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End of training

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  1. .gitattributes +4 -0
  2. README.md +97 -0
  3. checkpoint-10000/optimizer.bin +3 -0
  4. checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-10000/random_states_0.pkl +3 -0
  6. checkpoint-10000/scheduler.bin +3 -0
  7. checkpoint-2000/optimizer.bin +3 -0
  8. checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-2000/random_states_0.pkl +3 -0
  10. checkpoint-2000/scheduler.bin +3 -0
  11. checkpoint-4000/optimizer.bin +3 -0
  12. checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
  13. checkpoint-4000/random_states_0.pkl +3 -0
  14. checkpoint-4000/scheduler.bin +3 -0
  15. checkpoint-6000/optimizer.bin +3 -0
  16. checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
  17. checkpoint-6000/random_states_0.pkl +3 -0
  18. checkpoint-6000/scheduler.bin +3 -0
  19. checkpoint-8000/optimizer.bin +3 -0
  20. checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
  21. checkpoint-8000/random_states_0.pkl +3 -0
  22. checkpoint-8000/scheduler.bin +3 -0
  23. image_0.png +3 -0
  24. image_1.png +3 -0
  25. image_2.png +3 -0
  26. image_3.png +3 -0
  27. logs/dreambooth-lora-sd-xl/1726705516.2442675/events.out.tfevents.1726705516.13606eae30a7.3902.1 +3 -0
  28. logs/dreambooth-lora-sd-xl/1726705516.2463326/hparams.yml +81 -0
  29. logs/dreambooth-lora-sd-xl/1726705617.8203127/events.out.tfevents.1726705617.13606eae30a7.4632.1 +3 -0
  30. logs/dreambooth-lora-sd-xl/1726705617.822517/hparams.yml +81 -0
  31. logs/dreambooth-lora-sd-xl/1726705666.8364224/events.out.tfevents.1726705666.13606eae30a7.4870.1 +3 -0
  32. logs/dreambooth-lora-sd-xl/1726705666.838517/hparams.yml +81 -0
  33. logs/dreambooth-lora-sd-xl/1726705725.5310574/events.out.tfevents.1726705725.13606eae30a7.5160.1 +3 -0
  34. logs/dreambooth-lora-sd-xl/1726705725.5331442/hparams.yml +81 -0
  35. logs/dreambooth-lora-sd-xl/1726737119.8679888/events.out.tfevents.1726737119.13606eae30a7.132512.1 +3 -0
  36. logs/dreambooth-lora-sd-xl/1726737119.8701186/hparams.yml +81 -0
  37. logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705516.13606eae30a7.3902.0 +3 -0
  38. logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705617.13606eae30a7.4632.0 +3 -0
  39. logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705666.13606eae30a7.4870.0 +3 -0
  40. logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705725.13606eae30a7.5160.0 +3 -0
  41. logs/dreambooth-lora-sd-xl/events.out.tfevents.1726737119.13606eae30a7.132512.0 +3 -0
  42. lor-style-training-v5.safetensors +3 -0
  43. lor-style-training-v5_emb.safetensors +3 -0
  44. pytorch_lora_weights.safetensors +3 -0
.gitattributes CHANGED
@@ -33,3 +33,7 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
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  *.zip filter=lfs diff=lfs merge=lfs -text
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  *.zst filter=lfs diff=lfs merge=lfs -text
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  *tfevents* filter=lfs diff=lfs merge=lfs -text
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+ image_0.png filter=lfs diff=lfs merge=lfs -text
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+ image_1.png filter=lfs diff=lfs merge=lfs -text
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+ image_2.png filter=lfs diff=lfs merge=lfs -text
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+ image_3.png filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ tags:
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+ - stable-diffusion-xl
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+ - stable-diffusion-xl-diffusers
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+ - diffusers-training
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+ - text-to-image
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+ - diffusers
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+ - lora
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+ - template:sd-lora
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+ widget:
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+
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+ - text: 'A mage situated in a red sky, war scenario. The mage wears a purple cape. They radiate a leadership aura, with a calmly expression. It also has a staff as weapon. In <s0><s1> style.'
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+ output:
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+ url:
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+ "image_0.png"
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+
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+ - text: 'A mage situated in a red sky, war scenario. The mage wears a purple cape. They radiate a leadership aura, with a calmly expression. It also has a staff as weapon. In <s0><s1> style.'
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+ output:
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+ url:
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+ "image_1.png"
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+
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+ - text: 'A mage situated in a red sky, war scenario. The mage wears a purple cape. They radiate a leadership aura, with a calmly expression. It also has a staff as weapon. In <s0><s1> style.'
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+ output:
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+ url:
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+ "image_2.png"
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+
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+ - text: 'A mage situated in a red sky, war scenario. The mage wears a purple cape. They radiate a leadership aura, with a calmly expression. It also has a staff as weapon. In <s0><s1> style.'
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+ output:
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+ url:
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+ "image_3.png"
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+
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+ base_model: stabilityai/stable-diffusion-xl-base-1.0
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+ instance_prompt: In <s0><s1> style.
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+ license: openrail++
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+ ---
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+
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+ # SDXL LoRA DreamBooth - BruBel/lor-style-training-v5
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ ### These are BruBel/lor-style-training-v5 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
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+
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+ ## Download model
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+
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+ ### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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+
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+ - **LoRA**: download **[`lor-style-training-v5.safetensors` here 💾](/BruBel/lor-style-training-v5/blob/main/lor-style-training-v5.safetensors)**.
