scheduler": "DDPMScheduler",
        "name": "DDPM",
        "kwargs": {
            "steps_offset": 1,
            "clip_sample": False,
            "clip_sample_range": 1.0,
            "beta_schedule": "scaled_linear",
            "beta_start": 0.00085,
            "beta_end": 0.02,
            "prediction_type": "v_prediction",
        },
    },
    "ddim": {
        "scheduler": "DDIMScheduler",
        "name": "DDIM",
        "kwargs": {
            "steps_offset": 1,
            "clip_sample": False,
            "clip_sample_range": 1.0,
            "beta_schedule": "scaled_linear",
            "beta_start": 0.00085,
            "beta_end": 0.02,
            "prediction_type": "v_prediction",
        },
    },
    "dpmms": {
        "scheduler": "DPMSolverMultistepScheduler",
        "name": "DPMMS",
        "kwargs": {
            "beta_schedule": "scaled_linear",
            "beta_start": 0.00085,
            "beta_end": 0.02,
            "prediction_type": "v_prediction",
            "trained_betas": None,
            "solver_order": 2,
            "algorithm_type": "dpmsolver++",
        },
    },
}