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README.md

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+---
+tags:
+- diffusers
+- text-to-image
+- template:sd-lora
+- base_model:black-forest-labs/FLUX.1-dev
+- base_model:finetune:black-forest-labs/FLUX.1-dev
+- license:other
+- region:us
+- flux
+- lora
+widget:
+-   output:
+        url: samples/1730423169560__000002000_0.jpg
+    text: zebra
+-   output:
+        url: samples/1730423194113__000002000_1.jpg
+    text: shark
+-   output:
+        url: samples/1730423218657__000002000_2.jpg
+    text: tiger
+base_model: black-forest-labs/FLUX.1-dev
+trigger: close-up shot
+instance_prompt: close-up shot
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+# flux_dev_close_up_animals
+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 `mesonwarrior`.
+<Gallery />
+## Trigger words
+You should use `close-up shot` to trigger the image generation.
+## Download model
+Weights for this model are available in Safetensors format.
+[Download](/glif-loradex-trainer/mesonwarrior_flux_dev_close_up_animals/tree/main) them in the Files & versions tab.
+
+## License
+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).
+

config.yaml

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+config:
+  name: flux_dev_close_up_animals
+  process:
+  - datasets:
+    - cache_latents_to_disk: true
+      caption_dropout_rate: 0.2
+      caption_ext: txt
+      folder_path: /root/lorahub/flux_dev_close_up_animals/dataset
+      resolution:
+      - 512
+      - 768
+      - 1024
+      shuffle_tokens: false
+      token_dropout_rate: 0.01
+    device: cuda:0
+    model:
+      is_flux: true
+      name_or_path: black-forest-labs/FLUX.1-dev
+      quantize: true
+      text_encoder_bits: 8
+    network:
+      linear: 42
+      linear_alpha: 42
+      transformer_only: true
+      type: lora
+    performance_log_every: 500
+    sample:
+      height: 1024
+      neg: ''
+      prompts:
+      - zebra
+      - shark
+      - tiger
+      sample_every: 500
+      sample_steps: 25
+      sampler: flowmatch
+      seed: 42
+      walk_seed: true
+      width: 1024
+    save:
+      dtype: float16
+      max_step_saves_to_keep: 3
+      save_every: 500
+      save_format: diffusers
+    train:
+      batch_size: 1
+      dtype: bf16
+      ema_config:
+        ema_decay: 0.99
+        use_ema: true
+      gradient_accumulation_steps: 1
+      gradient_checkpointing: true
+      linear_timesteps: true
+      loss_type: mse
+      lr: 0.0002
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      reg_weight: 1.0
+      steps: 2000
+      target_noise_multiplier: 1.0
+      train_text_encoder: false
+      train_unet: true
+    training_folder: /root/lorahub
+    trigger_word: close-up shot
+    type: sd_trainer
+job: extension
+meta:
+  description: Trained on a dataset of comically close close-up shots of animals

flux_dev_close_up_animals.safetensors

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+size 451202792

flux_dev_close_up_animals_000000500.safetensors

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flux_dev_close_up_animals_000001000.safetensors

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flux_dev_close_up_animals_000001500.safetensors

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