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Running
hub fixes
Browse files- app.py +1 -0
- train_lora_flux_24gb.yaml +5 -15
app.py
CHANGED
@@ -164,6 +164,7 @@ def start_training(
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config["config"]["process"][0]["network"]["linear"] = int(rank)
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config["config"]["process"][0]["network"]["linear_alpha"] = int(rank)
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config["config"]["process"][0]["datasets"][0]["folder_path"] = dataset_folder
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if concept_sentence:
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config["config"]["process"][0]["trigger_word"] = concept_sentence
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if sample_1 or sample_2 or sample_2:
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config["config"]["process"][0]["network"]["linear"] = int(rank)
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config["config"]["process"][0]["network"]["linear_alpha"] = int(rank)
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config["config"]["process"][0]["datasets"][0]["folder_path"] = dataset_folder
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config["config"]["process"][0]["save"]["hf_repo_id"] = f"{profile.username}/{slugged_lora_name}"
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if concept_sentence:
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config["config"]["process"][0]["trigger_word"] = concept_sentence
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if sample_1 or sample_2 or sample_2:
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train_lora_flux_24gb.yaml
CHANGED
@@ -19,12 +19,12 @@ config:
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linear_alpha: 16
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save:
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dtype: float16 # precision to save
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save_every:
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max_step_saves_to_keep: 4 # how many intermittent saves to keep
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push_to_hub:
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# You can either set up a HF_TOKEN env variable or you'll be prompted to log-in
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datasets:
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# datasets are a folder of images. captions need to be txt files with the same name as the image
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# for instance image2.jpg and image2.txt. Only jpg, jpeg, and png are supported currently
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@@ -74,17 +74,7 @@ config:
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height: 1024
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prompts:
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# you can add [trigger] to the prompts here and it will be replaced with the trigger word
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-
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- "woman with red hair, playing chess at the park, bomb going off in the background"
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- "a woman holding a coffee cup, in a beanie, sitting at a cafe"
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- "a horse is a DJ at a night club, fish eye lens, smoke machine, lazer lights, holding a martini"
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- "a man showing off his cool new t shirt at the beach, a shark is jumping out of the water in the background"
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- "a bear building a log cabin in the snow covered mountains"
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- "woman playing the guitar, on stage, singing a song, laser lights, punk rocker"
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- "hipster man with a beard, building a chair, in a wood shop"
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- "photo of a man, white background, medium shot, modeling clothing, studio lighting, white backdrop"
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- "a man holding a sign that says, 'this is a sign'"
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- "a bulldog, in a post apocalyptic world, with a shotgun, in a leather jacket, in a desert, with a motorcycle"
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neg: "" # not used on flux
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seed: 42
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walk_seed: true
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linear_alpha: 16
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save:
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dtype: float16 # precision to save
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save_every: 10000 # save every this many steps
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max_step_saves_to_keep: 4 # how many intermittent saves to keep
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push_to_hub: true #change this to True to push your trained model to Hugging Face.
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# You can either set up a HF_TOKEN env variable or you'll be prompted to log-in
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hf_repo_id: your-username/your-model-slug
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hf_private: true #whether the repo is private or public
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datasets:
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# datasets are a folder of images. captions need to be txt files with the same name as the image
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# for instance image2.jpg and image2.txt. Only jpg, jpeg, and png are supported currently
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height: 1024
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prompts:
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# you can add [trigger] to the prompts here and it will be replaced with the trigger word
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- "[trigger]"
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neg: "" # not used on flux
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seed: 42
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walk_seed: true
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