Delete fluxtraining

fluxtraining/config_lora-20250412-151447.toml

@@ -1,64 +0,0 @@
-ae = "/workspace/flux_vae.safetensors"
-bucket_no_upscale = true
-bucket_reso_steps = 64
-cache_latents_to_disk = true
-cache_text_encoder_outputs_to_disk = true
-caption_extension = ".txt"
-clip_l = "/workspace/clip_l.safetensors"
-clip_skip = 1
-discrete_flow_shift = 3.0
-dynamo_backend = "no"
-enable_bucket = true
-epoch = 10
-full_bf16 = true
-gradient_accumulation_steps = 1
-gradient_checkpointing = true
-guidance_scale = 3.5
-huber_c = 0.1
-huber_scale = 1
-huber_schedule = "snr"
-logging_dir = "/workspace/train/log"
-loss_type = "l2"
-lr_scheduler = "cosine_with_restarts"
-lr_scheduler_args = []
-lr_scheduler_num_cycles = 1
-lr_scheduler_power = 1
-lr_warmup_steps = 0.1
-max_bucket_reso = 2048
-max_data_loader_n_workers = 0
-max_grad_norm = 1
-max_timestep = 1000
-max_train_steps = 500
-metadata_author = "Chris Hsu"
-metadata_description = "landscape for Overhead view"
-metadata_title = "landscapeOverhead_A6000"
-min_bucket_reso = 256
-mixed_precision = "bf16"
-model_prediction_type = "sigma_scaled"
-network_alpha = 8
-network_args = [ "train_double_block_indices=all", "train_single_block_indices=all",]
-network_dim = 4
-network_module = "networks.lora_flux"
-noise_offset_type = "Original"
-optimizer_args = []
-optimizer_type = "AdamW8bit"
-output_dir = "/workspace/train/model"
-output_name = "landscapeOverhead_A6000"
-pretrained_model_name_or_path = "/workspace/flux1-dev.safetensors"
-prior_loss_weight = 1
-resolution = "1024,1024"
-sample_every_n_epochs = 1
-sample_prompts = "/workspace/train/model/sample/prompt.txt"
-sample_sampler = "euler_a"
-save_every_n_epochs = 1
-save_model_as = "safetensors"
-save_precision = "bf16"
-t5xxl = "/workspace/t5xxl_fp16.safetensors"
-t5xxl_max_token_length = 512
-text_encoder_lr = [ 1e-5, 1e-5,]
-timestep_sampling = "sigma"
-train_batch_size = 2
-train_data_dir = "/workspace/train/img"
-unet_lr = 1e-5
-wandb_run_name = "landscapeOverhead_A6000"
-xformers = true

fluxtraining/download_caption_flux.py

@@ -1,25 +0,0 @@
-from datasets import load_dataset
-import os
-import shutil
-
-# 加載 HuggingFace 數據集
-
-dataset = load_dataset("pch11/0412-2")
-
-# 創建目錄
-output_dir = "/workspace/datasets/"
-os.makedirs(output_dir, exist_ok=True)
-
-# 下載並保存圖像和標題
-for i, item in enumerate(dataset["train"]):
-	# 保存圖像
-	image = item["image"]
-	image = image.convert("RGB")
-	image_path = os.path.join(output_dir, f"image_{i:06d}.jpg")
-	image.save(image_path)
-	
-	# 保存標題
-	caption = item["caption_Flux"]
-	caption_path = os.path.join(output_dir, f"image_{i:06d}.txt")
-	with open(caption_path, "w", encoding="utf-8") as f:
-		f.write(caption)

