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README.md ADDED
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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/1727039944839__000003000_0.jpg
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+ text: wounded centaur, mythical creature [trigger]
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+ - output:
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+ url: samples/1727039969435__000003000_1.jpg
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+ text: ruins of athens, snake [trigger]
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+ - output:
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+ url: samples/1727039994033__000003000_2.jpg
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+ text: silver vampire sword [trigger]
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+ base_model: black-forest-labs/FLUX.1-dev
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+ trigger: impressionist style
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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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+ # impressionism2
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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 `fabian3000`.
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+ <Gallery />
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+ ## Trigger words
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+ You should use `impressionist style` 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/fabian3000_impressionism2/tree/main) them in the Files & versions tab.
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+
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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 ADDED
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+ config:
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+ name: impressionism2
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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/impressionism2/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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+ - wounded centaur, mythical creature [trigger]
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+ - ruins of athens, snake [trigger]
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+ - silver vampire sword [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: 42
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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: 0.0003
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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: impressionist style
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+ type: sd_trainer
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+ job: extension
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+ meta:
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+ description: ''
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