Upload folder using huggingface_hub
Browse files- README.md +1 -0
- adapter_config.json +9 -9
- adapter_model.safetensors +1 -1
- checkpoint-200/README.md +202 -0
- checkpoint-200/adapter_config.json +44 -0
- checkpoint-200/adapter_model.safetensors +3 -0
- checkpoint-200/optimizer.bin +3 -0
- checkpoint-200/random_states_0.pkl +3 -0
- checkpoint-200/scaler.pt +3 -0
- checkpoint-200/scheduler.bin +3 -0
- checkpoint-200/unet_lora/pytorch_lora_weights.safetensors +3 -0
- logs/k7mlcmdistill-test/1729858058.488179/events.out.tfevents.1729858058.de8f3c3d4453.8958.1 +3 -0
- logs/k7mlcmdistill-test/1729858058.4900043/hparams.yml +57 -0
- logs/k7mlcmdistill-test/1729858155.550487/events.out.tfevents.1729858155.de8f3c3d4453.9433.1 +3 -0
- logs/k7mlcmdistill-test/1729858155.5524282/hparams.yml +57 -0
- logs/k7mlcmdistill-test/events.out.tfevents.1729858058.de8f3c3d4453.8958.0 +3 -0
- logs/k7mlcmdistill-test/events.out.tfevents.1729858155.de8f3c3d4453.9433.0 +3 -0
- unet_lora/pytorch_lora_weights.safetensors +1 -1
README.md
CHANGED
@@ -199,4 +199,5 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
199 |
[More Information Needed]
|
200 |
### Framework versions
|
201 |
|
|
|
202 |
- PEFT 0.12.0
|
|
|
199 |
[More Information Needed]
|
200 |
### Framework versions
|
201 |
|
202 |
+
- PEFT 0.13.2
|
203 |
- PEFT 0.12.0
|
adapter_config.json
CHANGED
@@ -23,20 +23,20 @@
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
|
|
26 |
"conv1",
|
27 |
-
"time_emb_proj",
|
28 |
-
"conv2",
|
29 |
-
"ff.net.2",
|
30 |
-
"ff.net.0.proj",
|
31 |
-
"to_out.0",
|
32 |
"to_k",
|
33 |
"conv_shortcut",
|
34 |
-
"
|
35 |
"downsamplers.0.conv",
|
|
|
36 |
"upsamplers.0.conv",
|
37 |
-
"
|
38 |
-
"
|
39 |
-
"
|
|
|
|
|
|
|
40 |
],
|
41 |
"task_type": null,
|
42 |
"use_dora": false,
|
|
|
23 |
"rank_pattern": {},
|
24 |
"revision": null,
|
25 |
"target_modules": [
|
26 |
+
"to_v",
|
27 |
"conv1",
|
|
|
|
|
|
|
|
|
|
|
28 |
"to_k",
|
29 |
"conv_shortcut",
|
30 |
+
"proj_out",
|
31 |
"downsamplers.0.conv",
|
32 |
+
"ff.net.0.proj",
|
33 |
"upsamplers.0.conv",
|
34 |
+
"to_out.0",
|
35 |
+
"conv2",
|
36 |
+
"to_q",
|
37 |
+
"time_emb_proj",
|
38 |
+
"ff.net.2",
|
39 |
+
"proj_in"
|
40 |
],
|
41 |
"task_type": null,
|
42 |
"use_dora": false,
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 251887560
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be9a5a3924f6c964d31c486e1ccc4637aedc64f221f832dda7e74ec93ec96f46
|
3 |
size 251887560
|
checkpoint-200/README.md
ADDED
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
base_model: etri-vilab/koala-700m
|
3 |
+
library_name: peft
|
4 |
+
---
|
5 |
+
|
6 |
+
# Model Card for Model ID
|
7 |
+
|
8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
9 |
+
|
10 |
+
|
11 |
+
|
12 |
+
## Model Details
|
13 |
+
|
14 |
+
### Model Description
|
15 |
+
|
16 |
+
<!-- Provide a longer summary of what this model is. -->
|
17 |
+
|
18 |
+
|
19 |
+
|
20 |
+
- **Developed by:** [More Information Needed]
|
21 |
+
- **Funded by [optional]:** [More Information Needed]
|
22 |
+
