Upload folder using huggingface_hub
Browse files- .ipynb_checkpoints/Untitled-checkpoint.ipynb +6 -0
- Quality_1-000150.safetensors +3 -0
- Quality_1-000175.safetensors +3 -0
- Quality_1.safetensors +3 -0
- Quality_1_20250330-143859.json +173 -0
- Untitled.ipynb +99 -0
- config_dreambooth-20250330-143859.toml +72 -0
- sample/prompt.txt +0 -0
.ipynb_checkpoints/Untitled-checkpoint.ipynb
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Quality_1-000150.safetensors
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Quality_1-000175.safetensors
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version https://git-lfs.github.com/spec/v1
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size 23802909568
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Quality_1.safetensors
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version https://git-lfs.github.com/spec/v1
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Quality_1_20250330-143859.json
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}
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Untitled.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c40cc4a1-9ea3-4d37-9393-4fe92777a2fc",
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"metadata": {},
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"outputs": [],
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"source": [
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"from huggingface_hub import HfApi\n",
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"\n",
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"api = HfApi(token=os.getenv(\"HF_TOKEN\"))\n",
|
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"api.upload_folder(\n",
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" folder_path=\"home/Ubuntu/apps/StableSwarmUI/Models/diffusion_models/Quality_1.safetensors\",\n",
|
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" repo_id=\"kratosboy507/three_tits\",\n",
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" repo_type=\"model\",\n",
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")\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "690c4aea-3368-49ff-b2d2-86baf21a57e4",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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" _| _| _| _| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _|_|_|_| _|_| _|_|_| _|_|_|_|\n",
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" _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
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" _|_|_|_| _| _| _| _|_| _| _|_| _| _| _| _| _| _|_| _|_|_| _|_|_|_| _| _|_|_|\n",
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" _| _| _| _| _| _| _| _| _| _| _|_| _| _| _| _| _| _| _|\n",
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" _| _| _|_| _|_|_| _|_|_| _|_|_| _| _| _|_|_| _| _| _| _|_|_| _|_|_|_|\n",
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"\n",
|
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" To log in, `huggingface_hub` requires a token generated from https://huggingface.co/settings/tokens .\n",
|
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"Enter your token (input will not be visible): Traceback (most recent call last):\n",
|
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" File \"/usr/local/bin/huggingface-cli\", line 8, in <module>\n",
|
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" sys.exit(main())\n",
|
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" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/commands/huggingface_cli.py\", line 57, in main\n",
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" service.run()\n",
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" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/commands/user.py\", line 153, in run\n",
|
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" login(\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py\", line 101, in inner_f\n",
|
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+
" return f(*args, **kwargs)\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py\", line 31, in inner_f\n",
|
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+
" return f(*args, **kwargs)\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/_login.py\", line 130, in login\n",
|
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" interpreter_login(new_session=new_session)\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py\", line 101, in inner_f\n",
|
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+
" return f(*args, **kwargs)\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/utils/_deprecation.py\", line 31, in inner_f\n",
|