fluxtraining/landscapeOverhead_A6000_20250412-151447.json

@@ -1,228 +0,0 @@
-{
-  "LoRA_type": "Flux1",
-  "LyCORIS_preset": "full",
-  "adaptive_noise_scale": 0,
-  "additional_parameters": "",
-  "ae": "/workspace/flux_vae.safetensors",
-  "apply_t5_attn_mask": false,
-  "async_upload": false,
-  "block_alphas": "",
-  "block_dims": "",
-  "block_lr_zero_threshold": "",
-  "blocks_to_swap": 0,
-  "bucket_no_upscale": true,
-  "bucket_reso_steps": 64,
-  "bypass_mode": false,
-  "cache_latents": false,
-  "cache_latents_to_disk": true,
-  "caption_dropout_every_n_epochs": 0,
-  "caption_dropout_rate": 0,
-  "caption_extension": ".txt",
-  "clip_g": "",
-  "clip_g_dropout_rate": 0,
-  "clip_l": "/workspace/clip_l.safetensors",
-  "clip_skip": 1,
-  "color_aug": false,
-  "constrain": 0,
-  "conv_alpha": 1,
-  "conv_block_alphas": "",
-  "conv_block_dims": "",
-  "conv_dim": 1,
-  "cpu_offload_checkpointing": false,
-  "dataset_config": "",
-  "debiased_estimation_loss": false,
-  "decompose_both": false,
-  "dim_from_weights": false,
-  "discrete_flow_shift": 3,
-  "dora_wd": false,
-  "double_blocks_to_swap": 0,
-  "down_lr_weight": "",
-  "dynamo_backend": "no",
-  "dynamo_mode": "default",
-  "dynamo_use_dynamic": false,
-  "dynamo_use_fullgraph": false,
-  "enable_all_linear": false,
-  "enable_bucket": true,
-  "epoch": 10,
-  "extra_accelerate_launch_args": "",
-  "factor": -1,
-  "flip_aug": false,
-  "flux1_cache_text_encoder_outputs": false,
-  "flux1_cache_text_encoder_outputs_to_disk": true,
-  "flux1_checkbox": true,
-  "fp8_base": false,
-  "fp8_base_unet": false,
-  "full_bf16": true,
-  "full_fp16": false,
-  "gpu_ids": "",
-  "gradient_accumulation_steps": 1,
-  "gradient_checkpointing": true,
-  "guidance_scale": 3.5,
-  "highvram": false,
-  "huber_c": 0.1,
-  "huber_scale": 1,
-  "huber_schedule": "snr",
-  "huggingface_path_in_repo": "",
-  "huggingface_repo_id": "",
-  "huggingface_repo_type": "",
-  "huggingface_repo_visibility": "",
-  "huggingface_token": "",
-  "img_attn_dim": "",
-  "img_mlp_dim": "",
-  "img_mod_dim": "",
-  "in_dims": "",
-  "ip_noise_gamma": 0,
-  "ip_noise_gamma_random_strength": false,
-  "keep_tokens": 0,
-  "learning_rate": 1e-05,
-  "log_config": false,
-  "log_tracker_config": "",
-  "log_tracker_name": "",
-  "log_with": "",
-  "logging_dir": "/workspace/train/log",
-  "logit_mean": 0,
-  "logit_std": 1,
-  "loraplus_lr_ratio": 0,
-  "loraplus_text_encoder_lr_ratio": 0,
-  "loraplus_unet_lr_ratio": 0,
-  "loss_type": "l2",
-  "lowvram": false,
-  "lr_scheduler": "cosine_with_restarts",
-  "lr_scheduler_args": "",
-  "lr_scheduler_num_cycles": 1,
-  "lr_scheduler_power": 1,
-  "lr_scheduler_type": "",
-  "lr_warmup": 10,
-  "lr_warmup_steps": 0,
-  "main_process_port": 0,
-  "masked_loss": false,
-  "max_bucket_reso": 2048,
-  "max_data_loader_n_workers": 0,
-  "max_grad_norm": 1,
-  "max_resolution": "1024,1024",
-  "max_timestep": 1000,
-  "max_token_length": 225,
-  "max_train_epochs": 0,
-  "max_train_steps": 0,
-  "mem_eff_attn": false,
-  "mem_eff_save": false,
-  "metadata_author": "Chris Hsu",
-  "metadata_description": "landscape for Overhead view",
-  "metadata_license": "",
-  "metadata_tags": "",
-  "metadata_title": "landscapeOverhead_A6000",
-  "mid_lr_weight": "",
-  "min_bucket_reso": 256,
-  "min_snr_gamma": 0,
-  "min_timestep": 0,
-  "mixed_precision": "bf16",
-  "mode_scale": 1.29,
-  "model_list": "custom",
-  "model_prediction_type": "sigma_scaled",
-  "module_dropout": 0,
-  "multi_gpu": false,
-  "multires_noise_discount": 0.3,
-  "multires_noise_iterations": 0,
-  "network_alpha": 8,
-  "network_dim": 4,
-  "network_dropout": 0,
-  "network_weights": "",
