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Browse files- Lemn_Art_X.safetensors +3 -0
- Lemn_Art_X_000001500.safetensors +3 -0
- Lemn_Art_X_000002000.safetensors +3 -0
- Lemn_Art_X_000002500.safetensors +3 -0
- README.md +43 -0
- config.yaml +71 -0
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Lemn_Art_X.safetensors
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Lemn_Art_X_000001500.safetensors
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Lemn_Art_X_000002000.safetensors
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Lemn_Art_X_000002500.safetensors
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README.md
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---
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tags:
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- text-to-image
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- fluxlora
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- diffusers
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- template:sd-lora
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widget:
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- output:
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url: samples/1728442006651__000003000_0.jpg
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text: woman, [trigger]
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- output:
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url: samples/1728442031315__000003000_1.jpg
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text: lemon, [trigger]
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- output:
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url: samples/1728442056024__000003000_2.jpg
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text: supercar, [trigger]
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- output:
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url: samples/1728442081152__000003000_3.jpg
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text: eye, [trigger]
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- output:
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url: samples/1728442105849__000003000_4.jpg
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text: cat, [trigger]
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- output:
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url: samples/1728442130562__000003000_5.jpg
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text: flower, [trigger]
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base_model: black-forest-labs/FLUX.1-dev
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trigger: Lemn Art
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# Lemn_Art_X
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) under the [Glif Loradex program](https://huggingface.co/glif-loradex-trainer) by [Glif](https://glif.app) user `lemnop`.
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<Gallery />
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## Trigger words
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You should use `Lemn Art` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/glif-loradex-trainer/lemnop_Lemn_Art_X/tree/main) them in the Files & versions tab.
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## License
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This model is licensed under the [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
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config.yaml
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config:
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name: Lemn_Art_X
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process:
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- datasets:
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- cache_latents_to_disk: true
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caption_dropout_rate: 0.2
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caption_ext: txt
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folder_path: /root/lorahub/Lemn_Art_X/dataset
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resolution:
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- 512
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- 768
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- 1024
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shuffle_tokens: false
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token_dropout_rate: 0.01
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device: cuda:0
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model:
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is_flux: true
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name_or_path: black-forest-labs/FLUX.1-dev
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quantize: true
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text_encoder_bits: 8
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network:
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linear: 42
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linear_alpha: 42
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transformer_only: true
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type: lora
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performance_log_every: 500
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sample:
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height: 1024
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neg: ''
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prompts:
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- woman, [trigger]
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- lemon, [trigger]
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- supercar, [trigger]
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- eye, [trigger]
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- cat, [trigger]
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- flower, [trigger]
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sample_every: 500
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sample_steps: 25
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sampler: flowmatch
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seed: 7
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walk_seed: true
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width: 1024
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save:
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dtype: float16
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max_step_saves_to_keep: 3
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save_every: 500
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save_format: diffusers
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train:
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batch_size: 1
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dtype: bf16
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ema_config:
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ema_decay: 0.99
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use_ema: true
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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linear_timesteps: true
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loss_type: mse
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lr: 0.0002
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noise_scheduler: flowmatch
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optimizer: adamw8bit
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reg_weight: 1.0
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steps: 3000
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target_noise_multiplier: 1.0
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train_text_encoder: false
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train_unet: true
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training_folder: /root/lorahub
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trigger_word: Lemn Art
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type: sd_trainer
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job: extension
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meta:
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description: Lemn Art Round 2. This one should be weighted better. (Enjoy)
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