Upload 2 files
Browse files- trainFlux/config_lora_bf16_flux.toml +68 -0
- trainFlux/prompt.txt +3 -0
trainFlux/config_lora_bf16_flux.toml
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pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
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ae = "/workspace/flux_vae.safetensors"
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t5xxl = "/workspace/t5xxl_fp16.safetensors"
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clip_l = "/workspace/clip_l.safetensors"
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apply_t5_attn_mask = false
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bucket_no_upscale = true
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bucket_reso_steps = 64
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cache_latents_to_disk = true
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cache_text_encoder_outputs_to_disk = true
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caption_extension = ".txt"
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clip_skip = 1
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discrete_flow_shift = 3.0
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dynamo_backend = "no"
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enable_bucket = true
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epoch = 10
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fp8_base = false
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full_bf16 = true
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full_fp16 = false
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gradient_accumulation_steps = 1
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gradient_checkpointing = true
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guidance_scale = 3.5
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huber_c = 0.1
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huber_scale = 1
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huber_schedule = "snr"
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log_with = "tensorboard"
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logging_dir = "/workspace/train/log"
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loss_type = "l2"
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learning_rate = 0.00005
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lr_scheduler = "cosine_with_restarts"
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lr_scheduler_args = []
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lr_scheduler_num_cycles = 1
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lr_scheduler_power = 1
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lr_warmup_steps = 0.1
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max_bucket_reso = 2048
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max_data_loader_n_workers = 0
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max_grad_norm = 1
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max_train_epochs = 20
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max_train_steps = 600
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metadata_author = "Chris Hsu"
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metadata_description = "Flux-landscapeOverhead-config-V1"
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metadata_title = "Flux-landscapeOverhead-config-V1"
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min_bucket_reso = 1024
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mixed_precision = "bf16"
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model_prediction_type = "sigma_scaled"
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network_alpha = 8
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network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
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network_dim = 4
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network_module = "networks.lora_flux"
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network_train_unet_only = true
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noise_offset_type = "Original"
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optimizer_args = []
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optimizer_type = "AdamW8bit"
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output_dir = "/workspace/train/model"
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output_name = "LandscapeOverheadFlux1"
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prior_loss_weight = 1
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resolution = "1024,1024"
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sample_every_n_epochs = 1
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sample_prompts = "/workspace/train/model/sample/prompt.txt"
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sample_sampler = "euler_a"
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save_every_n_epochs = 1
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save_model_as = "safetensors"
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save_precision = "bf16"
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t5xxl_max_token_length = 512
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timestep_sampling = "sigma"
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train_batch_size = 2
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train_data_dir = "/workspace/train/img"
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wandb_run_name = "landscapeOverhead_A6000"
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xformers = true
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trainFlux/prompt.txt
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Detailed aerial watercolor rendering of a comprehensive landscape architecture master plan for an urban park development. The illustration showcases a minimalist curved cultural building with a distinctive concave gray roof as the focal architectural element, strategically positioned in relation to surrounding green spaces. The landscape design features an intricate network of wooden boardwalks and earth-toned pathways that create a flowing circulation system throughout the park, connecting various programmatic zones. --w 1536 --h 1024 --l 7.0
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A comprehensive bird's-eye perspective visualization illustrating an ambitious waterfront park development that exemplifies contemporary landscape architectural principles through its integration of spectacular ornamental displays, varied recreational spaces, and thoughtful visitor amenities. The illustration employs a vibrant watercolor technique with saturated color application that emphasizes the park's dramatic flowering meadows while maintaining clarity of spatial relationships.The composition reveals a sophisticated landscape organized around several key design strategies: expansive geometric fields of seasonal flowers in yellow, orange, pink, and red hues create a bold visual tapestry across the site, --w 1536 --h 1024 --l 7.0
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A sophisticated bird's-eye perspective visualization illustrating a comprehensive waterfront recreational development that exemplifies integrated master planning principles through its thoughtful orchestration of entertainment venues, landscape amenities, and contextual relationships. The rendering employs a refined watercolor technique with nuanced atmospheric effects, particularly evident in the dramatic sunset sky rendered in luminous pink and golden hues that create a distinctive sense of place while establishing the temporal context of twilight or early evening. --w 1536 --h 1024 --l 7.0
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