Giter Site home page Giter Site logo

Comments (1)

popovidis avatar popovidis commented on July 28, 2024
12:43:13-616120 INFO     Start training Dreambooth...                           
12:43:13-622362 INFO     Validating lr scheduler arguments...                   
12:43:13-625454 INFO     Validating optimizer arguments...                      
12:43:13-630413 INFO     Validating /workspace/kohya_ss/outputs/log existence   
                         and writability... SUCCESS                             
12:43:13-633533 INFO     Validating /workspace/kohya_ss/outputs/model existence 
                         and writability... SUCCESS                             
12:43:13-635718 INFO     Validating runwayml/stable-diffusion-v1-5 existence... 
                         SKIPPING: huggingface.co model                         
12:43:13-639497 INFO     Validating /workspace/kohya_ss/outputs/img existence...
                         SUCCESS                                                
12:43:13-644170 INFO     Folder 40_nnjl aesthetic style: 40 repeats found       
12:43:13-647465 INFO     Folder 40_nnjl aesthetic style: 0 images found         
12:43:13-649391 INFO     Folder 40_nnjl aesthetic style: 0 * 40 = 0 steps       
12:43:13-651204 INFO     Regulatization factor: 1                               
12:43:13-654225 INFO     Total steps: 0                                         
12:43:13-656585 INFO     Train batch size: 1                                    
12:43:13-658860 INFO     Gradient accumulation steps: 1                         
12:43:13-661399 INFO     Epoch: 10                                              
12:43:13-664664 INFO     Max train steps: 1600                                  
12:43:13-666684 INFO     lr_warmup_steps = 0                                    
12:43:13-683022 WARNING  Here is the trainer command as a reference. It will not
                         be executed:                                           
                                                                                
12:43:13-686054 INFO     /workspace/kohya_ss/venv/bin/accelerate launch         
                         --dynamo_backend no --dynamo_mode default              
                         --mixed_precision fp16 --num_processes 1 --num_machines
                         1 --num_cpu_threads_per_process 2                      
                         /workspace/kohya_ss/sd-scripts/train_db.py             
                         --config_file                                          
                         /workspace/kohya_ss/outputs/model/config_dreambooth-202
                         40722-124313.toml                                      

12:43:13-689859 INFO     Showing toml config file:                              
                         /workspace/kohya_ss/outputs/model/config_dreambooth-202
                         40722-124313.toml                                      

12:43:13-696744 INFO     bucket_no_upscale = true                               
                         bucket_reso_steps = 64                                 
                         cache_latents = true                                   
                         cache_latents_to_disk = true                           
                         caption_extension = ".txt"                             
                         clip_skip = 1                                          
                         dynamo_backend = "no"                                  
                         enable_bucket = true                                   
                         epoch = 10                                             
                         gradient_accumulation_steps = 1                        
                         gradient_checkpointing = true                          
                         huber_c = 0.1                                          
                         huber_schedule = "snr"                                 
                         learning_rate = 0.0003                                 
                         learning_rate_te = 1e-5                                
                         logging_dir = "/workspace/kohya_ss/outputs/log"        
                         loss_type = "l2"                                       
                         lr_scheduler = "constant"                              
                         lr_scheduler_args = []                                 
                         lr_scheduler_num_cycles = 1                            
                         lr_scheduler_power = 1                                 
                         max_bucket_reso = 2048                                 
                         max_data_loader_n_workers = 0                          
                         max_timestep = 1000                                    
                         max_token_length = 75                                  
                         max_train_steps = 1600                                 
                         min_bucket_reso = 256                                  
                         mixed_precision = "fp16"                               
                         multires_noise_discount = 0.3                          
                         noise_offset_type = "Original"                         
                         optimizer_args = [ "scale_parameter=False",            
                         "relative_step=False", "warmup_init=False",]           
                         optimizer_type = "Adafactor"                           
                         output_dir = "/workspace/kohya_ss/outputs/model"       
                         output_name = "nnjl-sd15-new-model"                    
                         pretrained_model_name_or_path =                        
                         "runwayml/stable-diffusion-v1-5"                       
                         prior_loss_weight = 1                                  
                         resolution = "1024,1024"                               
                         sample_prompts =                                       
                         "/workspace/kohya_ss/outputs/model/prompt.txt"         
                         sample_sampler = "euler_a"                             
                         save_every_n_epochs = 1                                
                         save_model_as = "safetensors"                          
                         save_precision = "fp16"                                
                         train_batch_size = 1                                   
                         train_data_dir = "/workspace/kohya_ss/outputs/img"     
                         xformers = true                                        
                                                                                
12:43:13-706015 INFO     end of toml config file:                               
                         /workspace/kohya_ss/outputs/model/config_dreambooth-202
                         40722-124313.toml

That is the training command

from kohya_ss.

Related Issues (20)

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.