- **Shared by [optional]:** [More Information Needed]
|
23 |
+
- **Model type:** [More Information Needed]
|
24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
25 |
+
- **License:** [More Information Needed]
|
26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
27 |
+
|
28 |
+
### Model Sources [optional]
|
29 |
+
|
30 |
+
<!-- Provide the basic links for the model. -->
|
31 |
+
|
32 |
+
- **Repository:** [More Information Needed]
|
33 |
+
- **Paper [optional]:** [More Information Needed]
|
34 |
+
- **Demo [optional]:** [More Information Needed]
|
35 |
+
|
36 |
+
## Uses
|
37 |
+
|
38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
39 |
+
|
40 |
+
### Direct Use
|
41 |
+
|
42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
43 |
+
|
44 |
+
[More Information Needed]
|
45 |
+
|
46 |
+
### Downstream Use [optional]
|
47 |
+
|
48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
49 |
+
|
50 |
+
[More Information Needed]
|
51 |
+
|
52 |
+
### Out-of-Scope Use
|
53 |
+
|
54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
55 |
+
|
56 |
+
[More Information Needed]
|
57 |
+
|
58 |
+
## Bias, Risks, and Limitations
|
59 |
+
|
60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
61 |
+
|
62 |
+
[More Information Needed]
|
63 |
+
|
64 |
+
### Recommendations
|
65 |
+
|
66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
67 |
+
|
68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
69 |
+
|
70 |
+
## How to Get Started with the Model
|
71 |
+
|
72 |
+
Use the code below to get started with the model.
|
73 |
+
|
74 |
+
[More Information Needed]
|
75 |
+
|
76 |
+
## Training Details
|
77 |
+
|
78 |
+
### Training Data
|
79 |
+
|
80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
81 |
+
|
82 |
+
[More Information Needed]
|
83 |
+
|
84 |
+
### Training Procedure
|
85 |
+
|
86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
87 |
+
|
88 |
+
#### Preprocessing [optional]
|
89 |
+
|
90 |
+
[More Information Needed]
|
91 |
+
|
92 |
+
|
93 |
+
#### Training Hyperparameters
|
94 |
+
|
95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
96 |
+
|
97 |
+
#### Speeds, Sizes, Times [optional]
|
98 |
+
|
99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
100 |
+
|
101 |
+
[More Information Needed]
|
102 |
+
|
103 |
+
## Evaluation
|
104 |
+
|
105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
106 |
+
|
107 |
+
### Testing Data, Factors & Metrics
|
108 |
+
|
109 |
+
#### Testing Data
|
110 |
+
|
111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
112 |
+
|
113 |
+
[More Information Needed]
|
114 |
+
|
115 |
+
#### Factors
|
116 |
+
|
117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
118 |
+
|
119 |
+
[More Information Needed]
|
120 |
+
|
121 |
+
#### Metrics
|
122 |
+
|
123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
124 |
+
|
125 |
+
[More Information Needed]
|
126 |
+
|
127 |
+
### Results
|
128 |
+
|
129 |
+
[More Information Needed]
|
130 |
+
|
131 |
+
#### Summary
|
132 |
+
|
133 |
+
|
134 |
+
|
135 |
+
## Model Examination [optional]
|
136 |
