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LykosAI / StabilityMatrix

Multi-Platform Package Manager for Stable Diffusion
https://lykos.ai
GNU Affero General Public License v3.0
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Flux gym hangs on "download flux-dev" step and appears to not be doing anything #1015

Open nikolatesla20 opened 1 week ago

nikolatesla20 commented 1 week ago

What happened?

I installed Flux Gym with the Stability Matrix UI. I was able to run it and get things set up with my dataset, captions, etc. When I click Train, it gets stuck on the "download flux-dev" step

I clearly already have Flux-dev model and VAE in the required folders for flux gym, too, so I don't know why it's even trying to download anything.

Steps to reproduce

Install Flux Gym Launch Flux Gym in Stability Matrix Setup your LORA info and input images Click "Train" Look at console window messages

Relevant logs

e
model_names=['flux-dev', 'flux-schnell', 'bdsqlsz/flux1-dev2pro-single']

Running on local URL:  http://127.0.0.1:7860
2024-11-24 15:51:53 INFO     HTTP Request: GET                  _client.py:1038
                             http://127.0.0.1:7860/startup-even                
                             ts "HTTP/1.1 200 OK"                              
                    INFO     HTTP Request: HEAD                 _client.py:1038
                             http://127.0.0.1:7860/ "HTTP/1.1                  
                             200 OK"                                           

To create a public link, set `share=True` in `launch()`.
current_account=None
max_train_epochs=16 num_images=18, num_repeats=10, total_steps=2880
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
max_train_epochs=16 num_images=18, num_repeats=9, total_steps=2592
max_train_epochs=16 num_images=18, num_repeats=8, total_steps=2304
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
max_train_epochs=17 num_images=18, num_repeats=8, total_steps=2448
max_train_epochs=18 num_images=18, num_repeats=8, total_steps=2592
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=400
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=400
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
current_account=None
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=20G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]

gen_sh: network_dim:4, max_train_epochs=16, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]

gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
max_train_epochs=18 num_images=18, num_repeats=8, total_steps=2592
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=0
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=400
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
gen_sh: network_dim:4, max_train_epochs=18, save_every_n_epochs=4, timestep_sampling=shift, guidance_scale=1, vram=16G, sample_prompts=v3tta, sample_every_n_steps=400
original_advanced_component_values = ['', False, False, False, '', '', False, '', False, False, '', '', '', '', '', '', '', '', '', False, '', '', '', '', False, False, '', '', False, False, '', False, False, False, False, '', False, False, '', False, False, False, False, False, False, '', '', '', '', '', '', '', '', '', '', '', '', False, '', '', False, '', '', '', '', '', False, '', '', '', '', '', '', '', '', False, '', '', '', '', False, '', '', '', '', '', '', '', '', '', '', '', '', False, False, '', False, False, '', False, '', '', '', '', False, '', False, '', '', '', False, False, '', '', '', '', '', '', '', '', False, False, False, False, '', '', False, '', False, False, '', '', '', '', '', False, '', '', '', '', False, False, False, False, '', '', '', '', '', False, False, False, False, '', False]
Creating dataset
resize datasets/corvette\20140410_150925.jpg : 1024x1364
image_path=datasets/corvette\20140410_150925.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20140410_150925.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20140410_150925.txt already exists. use the existing .txt file
resize datasets/corvette\20180423_230145.jpg : 1024x1259
image_path=datasets/corvette\20180423_230145.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20180423_230145.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20180423_230145.txt already exists. use the existing .txt file
resize datasets/corvette\20180425_120740.jpg : 1024x1364
image_path=datasets/corvette\20180425_120740.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20180425_120740.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20180425_120740.txt already exists. use the existing .txt file
resize datasets/corvette\20210405_091437.jpg : 1024x1364
image_path=datasets/corvette\20210405_091437.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20210405_091437.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\20210405_091437.txt already exists. use the existing .txt file
resize datasets/corvette\AirBrush_20220711210322.jpg : 1024x1364
image_path=datasets/corvette\AirBrush_20220711210322.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\AirBrush_20220711210322.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\AirBrush_20220711210322.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20210606_122928124_BURST000_COVER_TOP.jpg : 1024x1364
image_path=datasets/corvette\IMG_20210606_122928124_BURST000_COVER_TOP.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210606_122928124_BURST000_COVER_TOP.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210606_122928124_BURST000_COVER_TOP.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20210610_091736587.jpg : 1024x1364
image_path=datasets/corvette\IMG_20210610_091736587.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210610_091736587.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210610_091736587.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20210610_091835714.jpg : 1024x1364
image_path=datasets/corvette\IMG_20210610_091835714.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210610_091835714.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20210610_091835714.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20211010_165910716.jpg : 1024x1364
image_path=datasets/corvette\IMG_20211010_165910716.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20211010_165910716.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20211010_165910716.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20220225_114710509.jpg : 1024x1364
image_path=datasets/corvette\IMG_20220225_114710509.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20220225_114710509.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20220225_114710509.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20220311_093614531.jpg : 1024x1364
image_path=datasets/corvette\IMG_20220311_093614531.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20220311_093614531.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20220311_093614531.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20230528_101119964_HDR.jpg : 1024x1819
image_path=datasets/corvette\IMG_20230528_101119964_HDR.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230528_101119964_HDR.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230528_101119964_HDR.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20230705_144628420_MF_PORTRAIT.jpg : 1024x1360
image_path=datasets/corvette\IMG_20230705_144628420_MF_PORTRAIT.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230705_144628420_MF_PORTRAIT.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230705_144628420_MF_PORTRAIT.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20230705_144714376_MF_PORTRAIT.jpg : 1024x1360
image_path=datasets/corvette\IMG_20230705_144714376_MF_PORTRAIT.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230705_144714376_MF_PORTRAIT.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20230705_144714376_MF_PORTRAIT.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20240207_094429697_HDR.jpg : 1024x1819
image_path=datasets/corvette\IMG_20240207_094429697_HDR.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20240207_094429697_HDR.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20240207_094429697_HDR.txt already exists. use the existing .txt file
resize datasets/corvette\IMG_20240207_094438057_HDR.jpg : 1024x1819
image_path=datasets/corvette\IMG_20240207_094438057_HDR.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20240207_094438057_HDR.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\IMG_20240207_094438057_HDR.txt already exists. use the existing .txt file
resize datasets/corvette\original_88bcca8c-53d9-41f9-846c-5649ffef555c_IMG_20220125_164939884.jpg : 1055x1024
image_path=datasets/corvette\original_88bcca8c-53d9-41f9-846c-5649ffef555c_IMG_20220125_164939884.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\original_88bcca8c-53d9-41f9-846c-5649ffef555c_IMG_20220125_164939884.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\original_88bcca8c-53d9-41f9-846c-5649ffef555c_IMG_20220125_164939884.txt already exists. use the existing .txt file
resize datasets/corvette\Snapchat-710928474.jpg : 1024x1819
image_path=datasets/corvette\Snapchat-710928474.jpg, caption_path = C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\Snapchat-710928474.txt, original_caption=v3tta
C:\StabilityMatrix\AllData\Packages\FluxGym\datasets\corvette\Snapchat-710928474.txt already exists. use the existing .txt file
destination_folder datasets/corvette
download flux-dev

Version

2.12.3

What Operating System are you using?

Windows