-  "noise_offset": 0,
-  "noise_offset_random_strength": false,
-  "noise_offset_type": "Original",
-  "num_cpu_threads_per_process": 2,
-  "num_machines": 1,
-  "num_processes": 1,
-  "optimizer": "AdamW8bit",
-  "optimizer_args": "",
-  "output_dir": "/workspace/train/model",
-  "output_name": "landscapeOverhead_A6000",
-  "persistent_data_loader_workers": false,
-  "pos_emb_random_crop_rate": 0,
-  "pretrained_model_name_or_path": "/workspace/flux1-dev.safetensors",
-  "prior_loss_weight": 1,
-  "random_crop": false,
-  "rank_dropout": 0,
-  "rank_dropout_scale": false,
-  "reg_data_dir": "",
-  "rescaled": false,
-  "resume": "",
-  "resume_from_huggingface": "",
-  "sample_every_n_epochs": 1,
-  "sample_every_n_steps": 0,
-  "sample_prompts": "perspective view of a carbon-neutral park, blending nature and technology, diverse flora and fauna, vibrant community spaces, sustainable design, perspective view, detailed environment. --w 1024 --h 768 --l 7.0\n\nperspective view of landscape of a carbon-neutral park, ecological education area, walking and biking trails, artificial lake with wildlife, community interaction, nature-inspired gardens, renewable energy installations, perspective drawing, vivid colors. --w 1024 --h 768 --l 7.0\n\nperspective view of a sustainable park, biodiversity gardens, innovative water management systems, people enjoying recreational activities, artistic landscape design, eco-friendly facilities, on a sunny day, harmonious environment. --w 1024 --h 768 --l 7.0",
-  "sample_sampler": "euler_a",
-  "save_clip": false,
-  "save_every_n_epochs": 1,
-  "save_every_n_steps": 0,
-  "save_last_n_epochs": 0,
-  "save_last_n_epochs_state": 0,
-  "save_last_n_steps": 0,
-  "save_last_n_steps_state": 0,
-  "save_model_as": "safetensors",
-  "save_precision": "bf16",
-  "save_state": false,
-  "save_state_on_train_end": false,
-  "save_state_to_huggingface": false,
-  "save_t5xxl": false,
-  "scale_v_pred_loss_like_noise_pred": false,
-  "scale_weight_norms": 0,
-  "sd3_cache_text_encoder_outputs": false,
-  "sd3_cache_text_encoder_outputs_to_disk": false,
-  "sd3_checkbox": false,
-  "sd3_clip_l": "",
-  "sd3_clip_l_dropout_rate": 0,
-  "sd3_disable_mmap_load_safetensors": false,
-  "sd3_enable_scaled_pos_embed": false,
-  "sd3_fused_backward_pass": false,
-  "sd3_t5_dropout_rate": 0,
-  "sd3_t5xxl": "",
-  "sd3_text_encoder_batch_size": 1,
-  "sdxl": false,
-  "sdxl_cache_text_encoder_outputs": false,
-  "sdxl_no_half_vae": false,
-  "seed": 0,
-  "shuffle_caption": false,
-  "single_blocks_to_swap": 0,
-  "single_dim": "",
-  "single_mod_dim": "",
-  "skip_cache_check": false,
-  "split_mode": false,
-  "split_qkv": false,
-  "stop_text_encoder_training": 0,
-  "t5xxl": "/workspace/t5xxl_fp16.safetensors",
-  "t5xxl_device": "",
-  "t5xxl_dtype": "bf16",
-  "t5xxl_lr": 1e-05,
-  "t5xxl_max_token_length": 512,
-  "text_encoder_lr": 1e-05,
-  "timestep_sampling": "sigma",
-  "train_batch_size": 2,
-  "train_blocks": "all",
-  "train_data_dir": "/workspace/train/img",
-  "train_double_block_indices": "all",
-  "train_norm": false,
-  "train_on_input": true,
-  "train_single_block_indices": "all",
-  "train_t5xxl": false,
-  "training_comment": "",
-  "txt_attn_dim": "",
-  "txt_mlp_dim": "",
-  "txt_mod_dim": "",
-  "unet_lr": 1e-05,
-  "unit": 1,
-  "up_lr_weight": "",
-  "use_cp": false,
-  "use_scalar": false,
-  "use_tucker": false,
-  "v2": false,
-  "v_parameterization": false,
-  "v_pred_like_loss": 0,
-  "vae": "",
-  "vae_batch_size": 0,
-  "wandb_api_key": "",
-  "wandb_run_name": "",
-  "weighted_captions": false,
-  "weighting_scheme": "logit_normal",
-  "xformers": "xformers"
-}

