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Qwen-Image-SynthSat-v1.0-warmup-stage2
PJMixers-Images/Qwen-Image-SynthSat-v1.0-warmup-stage2
Qwen-Image-SynthSat-v1.0-warmup-stage2 is a machine learning model from PJMixers-Images. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as cc-by-4.0.
The idea of the "warmup stages" is to sort of pretrain the LoRA weights so that they can be further trained with more refined data, but maybe have a boost in overall knowledge and stuff.
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Updated Oct 17, 2025
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- License
- cc-by-4.0
- Access
- Public
- Created
- Oct 16, 2025
- Updated
- Oct 17, 2025
- SHA
- 10c0a537
Base models
Model card
From the Hugging Face model README
Qwen-Image-SynthSat-v1.0-warmup-stage2
The idea of the "warmup stages" is to sort of pretrain the LoRA weights so that they can be further trained with more refined data, but maybe have a boost in overall knowledge and stuff.
This stage is 640p, re-using the weights from stage1.
Training Stages
- SynthSat-v1.0-warmup-stage1 is 256p only, using freshly initialized weights.
- SynthSat-v1.0-warmup-stage2 is 640p only, re-using the weights from SynthSat-v1.0-warmup-stage1.
- SynthSat-v1.0-warmup-stage2.5-nsfw is 256p+640p, re-using the weights from SynthSat-v1.0-warmup-stage2-step1400, using only NSFW sources (which is a mix of NSFW+SFW).
- Next stage is either warmup-stage3 doing 640p+1328p or v1.0 doing 640p+1328p+1536p on a more refined dataset.
Current Stage Details
INFO:musubi_tuner.hv_train_network:Using timestep bucketing. Number of buckets: 10
INFO:musubi_tuner.hv_train_network:Load dataset config from /media/xzuyn/Toshiba1/musubi-stuff/dataset_configs/SynthSat-v1.0-warmup-stage2.toml
INFO:musubi_tuner.dataset.image_video_dataset:glob images in /media/xzuyn/Toshiba1/000_SynthSatWarmup
INFO:musubi_tuner.dataset.image_video_dataset:found 27666 images
INFO:musubi_tuner.dataset.config_utils:[Dataset 0]
is_image_dataset: True
resolution: (640, 640)
batch_size: 8
num_repeats: 1
caption_extension: ".txt"
enable_bucket: True
bucket_no_upscale: True
cache_directory: "/media/xzuyn/NVMe/LClones/musubi-tuner/dataset_cache/SynthSat-v1.0-warmup-stage2-640"
debug_dataset: False
image_directory: "/media/xzuyn/Toshiba1/000_SynthSatWarmup"
image_jsonl_file: "None"
fp_latent_window_size: 9
fp_1f_clean_indices: None
fp_1f_target_index: None
fp_1f_no_post: False
flux_kontext_no_resize_control: False
qwen_image_edit_no_resize_control: False
qwen_image_edit_control_resolution: None
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (320, 320), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (320, 384), count: 1
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (560, 720), count: 1000
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (672, 608), count: 96
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (704, 496), count: 1
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (976, 416), count: 12
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1024, 400), count: 8
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INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1152, 352), count: 1
INFO:musubi_tuner.dataset.image_video_dataset:bucket: (1280, 320), count: 4
INFO:musubi_tuner.dataset.image_video_dataset:total batches: 3593
INFO:musubi_tuner.hv_train_network:preparing accelerator
accelerator device: cuda
INFO:musubi_tuner.hv_train_network:DiT precision: torch.bfloat16, weight precision: None
INFO:musubi_tuner.hv_train_network:Loading DiT model from /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/qwen_image_bf16.safetensors
INFO:musubi_tuner.qwen_image.qwen_image_model:Creating QwenImageTransformer2DModel
INFO:musubi_tuner.qwen_image.qwen_image_model:Loading DiT model from /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/qwen_image_bf16.safetensors, device=cpu
INFO:musubi_tuner.utils.lora_utils:Loading model files: ['/media/xzuyn/NVMe/LClones/musubi-tuner/source_models/qwen_image_bf16.safetensors']
INFO:musubi_tuner.utils.lora_utils:Loading state dict with FP8 optimization. Dtype of weight: None, hook enabled: False
Loading qwen_image_bf16.safetensors: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1933/1933 [02:46<00:00, 11.59key/s]
INFO:musubi_tuner.modules.fp8_optimization_utils:Number of optimized Linear layers: 840
INFO:musubi_tuner.modules.fp8_optimization_utils:Number of monkey-patched Linear layers: 840
INFO:musubi_tuner.qwen_image.qwen_image_model:Loaded DiT model from /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/qwen_image_bf16.safetensors, info=<All keys matched successfully>
INFO:musubi_tuner.hv_train_network:enable swap 12 blocks to CPU from device: cuda
QwenModel: Block swap enabled. Swapping 12 blocks out of 60 blocks. Supports backward: True
import network module: networks.lora_qwen_image
INFO:musubi_tuner.networks.lora:create LoRA network. base dim (rank): 16, alpha: 4.0
INFO:musubi_tuner.networks.lora:neuron dropout: p=0.125, rank dropout: p=0.0, module dropout: p=0.0
INFO:musubi_tuner.networks.lora:create LoRA for U-Net/DiT: 840 modules.
INFO:musubi_tuner.networks.lora:enable LoRA for U-Net: 840 modules
load network weights from /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/Qwen-Image-SynthSat-v1.0-warmup-stage1.safetensors: <All keys matched successfully>
QwenModel: Gradient checkpointing enabled. Activation CPU offloading: True
prepare optimizer, data loader etc.
INFO:musubi_tuner.hv_train_network:use came_pytorch.CAME | {'weight_decay': 0.01, 'enable_8bit': True, 'enable_cautious': True, 'enable_stochastic_rounding': True}
==== CAME Modifications ====
- Stochastic Rounding enabled.
- Cautious Masking enabled.
- 8-bit enabled: block_size=2048, min_8bit_size=16384.
==== CAME Modifications ====
override steps. steps for 1 epochs is / 指定エポックまでのステップ数: 3593
INFO:musubi_tuner.hv_train_network:preparing fused backward pass stuff
running training / 学習開始
num train items / 学習画像、動画数: 27666
num batches per epoch / 1epochのバッチ数: 3593
num epochs / epoch数: 1
batch size per device / バッチサイズ: 8
gradient accumulation steps / 勾配を合計するステップ数 = 1
total optimization steps / 学習ステップ数: 3593
INFO:musubi_tuner.hv_train_network:set DiT model name for metadata: /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/qwen_image_bf16.safetensors
INFO:musubi_tuner.hv_train_network:set VAE model name for metadata: /media/xzuyn/NVMe/LClones/musubi-tuner/source_models/vae_diffusion_pytorch_model.safetensors
- License
- cc-by-4.0
- Created
- Oct 16, 2025
- Updated
- Oct 17, 2025