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README.md

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+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- fluxgym
+widget:
+-   output:
+        url: sample/akira-schnell_001200_00_20240925132113.png
+    text: a scene from akira, a 8 year old girl and an old woman walking across a
+        street
+-   output:
+        url: sample/akira-schnell_001200_01_20240925132118.png
+    text: a scene from akira, a guy eating ramen
+-   output:
+        url: sample/akira-schnell_001200_02_20240925132123.png
+    text: a scene from akira, two people playing tennis
+base_model: black-forest-labs/FLUX.1-schnell
+instance_prompt: from akira
+license: apache-2.0
+---
+
+# akira-schnell
+
+A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
+
+<Gallery />
+
+## Trigger words
+
+You should use `from akira` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
+
+Weights for this model are available in Safetensors format.
+

akira-schnell-000004.safetensors

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+size 39757168

akira-schnell-000008.safetensors

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+oid sha256:2e086a5baabc8c3549a4fdb429828db1e155896dc61c4ecbc8709d0794a562b4
+size 39757176

akira-schnell-000012.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a82f29d4fefc3b07b452c87412d89460493efcb3cb66e82f5c4404c65f8ca65d
+size 39757176

akira-schnell.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:aa84a8f7d58d01146a68ec4aa2cb57e14ceec75d14c0e83b9dac01c47e5a9a4a
+size 39757176

dataset.toml

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+[general]
+shuffle_caption = false
+caption_extension = '.txt'
+keep_tokens = 1
+
+[[datasets]]
+resolution = 512
+batch_size = 1
+keep_tokens = 1
+
+  [[datasets.subsets]]
+  image_dir = 'C:\pinokio\api\fluxgym.git\datasets\akira-schnell'
+  class_tokens = 'from akira'
+  num_repeats = 5

sample_prompts.txt

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+a scene from akira, a 8 year old girl and an old woman walking across a street
+a scene from akira, a guy eating ramen
+a scene from akira, two people playing tennis

train.bat

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+accelerate launch ^
+  --mixed_precision bf16 ^
+  --num_cpu_threads_per_process 1 ^
+  sd-scripts/flux_train_network.py ^
+  --pretrained_model_name_or_path "C:\pinokio\api\fluxgym.git\models\unet\flux1-schnell.safetensors" ^
+  --clip_l "C:\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
+  --t5xxl "C:\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
+  --ae "C:\pinokio\api\fluxgym.git\models\vae\ae.sft" ^
+  --cache_latents_to_disk ^
+  --save_model_as safetensors ^
+  --sdpa --persistent_data_loader_workers ^
+  --max_data_loader_n_workers 2 ^
+  --seed 42 ^
+  --gradient_checkpointing ^
+  --mixed_precision bf16 ^
+  --save_precision bf16 ^
+  --network_module networks.lora_flux ^
+  --network_dim 4 ^
+  --optimizer_type adamw8bit ^--sample_prompts="C:\pinokio\api\fluxgym.git\outputs\akira-schnell\sample_prompts.txt" --sample_every_n_steps="200" ^
+  --learning_rate 8e-4 ^
+  --cache_text_encoder_outputs ^
+  --cache_text_encoder_outputs_to_disk ^
+  --fp8_base ^
+  --highvram ^
+  --max_train_epochs 16 ^
+  --save_every_n_epochs 4 ^
+  --dataset_config "C:\pinokio\api\fluxgym.git\outputs\akira-schnell\dataset.toml" ^
+  --output_dir "C:\pinokio\api\fluxgym.git\outputs\akira-schnell" ^
+  --output_name akira-schnell ^
+  --timestep_sampling shift ^
+  --discrete_flow_shift 3.1582 ^
+  --model_prediction_type raw ^
+  --guidance_scale 1 ^
+  --loss_type l2 ^