End of training
Browse files- .gitattributes +4 -0
- README.md +97 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-2000/optimizer.bin +3 -0
- checkpoint-2000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-2000/random_states_0.pkl +3 -0
- checkpoint-2000/scheduler.bin +3 -0
- checkpoint-4000/optimizer.bin +3 -0
- checkpoint-4000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-4000/random_states_0.pkl +3 -0
- checkpoint-4000/scheduler.bin +3 -0
- checkpoint-6000/optimizer.bin +3 -0
- checkpoint-6000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-6000/random_states_0.pkl +3 -0
- checkpoint-6000/scheduler.bin +3 -0
- checkpoint-8000/optimizer.bin +3 -0
- checkpoint-8000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-8000/random_states_0.pkl +3 -0
- checkpoint-8000/scheduler.bin +3 -0
- image_0.png +3 -0
- image_1.png +3 -0
- image_2.png +3 -0
- image_3.png +3 -0
- logs/dreambooth-lora-sd-xl/1726705516.2442675/events.out.tfevents.1726705516.13606eae30a7.3902.1 +3 -0
- logs/dreambooth-lora-sd-xl/1726705516.2463326/hparams.yml +81 -0
- logs/dreambooth-lora-sd-xl/1726705617.8203127/events.out.tfevents.1726705617.13606eae30a7.4632.1 +3 -0
- logs/dreambooth-lora-sd-xl/1726705617.822517/hparams.yml +81 -0
- logs/dreambooth-lora-sd-xl/1726705666.8364224/events.out.tfevents.1726705666.13606eae30a7.4870.1 +3 -0
- logs/dreambooth-lora-sd-xl/1726705666.838517/hparams.yml +81 -0
- logs/dreambooth-lora-sd-xl/1726705725.5310574/events.out.tfevents.1726705725.13606eae30a7.5160.1 +3 -0
- logs/dreambooth-lora-sd-xl/1726705725.5331442/hparams.yml +81 -0
- logs/dreambooth-lora-sd-xl/1726737119.8679888/events.out.tfevents.1726737119.13606eae30a7.132512.1 +3 -0
- logs/dreambooth-lora-sd-xl/1726737119.8701186/hparams.yml +81 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705516.13606eae30a7.3902.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705617.13606eae30a7.4632.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705666.13606eae30a7.4870.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1726705725.13606eae30a7.5160.0 +3 -0
- logs/dreambooth-lora-sd-xl/events.out.tfevents.1726737119.13606eae30a7.132512.0 +3 -0
- lor-style-training-v5.safetensors +3 -0
- lor-style-training-v5_emb.safetensors +3 -0
- pytorch_lora_weights.safetensors +3 -0
.gitattributes
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README.md
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| 1 |
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---
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| 2 |
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tags:
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| 3 |
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- stable-diffusion-xl
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| 4 |
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- stable-diffusion-xl-diffusers
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| 5 |
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- diffusers-training
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| 6 |
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- text-to-image
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- diffusers
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| 8 |
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- lora
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| 9 |
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- template:sd-lora
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widget:
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| 12 |
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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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| 14 |
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url:
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"image_0.png"
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| 16 |
+
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| 17 |
+
- 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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| 18 |
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output:
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| 19 |
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url:
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"image_1.png"
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| 21 |
+
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| 22 |
+
- 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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| 23 |
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output:
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| 24 |
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url:
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| 25 |
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"image_2.png"
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| 26 |
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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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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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| 36 |
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# SDXL LoRA DreamBooth - BruBel/lor-style-training-v5
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| 39 |
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<Gallery />
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| 40 |
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|
| 41 |
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## Model description
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| 42 |
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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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| 44 |
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## Download model
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| 46 |
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### Use it with UIs such as AUTOMATIC1111, Comfy UI, SD.Next, Invoke
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| 48 |
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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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| 51 |
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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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| 53 |
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- Place it on it on your `embeddings` folder
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| 54 |
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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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| 55 |
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(you need both the LoRA and the embeddings as they were trained together for this LoRA)
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| 56 |
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| 57 |
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| 58 |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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| 59 |
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|
| 60 |
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```py
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| 61 |
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from diffusers import AutoPipelineForText2Image
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| 62 |
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import torch
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| 63 |
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from huggingface_hub import hf_hub_download
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| 64 |
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from safetensors.torch import load_file
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| 65 |
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|
| 66 |
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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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| 67 |
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pipeline.load_lora_weights('BruBel/lor-style-training-v5', weight_name='pytorch_lora_weights.safetensors')
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| 68 |
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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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| 69 |
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state_dict = load_file(embedding_path)
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| 70 |
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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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| 71 |
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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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| 72 |
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| 73 |
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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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| 75 |
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| 76 |
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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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| 78 |
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## Trigger words
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| 79 |
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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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to trigger concept `LEGENDSOFRUNETERRA` → use `<s0><s1>` in your prompt
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## Details
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All [Files & versions](/BruBel/lor-style-training-v5/tree/main).
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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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LoRA for the text encoder was enabled. False.
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Pivotal tuning was enabled: True.
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Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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logs/dreambooth-lora-sd-xl/1726705617.822517/hparams.yml
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validation_epochs: 50
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validation_prompt: A mage situated in a red sky, war scenario. The mage wears a purple
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| 78 |
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cape. They radiate a leadership aura, with a calmly expression. It also has a staff
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| 79 |
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variant: null
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logs/dreambooth-lora-sd-xl/1726705666.8364224/events.out.tfevents.1726705666.13606eae30a7.4870.1
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logs/dreambooth-lora-sd-xl/1726705666.838517/hparams.yml
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learning_rate: 0.0001
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logging_dir: logs
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pretrained_model_name_or_path: stabilityai/stable-diffusion-xl-base-1.0
|
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pretrained_vae_model_name_or_path: madebyollin/sdxl-vae-fp16-fix
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prior_generation_precision: null
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prior_loss_weight: 1.0
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|
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|
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|
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