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" return f(*args, **kwargs)\n",
|
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+
" File \"/usr/local/lib/python3.10/site-packages/huggingface_hub/_login.py\", line 287, in interpreter_login\n",
|
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" token = getpass(\"Enter your token (input will not be visible): \")\n",
|
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+
" File \"/usr/local/lib/python3.10/getpass.py\", line 77, in unix_getpass\n",
|
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+
" passwd = _raw_input(prompt, stream, input=input)\n",
|
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+
" File \"/usr/local/lib/python3.10/getpass.py\", line 146, in _raw_input\n",
|
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" line = input.readline()\n",
|
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+
"KeyboardInterrupt\n"
|
62 |
+
]
|
63 |
+
}
|
64 |
+
],
|
65 |
+
"source": [
|
66 |
+
"!huggingface-cli login\n"
|
67 |
+
]
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"cell_type": "code",
|
71 |
+
"execution_count": null,
|
72 |
+
"id": "94bc9b06-a361-472d-8d08-be7576f39cdf",
|
73 |
+
"metadata": {},
|
74 |
+
"outputs": [],
|
75 |
+
"source": []
|
76 |
+
}
|
77 |
+
],
|
78 |
+
"metadata": {
|
79 |
+
"kernelspec": {
|
80 |
+
"display_name": "Python 3 (ipykernel)",
|
81 |
+
"language": "python",
|
82 |
+
"name": "python3"
|
83 |
+
},
|
84 |
+
"language_info": {
|
85 |
+
"codemirror_mode": {
|
86 |
+
"name": "ipython",
|
87 |
+
"version": 3
|
88 |
+
},
|
89 |
+
"file_extension": ".py",
|
90 |
+
"mimetype": "text/x-python",
|
91 |
+
"name": "python",
|
92 |
+
"nbconvert_exporter": "python",
|
93 |
+
"pygments_lexer": "ipython3",
|
94 |
+
"version": "3.10.15"
|
95 |
+
}
|
96 |
+
},
|
97 |
+
"nbformat": 4,
|
98 |
+
"nbformat_minor": 5
|
99 |
+
}
|
config_dreambooth-20250330-143859.toml
ADDED
@@ -0,0 +1,72 @@
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|
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|
|
|
|
|
|
|
|
|
1 |
+
adaptive_noise_scale = 0
|
2 |
+
ae = "/ae.safetensors"
|
3 |
+
apply_t5_attn_mask = true
|
4 |
+
blocks_to_swap = 0
|
5 |
+
bucket_no_upscale = true
|
6 |
+
bucket_reso_steps = 64
|
7 |
+
cache_latents = true
|
8 |
+
cache_latents_to_disk = true
|
9 |
+
cache_text_encoder_outputs = true
|
10 |
+
cache_text_encoder_outputs_to_disk = true
|
11 |
+
caption_dropout_every_n_epochs = 0
|
12 |
+
caption_dropout_rate = 0
|
13 |
+
caption_extension = ".txt"
|
14 |
+
clip_l = "/clip_l.safetensors"
|
15 |
+
discrete_flow_shift = 3.1582
|
16 |
+
double_blocks_to_swap = 0
|
17 |
+
dynamo_backend = "no"
|
18 |
+
epoch = 200
|
19 |
+
full_bf16 = true
|
20 |
+
fused_backward_pass = true
|
21 |
+
gradient_accumulation_steps = 1
|
22 |
+
gradient_checkpointing = true
|
23 |
+
guidance_scale = 1
|
24 |
+
huber_c = 0.1
|
25 |
+
huber_scale = 1
|
26 |
+
huber_schedule = "snr"
|
27 |
+
keep_tokens = 0
|
28 |
+
learning_rate = 4e-6
|
29 |
+
learning_rate_te = 0
|
30 |
+
loss_type = "l2"
|
31 |
+
lr_scheduler = "constant"
|
32 |
+
lr_scheduler_args = []
|
33 |
+
lr_scheduler_num_cycles = 1
|
34 |
+
lr_scheduler_power = 1
|
35 |
+
lr_warmup_steps = 0
|
36 |
+
max_bucket_reso = 2048
|
37 |
+
max_data_loader_n_workers = 0
|
38 |
+
max_timestep = 1000
|
39 |
+
max_token_length = 75
|
40 |
+
max_train_steps = 3000
|
41 |
+
mem_eff_save = true
|
42 |
+
min_bucket_reso = 256
|
43 |
+
mixed_precision = "bf16"
|
44 |
+
model_prediction_type = "raw"
|
45 |
+
multires_noise_discount = 0.3
|
46 |
+
multires_noise_iterations = 0
|
47 |
+
noise_offset = 0
|
48 |
+
noise_offset_type = "Original"
|
49 |
+
optimizer_args = [ "scale_parameter=False", "relative_step=False", "warmup_init=False", "weight_decay=0.01",]
|
50 |
+
optimizer_type = "Adafactor"
|
51 |
+
output_dir = "/home/Ubuntu/apps/StableSwarmUI/Models/diffusion_models"
|
52 |
+
output_name = "Quality_1"
|
53 |
+
persistent_data_loader_workers = 0
|
54 |
+
pretrained_model_name_or_path = "/flux1-dev.safetensors"
|
55 |
+
prior_loss_weight = 1
|
56 |
+
resolution = "1024,1024"
|
57 |
+
sample_prompts = "/home/Ubuntu/apps/StableSwarmUI/Models/diffusion_models/sample/prompt.txt"
|
58 |
+
sample_sampler = "euler_a"
|
59 |
+
save_every_n_epochs = 25
|
60 |
+
save_model_as = "safetensors"
|
61 |
+
save_precision = "fp16"
|
62 |
+
seed = 1
|
63 |
+
single_blocks_to_swap = 0
|
64 |
+
t5xxl = "/t5xxl_fp16.safetensors"
|
65 |
+
t5xxl_max_token_length = 512
|
66 |
+
timestep_sampling = "sigmoid"
|
67 |
+
train_batch_size = 1
|
68 |
+
train_blocks = "all"
|
69 |
+
train_data_dir = "/training/img/"
|
70 |
+
vae_batch_size = 4
|
71 |
+
wandb_run_name = "Quality_1"
|
72 |
+
xformers = true
|
sample/prompt.txt
ADDED
File without changes
|