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latent-majesty-diffusion-settings / default.cfg

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	#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://huggingface.co/datasets/multimodalart/latent-majesty-diffusion-settings
	[basic_settings]
	#Perceptor things
	latent_diffusion_guidance_scale = 1.75
	clip_guidance_scale = 5000
	aesthetic_loss_scale = 400
	augment_cuts=True

	#Init image settings
	starting_timestep = 0.9
	init_scale = 1000
	init_brightness = 0.0
	init_noise = 0.57

	[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 = [[50, 1000, 8], 'gfpgan:1.5', [5, 200, 5]]

	#Cut settings
	clamp_index = [2, 1.6]
	cut_overview = [8]500 + [4]500
	cut_innercut = [0]500 + [4]500
	cut_blur_n = [0]*1300
	cut_blur_kernel = 3
	cut_ic_pow = 0.5
	cut_icgray_p = [0.1]300 + [0]1000
	cutn_batches = 1
	range_index = [0]200 + [3]400 + [0]*1000
	active_function = "softsign"
	ths_method= "softsign"
	tv_scales = [50]1 + [20]1 + [0]*2

	#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 = 1
	#Magnify grad before clamping by how many times
	opt_mag_mul = 15
	opt_ddim_eta = 1.3
	opt_eta_end = 1
	opt_temperature = 0.95

	#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=0.25
	score_modifier = True
	threshold_percentile = 0.9
	threshold = 1.2
	var_index = [1]*1000
	var_range = 0.5
	mean_index = [10]*1000
	mean_range = 0.2

	#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

	#Experimental aesthetic embeddings, work only with OpenAI ViT-B/32 and ViT-L/14
	experimental_aesthetic_embeddings = True
	#How much you want this to influence your result
	experimental_aesthetic_embeddings_weight = 0.3
	#9 are good aesthetic embeddings, 0 are bad ones
	experimental_aesthetic_embeddings_score = 8

	# For fun dont change except if you really know what your are doing
	grad_blur = False
	compress_steps = 0
	compress_factor = 0.1
	punish_steps = 0
	punish_factor = 0.8