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+ - Place it on your `models/Lora` folder.
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+ - On AUTOMATIC1111, load the LoRA by adding `<lora:lor-style-training-v5:1>` to your prompt. On ComfyUI just [load it as a regular LoRA](https://comfyanonymous.github.io/ComfyUI_examples/lora/).
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+ - *Embeddings*: download **[`lor-style-training-v5_emb.safetensors` here 💾](/BruBel/lor-style-training-v5/blob/main/lor-style-training-v5_emb.safetensors)**.
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+ - Place it on it on your `embeddings` folder
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+ - Use it by adding `lor-style-training-v5_emb` to your prompt. For example, `In lor-style-training-v5_emb style.`
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+ (you need both the LoRA and the embeddings as they were trained together for this LoRA)
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+
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+ from huggingface_hub import hf_hub_download
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+ from safetensors.torch import load_file
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('stabilityai/stable-diffusion-xl-base-1.0', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('BruBel/lor-style-training-v5', weight_name='pytorch_lora_weights.safetensors')
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+ embedding_path = hf_hub_download(repo_id='BruBel/lor-style-training-v5', filename='lor-style-training-v5_emb.safetensors', repo_type="model")
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+ state_dict = load_file(embedding_path)
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+ pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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+ pipeline.load_textual_inversion(state_dict["clip_g"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder_2, tokenizer=pipeline.tokenizer_2)
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+
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+ image = pipeline('A mage situated in a red sky, war scenario. The mage wears a purple cape. They radiate a leadership aura, with a calmly expression. It also has a staff as weapon. In <s0><s1> style.').images[0]
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+ ```
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+
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+ For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters)
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+
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+ ## Trigger words
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+
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+ To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
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+
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+ to trigger concept `LEGENDSOFRUNETERRA` → use `<s0><s1>` in your prompt
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+
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+
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+
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+ ## Details
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+ All [Files & versions](/BruBel/lor-style-training-v5/tree/main).
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+
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+ The weights were trained using [🧨 diffusers Advanced Dreambooth Training Script](https://github.com/huggingface/diffusers/blob/main/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py).
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+
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+ LoRA for the text encoder was enabled. False.
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+
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+ Pivotal tuning was enabled: True.
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+
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+ Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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+
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+
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+ adam_beta1: 0.9
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+ adam_beta2: 0.999
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+ adam_epsilon: 1.0e-08
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+ adam_weight_decay: 0.0001
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+ adam_weight_decay_text_encoder: null
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+ allow_tf32: false
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+ cache_dir: null
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+ cache_latents: false
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+ caption_column: prompt
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+ checkpointing_steps: 5000
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+ checkpoints_total_limit: null
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+ class_data_dir: null
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+ class_prompt: style
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+ clip_skip: null
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+ dataloader_num_workers: 0
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+ dataset_config_name: null
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+ dataset_name: BruBel/lor-style-training
19
+ do_edm_style_training: false
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+ enable_xformers_memory_efficient_attention: false
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+ gradient_accumulation_steps: 1
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+ gradient_checkpointing: true
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+ hub_model_id: null
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+ hub_token: null
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+ image_column: image
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+ instance_data_dir: null
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+ instance_prompt: In <s0><s1> style.
28
+ learning_rate: 0.0001
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+ local_rank: -1
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+ logging_dir: logs
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+ lora_unet_blocks: null
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+ lr_num_cycles: 1
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+ lr_power: 1.0
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+ lr_scheduler: constant
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+ lr_warmup_steps: 0
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+ max_grad_norm: 1.0
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+ max_train_steps: 106000
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+ mixed_precision: bf16
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+ noise_offset: 0
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+ num_class_images: 100
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+ num_new_tokens_per_abstraction: 2
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+ num_train_epochs: 3118
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+ num_validation_images: 4
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+ optimizer: AdamW
45
+ output_dir: lor-style-training-v5
46
+ pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
47
+ pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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+ prior_generation_precision: null
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+ prodigy_decouple: true
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+ prodigy_safeguard_warmup: true
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+ prodigy_use_bias_correction: true
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+ push_to_hub: true
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+ random_flip: false
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+ rank: 32
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+ repeats: 1
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+ report_to: tensorboard
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+ resolution: 1024
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+ resume_from_checkpoint: null
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+ revision: null
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+ sample_batch_size: 4
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+ scale_lr: false
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+ seed: 1
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+ snr_gamma: 5.0
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+ text_encoder_lr: 0.0003
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+ token_abstraction: LEGENDSOFRUNETERRA
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+ train_batch_size: 3
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+ train_text_encoder: false
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+ train_text_encoder_frac: 1.0
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+ train_text_encoder_ti: true
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+ train_text_encoder_ti_frac: 0.5
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+ use_8bit_adam: false
74
+ use_blora: false
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+ use_dora: false
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+ validation_epochs: 50
77
+ validation_prompt: A mage situated in a red sky, war scenario. The mage wears a purple
78
+ cape. They radiate a leadership aura, with a calmly expression. It also has a staff
79
+ as weapon. In <s0><s1> style.
80
+ variant: null
81
+ with_prior_preservation: false
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+ adam_beta1: 0.9
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