TheAwakenOne
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Browse files- README.md +51 -0
- dataset.toml +14 -0
- max-headroom-000004.safetensors +3 -0
- max-headroom-000008.safetensors +3 -0
- max-headroom-000012.safetensors +3 -0
- max-headroom.safetensors +3 -0
- sample/max-headroom_000100_00_20241015203613.png +0 -0
- sample/max-headroom_000100_01_20241015203824.png +0 -0
- sample/max-headroom_000100_02_20241015204037.png +0 -0
- sample/max-headroom_000100_03_20241015204251.png +0 -0
- sample/max-headroom_000200_00_20241015210029.png +0 -0
- sample/max-headroom_000200_01_20241015210240.png +0 -0
- sample/max-headroom_000200_02_20241015210451.png +0 -0
- sample/max-headroom_000200_03_20241015210702.png +0 -0
- sample/max-headroom_000300_00_20241015212435.png +0 -0
- sample/max-headroom_000300_01_20241015212646.png +0 -0
- sample/max-headroom_000300_02_20241015212856.png +0 -0
- sample/max-headroom_000300_03_20241015213106.png +0 -0
- sample/max-headroom_000400_00_20241015214834.png +0 -0
- sample/max-headroom_000400_01_20241015215045.png +0 -0
- sample/max-headroom_000400_02_20241015215254.png +0 -0
- sample/max-headroom_000400_03_20241015215504.png +0 -0
- sample/max-headroom_000500_00_20241015221229.png +0 -0
- sample/max-headroom_000500_01_20241015221438.png +0 -0
- sample/max-headroom_000500_02_20241015221648.png +0 -0
- sample/max-headroom_000500_03_20241015221858.png +0 -0
- sample/max-headroom_000600_00_20241015223628.png +0 -0
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- sample/max-headroom_000700_00_20241015230055.png +0 -0
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- sample/max-headroom_000800_00_20241015232506.png +0 -0
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- sample/max-headroom_000800_02_20241015232931.png +0 -0
- sample/max-headroom_000800_03_20241015233143.png +0 -0
- sample/max-headroom_000900_00_20241015234926.png +0 -0
- sample/max-headroom_000900_01_20241015235139.png +0 -0
- sample/max-headroom_000900_02_20241015235352.png +0 -0
- sample/max-headroom_000900_03_20241015235606.png +0 -0
- sample_prompts.txt +4 -0
- train.bat +39 -0
README.md
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---
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tags:
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- text-to-image
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- flux
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- lora
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- diffusers
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- template:sd-lora
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- fluxgym
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widget:
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- output:
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url: sample/max-headroom_000900_00_20241015234926.png
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text: M2X a stylized retro Albert Einstein with dark sunglasses, wearing a green
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suit, set against a neon background. He has a confident and cheerful expression,
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suggesting charisma and charm in a retro-futuristic 80's aesthetic
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- output:
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url: sample/max-headroom_000900_01_20241015235139.png
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text: M2X a close-up of a retro John wick character with slicked-back hair and
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a confident smile. He is set against a background of dynamic, colorful neon
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lines, emphasizing his bold and charismatic presence in a retro-80s vibe
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- output:
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url: sample/max-headroom_000900_02_20241015235352.png
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text: M2X retro animated character Ronald McDonald appears on a vintage television
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screen, wearing dark sunglasses and a shiny brown suit. The background features
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vibrant red and blue neon diagonal stripes, enhancing the retro-vibe
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- output:
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url: sample/max-headroom_000900_03_20241015235606.png
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text: M2X a stylized, retro animated character with slicked-back long hair and
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oversized sunglasses, wearing a blue suit and red bow tie. He stands in front
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of a neon background, with an exaggeratedly enthusiastic expression, shouting
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"AWKN!". The design captures a vibrant 80s aesthetic
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: M2X
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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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# Max-Headroom
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A Flux LoRA trained on a local computer with [Fluxgym](https://github.com/cocktailpeanut/fluxgym)
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<Gallery />
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## Trigger words
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You should use `M2X` to trigger the image generation.
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, Forge, etc.
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Weights for this model are available in Safetensors format.
