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Browse files- README.md +46 -0
- config.yaml +74 -0
- flux_dev_SMPGCLRPHTO.safetensors +3 -0
- flux_dev_SMPGCLRPHTO_000001000.safetensors +3 -0
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- flux_dev_SMPGCLRPHTO_000002000.safetensors +3 -0
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README.md
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---
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tags:
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- diffusers
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- text-to-image
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- template:sd-lora
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- base_model:black-forest-labs/FLUX.1-dev
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- base_model:finetune:black-forest-labs/FLUX.1-dev
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- license:other
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- region:us
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- flux
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- lora
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widget:
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- output:
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url: samples/1728836466831__000002500_0.jpg
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text: A young boy seated on a weathered concrete wall beside a calm river. The
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boy is dressed in a dark blue coat, beige trousers, and a black hat, exuding
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a contemplative demeanor. The river reflects the overcast sky, with boats
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moored in the distance, photo in the style of SMPGCLRPHTO
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- output:
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url: samples/1728836491559__000002500_1.jpg
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text: A man dressed in traditional attire, seated against a backdrop of a weathered
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wall and a wooden door. The man is adorned in a vibrant blue robe with intricate
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floral patterns, complemented by a white turban. He holds a sword in his left
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hand, photo in the style of SMPGCLRPHTO
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- output:
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url: samples/1728836516283__000002500_2.jpg
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text: a portrait of a woman, japanese countryside, photo in the style of SMPGCLRPHTO
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base_model: black-forest-labs/FLUX.1-dev
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trigger: SMPGCLRPHTO
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instance_prompt: SMPGCLRPHTO
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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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# flux_dev_SMPGCLRPHTO
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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 `bingbangboom`.
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<Gallery />
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## Trigger words
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You should use `SMPGCLRPHTO` 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/bingbangboom_flux_dev_SMPGCLRPHTO/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: flux_dev_SMPGCLRPHTO
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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/flux_dev_SMPGCLRPHTO/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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- A young boy seated on a weathered concrete wall beside a calm river. The boy
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is dressed in a dark blue coat, beige trousers, and a black hat, exuding a
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contemplative demeanor. The river reflects the overcast sky, with boats moored
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in the distance, photo in the style of SMPGCLRPHTO
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- A man dressed in traditional attire, seated against a backdrop of a weathered
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+
wall and a wooden door. The man is adorned in a vibrant blue robe with intricate
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floral patterns, complemented by a white turban. He holds a sword in his left
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hand, photo in the style of SMPGCLRPHTO
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- a portrait of a woman, japanese countryside, photo in the style of SMPGCLRPHTO
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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: 0.0002
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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: 2500
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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: SMPGCLRPHTO
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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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flux_dev_SMPGCLRPHTO.safetensors
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size 451202720
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flux_dev_SMPGCLRPHTO_000001000.safetensors
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flux_dev_SMPGCLRPHTO_000001500.safetensors
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flux_dev_SMPGCLRPHTO_000002000.safetensors
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version https://git-lfs.github.com/spec/v1
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