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#Settings similar to the default ones on the Disco Diffusion Colab Notebook (https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb)
[model_list]
model_list = ['openimages']
[basic_settings]
#Perceptor things
width = 512
height = 512
clip_guidance_scale = 5000
step = 100
aesthetic_loss_scale = 100
augment_cuts=True
#Init image settings
starting_timestep = 0.9
init_scale = 1000
mask_scale = 0
[advanced_settings]
#Add CLIP Guidance and all the flavors or just run normal Latent Diffusion
use_secondary_model=False
use_original_as_clip_in=0
lerp=True
#Cut settings
cut_overview = [12]*400+[4]*600
cut_innercut = [4]*400+[12]*600
cut_ic_pow = 1
cut_icgray_p = [0.2]*100 + [0]*1200
cutn_batches = 4
sat_index = [0]*1040
range_index = [1500000]*100 + [0]*1000
eta_index = [0.8]*100
active_function = "softsign"
tv_scales = [150]*4
tv_scale_2 = []
n_batches = 1
unified_cutouts = True
ns_cutn = 10
step_enhance=True
mid_point = 0.6
steps_pow = 1
#cfg_scale only for cc12m_cfg
cfg_scale = 3
#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 = [2400]*1000
#Apply symmetric loss (force simmetry to your results)
symmetric_loss_scale = 0
#Grad and mag 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=0.1
mag_mul = 10
clamp_start_=0
clamp_index = [0.05]*200 + [0.04]*800
#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 = 6
#Internal upscaler settings
activate_upscaler = False
upscale_model = "yfcc_2"
multiply_image_size_by = 2
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