apolinario commited on
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4ddd995
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1 Parent(s): ec8745e

Add initial defaults

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Files changed (2) hide show
  1. default.cfg +75 -0
  2. disco_diffusion_defaults.cfg +72 -0
default.cfg ADDED
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+
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+ #Optimized to run on Colab Free
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+ #If you like your setting consider sharing it to the settings library at https://github.com/multimodalart/MajestyDiffusion
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+ [model_list]
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+ model_list = ['openimages']
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+
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+ [clip_list]
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+ perceptors = ['[clip - mlfoundations - ViT-B-16--openai]', '[clip - mlfoundations - ViT-B-32--laion2b_e16]']
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+
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+ [basic_settings]
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+ #Perceptor things
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+
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+ clip_guidance_scale = 2400
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+ step = 100
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+ aesthetic_loss_scale = 100
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+ augment_cuts=True
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+
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+ #Init image settings
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+ starting_timestep = 0.9
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+ init_scale = 1000
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+ mask_scale = 0
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+
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+ [advanced_settings]
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+ #Add CLIP Guidance and all the flavors or just run normal Latent Diffusion
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+
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+ use_secondary_model=False
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+ use_original_as_clip_in=0
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+ lerp=True
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+ #Cut settings
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+ cut_overview = [16]*1000
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+ cut_innercut = [0]*1200
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+ cut_ic_pow = 0.3
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+ cut_icgray_p = [0.2]*100 + [0]*1200
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+ cutn_batches = 2
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+ sat_index = [0]*1040
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+ range_index = [1500000]*100 + [0]*1000
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+ eta_index = [1.2]*100
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+ active_function = "softsign"
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+ tv_scales = [150]*4
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+ tv_scale_2 = []
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+ n_batches = 1
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+ unified_cutouts = True
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+ ns_cutn = 10
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+ step_enhance=True
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+ mid_point = 0.6
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+ steps_pow = 1
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+ #cfg_scale only for cc12m_cfg
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+ cfg_scale = 3
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+ #If you uncomment this line you can schedule the CLIP guidance across the steps. Otherwise the clip_guidance_scale will be used
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+ clip_guidance_schedule = [2400]*1000
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+
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+ #Apply symmetric loss (force simmetry to your results)
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+ symmetric_loss_scale = 0
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+
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+ #Grad and mag advanced settings
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+ grad_center = False
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+ #Lower value result in more coherent and detailed result, higher value makes it focus on more dominent concept
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+ grad_scale=0.1
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+ mag_mul = 10
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+ clamp_start_=0
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+ clamp_index = [0.05]*200 + [0.04]*800
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+
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+ #More settings
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+ RGB_min = -0.95
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+ RGB_max = 0.95
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+ #How to pad the image with cut_overview
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+ padargs = {'mode': 'constant', 'value': -1}
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+ flip_aug=False
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+ cc = 6
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+
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+ #Internal upscaler settings
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+ activate_upscaler = False
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+ upscale_model = "yfcc_2"
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+ multiply_image_size_by = 2
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+
disco_diffusion_defaults.cfg ADDED
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+
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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)
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+ [model_list]
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+ model_list = ['openimages']
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+
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+ [basic_settings]
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+ #Perceptor things
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+ width = 512
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+ height = 512
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+ clip_guidance_scale = 5000
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+ step = 100
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+ aesthetic_loss_scale = 100
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+ augment_cuts=True
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+
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+ #Init image settings
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+ starting_timestep = 0.9
17
+ init_scale = 1000
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+ mask_scale = 0
19
+
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+ [advanced_settings]
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+ #Add CLIP Guidance and all the flavors or just run normal Latent Diffusion
22
+
23
+ use_secondary_model=False
24
+ use_original_as_clip_in=0
25
+ lerp=True
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+ #Cut settings
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+ cut_overview = [12]*400+[4]*600
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+ cut_innercut = [4]*400+[12]*600
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+ cut_ic_pow = 1
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+ cut_icgray_p = [0.2]*100 + [0]*1200
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+ cutn_batches = 4
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+ sat_index = [0]*1040
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+ range_index = [1500000]*100 + [0]*1000
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+ eta_index = [0.8]*100
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+ active_function = "softsign"
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+ tv_scales = [150]*4
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+ tv_scale_2 = []
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+ n_batches = 1
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+ unified_cutouts = True
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+ ns_cutn = 10
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+ step_enhance=True
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+ mid_point = 0.6
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+ steps_pow = 1
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+ #cfg_scale only for cc12m_cfg
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+ cfg_scale = 3
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+ #If you uncomment this line you can schedule the CLIP guidance across the steps. Otherwise the clip_guidance_scale will be used
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+ clip_guidance_schedule = [2400]*1000
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+
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+ #Apply symmetric loss (force simmetry to your results)
50
+ symmetric_loss_scale = 0
51
+
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+ #Grad and mag advanced settings
53
+ grad_center = False
54
+ #Lower value result in more coherent and detailed result, higher value makes it focus on more dominent concept
55
+ grad_scale=0.1
56
+ mag_mul = 10
57
+ clamp_start_=0
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+ clamp_index = [0.05]*200 + [0.04]*800
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+
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+ #More settings
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+ RGB_min = -0.95
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+ RGB_max = 0.95
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+ #How to pad the image with cut_overview
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+ padargs = {'mode': 'constant', 'value': -1}
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+ flip_aug=False
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+ cc = 6
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+
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+ #Internal upscaler settings
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+ activate_upscaler = False
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+ upscale_model = "yfcc_2"
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+ multiply_image_size_by = 2
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+