#Optimized to run on Colab Free
    #This settings file can be loaded back to Latent Majesty Diffusion. If you like your setting consider sharing it to the settings library at https://github.com/multimodalart/MajestyDiffusion
    [clip_list]
    perceptors = ['[clip - mlfoundations - ViT-B-16--openai]', '[clip - mlfoundations - ViT-B-32--laion2b_e16]', '[clip - mlfoundations - ViT-B-16--laion400m_e32]']
    
    [basic_settings]
    #Perceptor things
    
    latent_diffusion_guidance_scale = 2
    clip_guidance_scale = 5000
    aesthetic_loss_scale = 500
    augment_cuts=True

    #Init image settings
    starting_timestep = 0.9
    init_scale = 1000 
    init_brightness = 0.0
    init_noise = 0.6

    [advanced_settings]
    #Add CLIP Guidance and all the flavors or just run normal Latent Diffusion
    use_cond_fn = True

    #Custom schedules for cuts. Check out the schedules documentation here
    custom_schedule_setting = [[200, 1000, 8], [50, 200, 5]]

    #Cut settings
    clamp_index = [0.8]*1000
    cut_overview = [8]*500 + [4]*500
    cut_innercut = [0]*500 + [4]*500
    cut_ic_pow = 0.1
    cut_icgray_p = [0.1]*300 + [0]*1000
    cutn_batches = 1
    range_index = [0]*1300
    active_function = 'softsign'
    tv_scales = [1200]*1 + [600]*3
    latent_tv_loss = True

    #If you uncomment this line you can schedule the CLIP guidance across the steps. Otherwise the clip_guidance_scale will be used
    clip_guidance_schedule = [5000]*1000
    
    #Apply symmetric loss (force simmetry to your results)
    symmetric_loss_scale = 0 

    #Latent Diffusion Advanced Settings
    #Use when latent upscale to correct satuation problem
    scale_div = 0.5
    #Magnify grad before clamping by how many times
    opt_mag_mul = 15
    opt_ddim_eta = 1.4
    opt_eta_end = 1.0
    opt_temperature = 0.975

    #Grad advanced settings
    grad_center = False
    #Lower value result in more coherent and detailed result, higher value makes it focus on more dominent concept
    grad_scale=0.5

    #Init image advanced settings
    init_rotate=False
    mask_rotate=False
    init_magnitude = 0.15

    #More settings
    RGB_min = -0.95
    RGB_max = 0.95
    #How to pad the image with cut_overview
    padargs = {'mode': 'constant', 'value': -1} 
    flip_aug=False
    cc = 60
    
    #Deactivating new stuff from 1.5
    score_modifier = False
    compress_steps = 0
    punish_steps = 0