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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/1734791547332__000003000_0.jpg
+    text: wounded centaur, mythical creature swrind
+-   output:
+        url: samples/1734791572226__000003000_1.jpg
+    text: ruins of athens, snake swrind
+-   output:
+        url: samples/1734791597001__000003000_2.jpg
+    text: silver vampire sword swrind
+-   output:
+        url: samples/1734791621774__000003000_3.jpg
+    text: swrind, portrait of a woman standing at a busy intersection
+-   output:
+        url: samples/1734791646711__000003000_4.jpg
+    text: swrind, dog standing by a hydrant
+-   output:
+        url: samples/1734791671488__000003000_5.jpg
+    text: swrind, family portrait sitting down for thanksgiving dinner
+base_model: black-forest-labs/FLUX.1-dev
+trigger: "swrind"
+instance_prompt: "swrind"
+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
+---
+# Seiwert_Industrial_v1
+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 `an303042`.
+<Gallery />
+## Trigger words
+You should use `swrind` to trigger the image generation.
+## Download model
+Weights for this model are available in Safetensors format.
+[Download](/glif-loradex-trainer/an303042_Seiwert_Industrial_v1/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).
+

Seiwert_Industrial_v1.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2b795f9894187b5a5695a47f690e165caeec35374fac462b68b905eeb00df158
+size 451202768

Seiwert_Industrial_v1_000001500.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6852d17caa16fd9d02911b87554c605f3cd06003aad6192ebd02b0f2ca20f52d
+size 451202768

Seiwert_Industrial_v1_000002000.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c1266a59f0dd740ca75522452b3118ca5c1e75247a7e813fb776b893390703a
+size 451202768

Seiwert_Industrial_v1_000002500.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5f425e48d2c9e6fb6ca94af17e34d3e9def9bb99c0500e31bd4e9495703b2ad5
+size 451202768

config.yaml

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+config:
+  name: Seiwert_Industrial_v1
+  process:
+  - datasets:
+    - cache_latents_to_disk: true
+      caption_dropout_rate: 0.1
+      caption_ext: txt
+      folder_path: /root/lorahub/Seiwert_Industrial_v1/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:
+      guidance_scale: 3.5
+      height: 1024
+      neg: ''
+      prompts:
+      - wounded centaur, mythical creature [trigger]
+      - ruins of athens, snake [trigger]
+      - silver vampire sword [trigger]
+      - swrind, portrait of a woman standing at a busy intersection
+      - swrind, dog standing by a hydrant
+      - swrind, family portrait sitting down for thanksgiving dinner
+      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: 3000
+      target_noise_multiplier: 1.0
+      train_text_encoder: false
+      train_unet: true
+    training_folder: /root/lorahub
+    trigger_word: swrind
+    type: sd_trainer
+job: extension
+meta:
+  description: after the works of Franz Wilhelm Seiwert, trained by an303042