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dataset.toml
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[general]
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shuffle_caption = false
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caption_extension = '.txt'
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keep_tokens = 1
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[[datasets]]
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resolution = 512
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batch_size = 1
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keep_tokens = 1
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[[datasets.subsets]]
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image_dir = 'E:\AIOne\pinokio\api\fluxgym.git\datasets\max-headroom'
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class_tokens = 'M2X'
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num_repeats = 10
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max-headroom-000004.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:913379044544e6433590fb8b25019fa88901f30c10205cb3a61a7096cf52ff72
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size 18212164
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max-headroom-000008.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:9f55b9b77b31b029c58c8af29343d4d59f67bc3bd1c0268e751d0169d2588601
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size 18212164
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max-headroom-000012.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:38741ade4a5bce8b3558842b0f60618bd93851e2dfa4eef86db7887dd21abeaf
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size 18212164
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max-headroom.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:d1032d110cf600070e1b724e4267993ec8556f034570e990ae936d95b153cb63
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size 18212164
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sample/max-headroom_000100_00_20241015203613.png
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sample/max-headroom_000100_01_20241015203824.png
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sample/max-headroom_000100_02_20241015204037.png
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sample/max-headroom_000100_03_20241015204251.png
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sample/max-headroom_000200_00_20241015210029.png
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sample/max-headroom_000200_01_20241015210240.png
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sample/max-headroom_000200_02_20241015210451.png
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sample/max-headroom_000200_03_20241015210702.png
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sample/max-headroom_000300_00_20241015212435.png
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sample/max-headroom_000300_01_20241015212646.png
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sample/max-headroom_000300_02_20241015212856.png
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sample/max-headroom_000300_03_20241015213106.png
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sample/max-headroom_000400_00_20241015214834.png
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sample/max-headroom_000400_01_20241015215045.png
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sample/max-headroom_000400_02_20241015215254.png
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sample/max-headroom_000400_03_20241015215504.png
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sample/max-headroom_000500_00_20241015221229.png
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sample/max-headroom_000500_01_20241015221438.png
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sample/max-headroom_000500_02_20241015221648.png
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sample/max-headroom_000500_03_20241015221858.png
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sample/max-headroom_000600_00_20241015223628.png
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sample/max-headroom_000600_01_20241015223838.png
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sample/max-headroom_000600_02_20241015224050.png
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sample/max-headroom_000600_03_20241015224301.png
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sample/max-headroom_000700_00_20241015230055.png
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sample/max-headroom_000700_01_20241015230306.png
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sample/max-headroom_000700_02_20241015230517.png
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sample/max-headroom_000700_03_20241015230728.png
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sample/max-headroom_000800_00_20241015232506.png
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sample/max-headroom_000800_01_20241015232718.png
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sample/max-headroom_000800_02_20241015232931.png
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sample/max-headroom_000800_03_20241015233143.png
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sample/max-headroom_000900_00_20241015234926.png
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sample/max-headroom_000900_01_20241015235139.png
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sample/max-headroom_000900_02_20241015235352.png
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sample/max-headroom_000900_03_20241015235606.png
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sample_prompts.txt
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M2X a stylized retro Albert Einstein with dark sunglasses, wearing a green suit, set against a neon background. He has a confident and cheerful expression, suggesting charisma and charm in a retro-futuristic 80's aesthetic
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M2X a close-up of a retro John wick character with slicked-back hair and a confident smile. He is set against a background of dynamic, colorful neon lines, emphasizing his bold and charismatic presence in a retro-80s vibe
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M2X retro animated character Ronald McDonald appears on a vintage television screen, wearing dark sunglasses and a shiny brown suit. The background features vibrant red and blue neon diagonal stripes, enhancing the retro-vibe
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+
M2X a stylized, retro animated character with slicked-back long hair and oversized sunglasses, wearing a blue suit and red bow tie. He stands in front of a neon background, with an exaggeratedly enthusiastic expression, shouting "AWKN!". The design captures a vibrant 80s aesthetic
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train.bat
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accelerate launch ^
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--mixed_precision bf16 ^
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--num_cpu_threads_per_process 1 ^
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sd-scripts/flux_train_network.py ^
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--pretrained_model_name_or_path "E:\AIOne\pinokio\api\fluxgym.git\models\unet\bdsqlsz\flux1-dev2pro-single\flux1-dev2pro.safetensors" ^
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--clip_l "E:\AIOne\pinokio\api\fluxgym.git\models\clip\clip_l.safetensors" ^
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--t5xxl "E:\AIOne\pinokio\api\fluxgym.git\models\clip\t5xxl_fp16.safetensors" ^
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--ae "E:\AIOne\pinokio\api\fluxgym.git\models\vae\ae.sft" ^
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--cache_latents_to_disk ^
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--save_model_as safetensors ^
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--sdpa --persistent_data_loader_workers ^
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--max_data_loader_n_workers 2 ^
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--seed 42 ^
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--gradient_checkpointing ^
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--mixed_precision bf16 ^
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--save_precision bf16 ^
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--network_module networks.lora_flux ^
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--network_dim 4 ^
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--optimizer_type adafactor ^
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--optimizer_args "relative_step=False" "scale_parameter=False" "warmup_init=False" ^
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--split_mode ^
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--network_args "train_blocks=single" ^
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--lr_scheduler constant_with_warmup ^
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--max_grad_norm 0.0 ^--sample_prompts="E:\AIOne\pinokio\api\fluxgym.git\outputs\max-headroom\sample_prompts.txt" --sample_every_n_steps="100" ^
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--learning_rate 8e-4 ^
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--cache_text_encoder_outputs ^
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--cache_text_encoder_outputs_to_disk ^
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--fp8_base ^
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--highvram ^
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--max_train_epochs 16 ^
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--save_every_n_epochs 4 ^
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--dataset_config "E:\AIOne\pinokio\api\fluxgym.git\outputs\max-headroom\dataset.toml" ^
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--output_dir "E:\AIOne\pinokio\api\fluxgym.git\outputs\max-headroom" ^
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--output_name max-headroom ^
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--timestep_sampling shift ^
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--discrete_flow_shift 3.1582 ^
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--model_prediction_type raw ^
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--guidance_scale 1 ^
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--loss_type l2 ^
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