+
|
137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
138 |
+
|
139 |
+
[More Information Needed]
|
140 |
+
|
141 |
+
## Environmental Impact
|
142 |
+
|
143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
144 |
+
|
145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
146 |
+
|
147 |
+
- **Hardware Type:** [More Information Needed]
|
148 |
+
- **Hours used:** [More Information Needed]
|
149 |
+
- **Cloud Provider:** [More Information Needed]
|
150 |
+
- **Compute Region:** [More Information Needed]
|
151 |
+
- **Carbon Emitted:** [More Information Needed]
|
152 |
+
|
153 |
+
## Technical Specifications [optional]
|
154 |
+
|
155 |
+
### Model Architecture and Objective
|
156 |
+
|
157 |
+
[More Information Needed]
|
158 |
+
|
159 |
+
### Compute Infrastructure
|
160 |
+
|
161 |
+
[More Information Needed]
|
162 |
+
|
163 |
+
#### Hardware
|
164 |
+
|
165 |
+
[More Information Needed]
|
166 |
+
|
167 |
+
#### Software
|
168 |
+
|
169 |
+
[More Information Needed]
|
170 |
+
|
171 |
+
## Citation [optional]
|
172 |
+
|
173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
174 |
+
|
175 |
+
**BibTeX:**
|
176 |
+
|
177 |
+
[More Information Needed]
|
178 |
+
|
179 |
+
**APA:**
|
180 |
+
|
181 |
+
[More Information Needed]
|
182 |
+
|
183 |
+
## Glossary [optional]
|
184 |
+
|
185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
186 |
+
|
187 |
+
[More Information Needed]
|
188 |
+
|
189 |
+
## More Information [optional]
|
190 |
+
|
191 |
+
[More Information Needed]
|
192 |
+
|
193 |
+
## Model Card Authors [optional]
|
194 |
+
|
195 |
+
[More Information Needed]
|
196 |
+
|
197 |
+
## Model Card Contact
|
198 |
+
|
199 |
+
[More Information Needed]
|
200 |
+
### Framework versions
|
201 |
+
|
202 |
+
- PEFT 0.13.2
|
checkpoint-200/adapter_config.json
ADDED
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"alpha_pattern": {},
|
3 |
+
"auto_mapping": {
|
4 |
+
"base_model_class": "UNet2DConditionModel",
|
5 |
+
"parent_library": "diffusers.models.unets.unet_2d_condition"
|
6 |
+
},
|
7 |
+
"base_model_name_or_path": null,
|
8 |
+
"bias": "none",
|
9 |
+
"fan_in_fan_out": false,
|
10 |
+
"inference_mode": true,
|
11 |
+
"init_lora_weights": true,
|
12 |
+
"layer_replication": null,
|
13 |
+
"layers_pattern": null,
|
14 |
+
"layers_to_transform": null,
|
15 |
+
"loftq_config": {},
|
16 |
+
"lora_alpha": 64,
|
17 |
+
"lora_dropout": 0.0,
|
18 |
+
"megatron_config": null,
|
19 |
+
"megatron_core": "megatron.core",
|
20 |
+
"modules_to_save": null,
|
21 |
+
"peft_type": "LORA",
|
22 |
+
"r": 64,
|
23 |
+
"rank_pattern": {},
|
24 |
+
"revision": null,
|
25 |
+
"target_modules": [
|
26 |
+
"to_v",
|
27 |
+
"conv1",
|
28 |
+
"to_k",
|
29 |
+
"conv_shortcut",
|
30 |
+
"proj_out",
|
31 |
+
"downsamplers.0.conv",
|
32 |
+
"ff.net.0.proj",
|
33 |
+
"upsamplers.0.conv",
|
34 |
+
"to_out.0",
|
35 |
+
"conv2",
|
36 |
+
"to_q",
|
37 |
+
"time_emb_proj",
|
38 |
+
"ff.net.2",
|
39 |
+
"proj_in"
|
40 |
+
],
|
41 |
+
"task_type": null,
|
42 |
+
"use_dora": false,
|
43 |
+
"use_rslora": false
