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Fondart_v2.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:924fbd5928cb5a4f51ef8b193c148a80ffb098a3facee56d62aefda8b64d422b
+size 451202720

Fondart_v2_000001500.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:183b74980f3d584873dc1de183fab903716c105f530d1435b66949cf79d7531e
+size 451202720

Fondart_v2_000002000.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fa2f0f99555bdbc1b785e3c832b6a7b6d89bdab7a35c15d072b3772524d840fc
+size 451202720

Fondart_v2_000002500.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:1de189e2ff4b4a5b4debf798a077630389cfbeb0dda6edfcf07ccb249d5e60e0
+size 451202720

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/1729873905099__000003000_0.jpg
+    text: fondant wounded centaur, mythical creature fndnt
+-   output:
+        url: samples/1729873928789__000003000_1.jpg
+    text: round cake designed in the theme of the ruins of athens, with a snake, fndnt
+-   output:
+        url: samples/1729873952945__000003000_2.jpg
+    text: silver vampire sword fndnt
+-   output:
+        url: samples/1729873976733__000003000_3.jpg
+    text: cake with a dog and a hydrant made of fondant, fndnt
+-   output:
+        url: samples/1729874000505__000003000_4.jpg
+    text: fondant showing woman with flowers in her hair, fndnt
+-   output:
+        url: samples/1729874025047__000003000_5.jpg
+    text: cake with fondant topping of a robot, fndnt
+base_model: black-forest-labs/FLUX.1-dev
+trigger: fndnt
+instance_prompt: fndnt
+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
+---
+# Fondart_v2
+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 `fndnt` to trigger the image generation.
+## Download model
+Weights for this model are available in Safetensors format.
+[Download](/glif-loradex-trainer/an303042_Fondart_v2/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: Fondart_v2
+  process:
+  - datasets:
+    - cache_latents_to_disk: true
+      caption_dropout_rate: 0
+      caption_ext: txt
+      folder_path: /root/lorahub/Fondart_v2/dataset
+      resolution:
+      - 512
+      - 768
+      - 1024
+      shuffle_tokens: false
+      token_dropout_rate: 0
+    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:
+      - fondant wounded centaur, mythical creature [trigger]
+      - round cake designed in the theme of the ruins of athens, with a snake, [trigger]
+      - silver vampire sword [trigger]
+      - cake with a dog and a hydrant made of fondant, [trigger]
+      - fondant showing woman with flowers in her hair, [trigger]
+      - cake with fondant topping of a robot, [trigger]
+      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: fndnt
+    type: sd_trainer
+job: extension
+meta:
+  description: FondArt_v2 by @an303042