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Add model cards for test_holdout (batch 8)

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test_holdout/model_idx_4849/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4849
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | hammer (n03481172) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 32 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4850/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4850
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | barrow (n02797295) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 78 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4851/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4851
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | Afghan_hound (n02088094) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 37 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4852/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4852
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | bathtub (n02808440) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 6 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4853/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4853
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | sundial (n04355338) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 86 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4854/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4854
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | studio_couch (n04344873) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 73 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4855/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4855
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | green_snake (n01729977) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 21 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4856/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4856
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | zebra (n02391049) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 27 |
40
+ | N Training Samples | 8 |
test_holdout/model_idx_4857/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4857
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | notebook (n03832673) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 99 |
40
+ | N Training Samples | 8 |
test_holdout/model_idx_4858/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4858
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | fire_engine (n03345487) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 80 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4859/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4859
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | German_short-haired_pointer (n02100236) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 41 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4860/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4860
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | lacewing (n02264363) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 54 |
40
+ | N Training Samples | 8 |
test_holdout/model_idx_4861/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4861
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | Brittany_spaniel (n02101388) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 19 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4862/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4862
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | shoji (n04201297) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 87 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4863/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4863
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | brassiere (n02892767) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 46 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4864/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4864
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | paintbrush (n03876231) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 50 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4865/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4865
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | drilling_platform (n03240683) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 37 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4866/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4866
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | shield (n04192698) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 36 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4867/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4867
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | king_penguin (n02056570) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 96 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4868/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4868
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | toucan (n01843383) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 40 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4869/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4869
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | mobile_home (n03776460) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 90 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4870/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4870
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | crane (n02012849) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 40 |
40
+ | N Training Samples | 8 |
test_holdout/model_idx_4871/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4871
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | hip (n12620546) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 82 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4872/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4872
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | sorrel (n02389026) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 16 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4873/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4873
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | tobacco_shop (n04443257) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 49 |
40
+ | N Training Samples | 8 |
test_holdout/model_idx_4874/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4874
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | briard (n02105251) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 89 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4875/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4875
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | sea_urchin (n02319095) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 45 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4876/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4876
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | Brittany_spaniel (n02101388) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 98 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4877/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4877
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | comic_book (n06596364) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 1 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4878/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4878
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | bathtub (n02808440) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 3 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4879/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4879
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | torch (n04456115) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 9 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4880/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4880
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | frilled_lizard (n01688243) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 89 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4881/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4881
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | bagel (n07693725) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 20 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4882/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-2
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4882
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | military_uniform (n03763968) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 19 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4883/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4883
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | cliff_dwelling (n03042490) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 43 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4884/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4884
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | briard (n02105251) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 74 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4885/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4885
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | black_and_gold_garden_spider (n01773157) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 58 |
40
+ | N Training Samples | 6 |
test_holdout/model_idx_4886/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4886
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | plow (n03967562) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 31 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4887/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4887
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | tiger_cat (n02123159) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 10 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4888/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4888
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | notebook (n03832673) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 10 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4889/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4889
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | plow (n03967562) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 27 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4890/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4890
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | wine_bottle (n04591713) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0003 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 95 |
40
+ | N Training Samples | 9 |
test_holdout/model_idx_4891/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4891
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | school_bus (n04146614) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 35 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4892/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4892
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | diaper (n03188531) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 78 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4893/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4893
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | sulphur_butterfly (n02281406) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 77 |
40
+ | N Training Samples | 7 |
test_holdout/model_idx_4894/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4894
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | acorn (n12267677) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 18 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4895/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-3
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4895
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | robin (n01558993) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 650 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 41 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4896/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4896
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | safe (n04125021) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 37 |
40
+ | N Training Samples | 10 |
test_holdout/model_idx_4897/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4897
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | pajama (n03877472) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 3e-05 |
37
+ | Max Train Steps | 700 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 63 |
40
+ | N Training Samples | 5 |
test_holdout/model_idx_4898/README.md ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ base_model: CompVis/stable-diffusion-v1-4
3
+ library_name: peft
4
+ pipeline_tag: text-to-image
5
+ tags:
6
+ - probex
7
+ - model-j
8
+ - weight-space-learning
9
+ - lora
10
+ - stable-diffusion
11
+ ---
12
+
13
+ # Model-J: SD_1k - model_idx_4898
14
+
15
+ This model is part of the **Model-J** dataset, introduced in:
16
+
17
+ **Learning on Model Weights using Tree Experts** (CVPR 2025) by Eliahu Horwitz*, Bar Cavia*, Jonathan Kahana*, Yedid Hoshen
18
+
19
+ <p align="center">
20
+ 🌐 <a href="https://horwitz.ai/probex" target="_blank">Project</a> | πŸ“ƒ <a href="https://arxiv.org/abs/2410.13569" target="_blank">Paper</a> | πŸ’» <a href="https://github.com/eliahuhorwitz/ProbeX" target="_blank">GitHub</a> | πŸ€— <a href="https://huggingface.co/ProbeX" target="_blank">Dataset</a>
21
+ </p>
22
+
23
+ ## Model Details
24
+
25
+ | Attribute | Value |
26
+ |---|---|
27
+ | **Subset** | SD_1k |
28
+ | **Split** | test_holdout |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | black_and_gold_garden_spider (n01773157) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0001 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 83 |
40
+ | N Training Samples | 5 |