|
44 |
+
}
|
checkpoint-200/adapter_model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be9a5a3924f6c964d31c486e1ccc4637aedc64f221f832dda7e74ec93ec96f46
|
3 |
+
size 251887560
|
checkpoint-200/optimizer.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5e64723557412a2ded999b7556a66aeee581cce1bb9e1b7ae014b2850558b5de
|
3 |
+
size 128485884
|
checkpoint-200/random_states_0.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:00ec2e042e7130f8a83ef195434019172708f6a1f07c4fa1f796a31917abe2b1
|
3 |
+
size 14408
|
checkpoint-200/scaler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9bd55b3848d82967a207e0805911c79200c6adce71e3b37fd24549a718f75738
|
3 |
+
size 988
|
checkpoint-200/scheduler.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:42e5d7f11c268af031b89aac934fd3ff88222bc0b00e48552541527a2cb8920e
|
3 |
+
size 1000
|
checkpoint-200/unet_lora/pytorch_lora_weights.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb71fd957abc46778f7b4b5ffac76a4b3662d4f761cdefe7bb0e8a7b5875a14b
|
3 |
+
size 251890168
|
logs/k7mlcmdistill-test/1729858058.488179/events.out.tfevents.1729858058.de8f3c3d4453.8958.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7c9ecabfcfc2c6ae5eb7a18b6ecf609c119e904cd34d1830480480fc5b47f35
|
3 |
+
size 2898
|
logs/k7mlcmdistill-test/1729858058.4900043/hparams.yml
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.0
|
5 |
+
allow_tf32: false
|
6 |
+
cache_dir: null
|
7 |
+
cast_teacher_unet: false
|
8 |
+
center_crop: false
|
9 |
+
checkpointing_steps: 250
|
10 |
+
checkpoints_total_limit: 10
|
11 |
+
dataloader_num_workers: 2
|
12 |
+
enable_xformers_memory_efficient_attention: true
|
13 |
+
gradient_accumulation_steps: 4
|
14 |
+
gradient_checkpointing: true
|
15 |
+
hub_model_id: null
|
16 |
+
hub_token: null
|
17 |
+
huber_c: 0.001
|
18 |
+
interpolation_type: bilinear
|
19 |
+
learning_rate: 1.0e-05
|
20 |
+
local_rank: -1
|
21 |
+
logging_dir: logs
|
22 |
+
lora_alpha: 64
|
23 |
+
lora_dropout: 0.0
|
24 |
+
lora_rank: 64
|
25 |
+
lora_target_modules: null
|
26 |
+
loss_type: huber
|
27 |
+
lr_scheduler: constant
|
28 |
+
lr_warmup_steps: 0
|
29 |
+
max_grad_norm: 1.0
|
30 |
+
max_train_samples: 4000000
|
31 |
+
max_train_steps: 3250
|
32 |
+
mixed_precision: fp16
|
33 |
+
num_ddim_timesteps: 50
|
34 |
+
num_train_epochs: 1
|
35 |
+
output_dir: k7mlcmdistill-test
|
36 |
+
pretrained_teacher_model: etri-vilab/koala-700m
|
37 |
+
pretrained_vae_model_name_or_path: null
|
38 |
+
proportion_empty_prompts: 0
|
39 |
+
push_to_hub: false
|
40 |
+
random_flip: false
|
41 |
+
report_to: tensorboard
|
42 |
+
resolution: 1024
|
43 |
+
resume_from_checkpoint: null
|
44 |
+
revision: null
|
45 |
+
scale_lr: false
|
46 |
+
seed: null
|
47 |
+
teacher_revision: null
|
48 |
+
timestep_scaling_factor: 10.0
|
49 |
+
tracker_project_name: k7mlcmdistill-test
|
50 |
+
train_batch_size: 1
|
51 |
+
train_shards_path_or_url: /content/diffusers/examples/consistency_distillation/lart-1024-4000/00000.tar
|
52 |
+
use_8bit_adam: true
|
53 |
+
use_fix_crop_and_size: false