fluxtraining/prompt.txt

@@ -1,3 +0,0 @@
-A sustainable park landscape designed for carbon neutrality and stormwater management, featuring integrated bioswales, terraced rain gardens with diverse native wetland plants, permeable pavements with warm-toned gravel, open green lawns for passive recreation, wooden benches shaded by deciduous trees, winding walking trails with natural stone edging, birds and butterflies in the background, bright sunny daylight, one-point perspective. --w 1024 --h 768 --l 7.0
-Eco-friendly park, small lighting poles along curving gravel walkways, native wildflower meadows with seasonal color shifts, small natural ponds with reeds and dragonflies, shaded picnic areas with wooden shelters and compost bins, wide open space in Perspective view, clear blue sky in afternoon light. --w 1024 --h 768 --l 7.0
-Perspective view of a low-carbon community park featuring curved natural walking trails, densely planted native shrubs and grasses, small open play areas for children, insect hotels and pollinator gardens, interpretive eco signage along the trail, composting station, lush tree canopy with filtered sunlight, morning glow, immersive and educational environment. --w 1024 --h 768 --l 7.0

fluxtraining/trainFlux.sh

@@ -1,31 +0,0 @@
-#使用 bash指令執行這個腳本 ---> bash trainFlux.sh  
-#!/bin/bash
-cd /workspace
-wget --trust-server-name --content-disposition https://huggingface.co/datasets/pch11/flux-train00/tree/main/fluxtraining/download_caption_flux.py
-wget --trust-server-name --content-disposition https://huggingface.co/datasets/pch11/flux-train00/tree/main/fluxtraining/landscapeOverhead_A6000_20250412-151447.json
-python -m venv env 
-source /workspace/env/bin/activate
-pip install datasets huggingface_hub Pillow
-python download_caption_flux.py
-deactivate
-cd /workspace
-git clone https://github.com/bmaltais/kohya_ss
-cd kohya_ss
-#預設是訓練SD1.5, SDXL的版本，如果要訓練SD3, Flux 必須切換至sd3-flux.1
-git branch -a
-git checkout sd3-flux.1
-./setup-runpod.sh
-./gui.sh --share --headless
-
-'''
-另開 terminal 視窗，把以下內容貼上並按下enter執行，直接下載訓練Flux LoRA必須的相關模型(節省時間)
-
-wget --trust-server-name --content-disposition  https://huggingface.co/realung/flux1-dev.safetensors/resolve/main/flux1-dev.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/StableDiffusionVN/Flux/resolve/main/Vae/flux_vae.safetensors
-'''
-#./gui.sh --share --headless --config "/workspace/config.toml"

fluxtraining/trainFlux_CLI.sh

@@ -1,58 +0,0 @@
-#使用 bash指令執行這個腳本 ---> bash kohya_ss.sh  
-#!/bin/bash
-wget --trust-server-name --content-disposition https://huggingface.co/datasets/pch11/flux-train00/tree/main/fluxtraining/download_caption_flux.py
-wget --trust-server-name --content-disposition https://huggingface.co/datasets/pch11/flux-train00/tree/main/fluxtraining/config_lora-20250412-151447.toml
-wget --trust-server-name --content-disposition https://huggingface.co/datasets/pch11/flux-train00/tree/main/fluxtraining/prompt.txt
-cd /workspace
-python -m venv env 
-source /workspace/env/bin/activate
-pip install datasets huggingface_hub Pillow
-python download_caption_flux.py
-deactivate
-cd /workspace
-git clone https://github.com/kohya-ss/sd-scripts
-cd sd-scripts
-#預設是訓練SD1.5, SDXL的版本，如果要訓練SD3, Flux 必須切換至sd3
-git branch -a
-git checkout sd3
-
-
-
-'''
-另開 terminal 視窗，把以下內容貼上並按下enter執行，直接下載訓練Flux LoRA必須的相關模型(節省時間)
-
-wget --trust-server-name --content-disposition  https://huggingface.co/realung/flux1-dev.safetensors/resolve/main/flux1-dev.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp16.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors
-
-wget --trust-server-name --content-disposition https://huggingface.co/StableDiffusionVN/Flux/resolve/main/Vae/flux_vae.safetensors
-
-
-'''
-
-cd /workspace/sd-scripts
-python -m venv env 
-source /workspace/sd-scripts/env/bin/activate
-pip3 install torch==2.4.0 torchvision==0.19.0 --index-url https://download.pytorch.org/whl/cu124
-pip install --upgrade -r requirements.txt
-
-
-mkdir /workspace/train/
-mkdir /workspace/train/img
-mkdir /workspace/train/log
-mkdir /workspace/train/model
-mkdir /workspace/train/model/sample
-cp -R /workspace/datasets /workspace/train/img/1_overhedlandscape
-cp /workspace/prompt.txt /workspace/train/model/sample/prompt.txt
-
-'''
-訓練的資料夾重複數設為1
-accelerate launch --multi_gpu --dynamo_backend no --dynamo_mode default --mixed_precision bf16 --gpu_ids 0,1,2 --num_processes 3 --num_machines 1 --num_cpu_threads_per_process 2 flux_train_network.py --config_file /workspace/config_lora_b8base_flux.toml
-
-tensorboard --host 0.0.0.0 --logdir=/workspace/train/log
-'''
-
-cd /workspace/sd-scripts
-source /workspace/sd-scripts/env/bin/activate