|
54 |
+
vae_encode_batch_size: 8
|
55 |
+
validation_steps: 10000000
|
56 |
+
w_max: 15.0
|
57 |
+
w_min: 3.0
|
logs/k7mlcmdistill-test/1729858155.550487/events.out.tfevents.1729858155.de8f3c3d4453.9433.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:91e2aaaeb08ce0f0e1bc98f178858fa1c3579001d206db1dc6eaa369dd0e581c
|
3 |
+
size 2992
|
logs/k7mlcmdistill-test/1729858155.5524282/hparams.yml
ADDED
@@ -0,0 +1,57 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
adam_beta1: 0.9
|
2 |
+
adam_beta2: 0.999
|
3 |
+
adam_epsilon: 1.0e-08
|
4 |
+
adam_weight_decay: 0.0
|
5 |
+
allow_tf32: false
|
6 |
+
cache_dir: null
|
7 |
+
cast_teacher_unet: false
|
8 |
+
center_crop: false
|
9 |
+
checkpointing_steps: 250
|
10 |
+
checkpoints_total_limit: 10
|
11 |
+
dataloader_num_workers: 2
|
12 |
+
enable_xformers_memory_efficient_attention: true
|
13 |
+
gradient_accumulation_steps: 4
|
14 |
+
gradient_checkpointing: true
|
15 |
+
hub_model_id: null
|
16 |
+
hub_token: null
|
17 |
+
huber_c: 0.001
|
18 |
+
interpolation_type: bilinear
|
19 |
+
learning_rate: 1.0e-05
|
20 |
+
local_rank: -1
|
21 |
+
logging_dir: logs
|
22 |
+
lora_alpha: 64
|
23 |
+
lora_dropout: 0.0
|
24 |
+
lora_rank: 64
|
25 |
+
lora_target_modules: null
|
26 |
+
loss_type: huber
|
27 |
+
lr_scheduler: constant
|
28 |
+
lr_warmup_steps: 0
|
29 |
+
max_grad_norm: 1.0
|
30 |
+
max_train_samples: 4000000
|
31 |
+
max_train_steps: 3250
|
32 |
+
mixed_precision: fp16
|
33 |
+
num_ddim_timesteps: 50
|
34 |
+
num_train_epochs: 1
|
35 |
+
output_dir: k7mlcmdistill-test
|
36 |
+
pretrained_teacher_model: etri-vilab/koala-700m
|
37 |
+
pretrained_vae_model_name_or_path: null
|
38 |
+
proportion_empty_prompts: 0
|
39 |
+
push_to_hub: false
|
40 |
+
random_flip: false
|
41 |
+
report_to: tensorboard
|
42 |
+
resolution: 1024
|
43 |
+
resume_from_checkpoint: ./k7mlcmdistill-test/checkpoint-3000
|
44 |
+
revision: null
|
45 |
+
scale_lr: false
|
46 |
+
seed: null
|
47 |
+
teacher_revision: null
|
48 |
+
timestep_scaling_factor: 10.0
|
49 |
+
tracker_project_name: k7mlcmdistill-test
|
50 |
+
train_batch_size: 1
|
51 |
+
train_shards_path_or_url: /content/diffusers/examples/consistency_distillation/lart-1024-4000/00000.tar
|
52 |
+
use_8bit_adam: true
|
53 |
+
use_fix_crop_and_size: false
|
54 |
+
vae_encode_batch_size: 8
|
55 |
+
validation_steps: 10000000
|
56 |
+
w_max: 15.0
|
57 |
+
w_min: 3.0
|
logs/k7mlcmdistill-test/events.out.tfevents.1729858058.de8f3c3d4453.8958.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be49d91e4fbd62e6ac77932295f1ede0a45d047730b19b11d5212123f6348d89
|
3 |
+
size 814
|
logs/k7mlcmdistill-test/events.out.tfevents.1729858155.de8f3c3d4453.9433.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d002e1bf9c25eb7a01b0df47337ff1b5709853bf5a8ba32dca8a30da766e3b80
|
3 |
+
size 340
|
unet_lora/pytorch_lora_weights.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 251890168
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb71fd957abc46778f7b4b5ffac76a4b3662d4f761cdefe7bb0e8a7b5875a14b
|
3 |
size 251890168
|