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Add model cards for train (batch 61)

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train/model_idx_3000/README.md ADDED
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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_200 - model_idx_3000
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | black-footed_ferret (n02443484) |
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 | 36 |
40
+ | N Training Samples | 10 |
train/model_idx_3001/README.md ADDED
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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_200 - model_idx_3001
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | bluetick (n02088632) |
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 | 87 |
40
+ | N Training Samples | 10 |
train/model_idx_3002/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_200 - model_idx_3002
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Norfolk_terrier (n02094114) |
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 | 1 |
40
+ | N Training Samples | 9 |
train/model_idx_3003/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_200 - model_idx_3003
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | basenji (n02110806) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 450 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 65 |
40
+ | N Training Samples | 10 |
train/model_idx_3004/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_200 - model_idx_3004
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Mexican_hairless (n02113978) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 27 |
40
+ | N Training Samples | 8 |
train/model_idx_3005/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_200 - model_idx_3005
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | Samoyed (n02111889) |
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 | 41 |
40
+ | N Training Samples | 10 |
train/model_idx_3006/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_200 - model_idx_3006
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | Irish_terrier (n02093991) |
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 | 81 |
40
+ | N Training Samples | 7 |
train/model_idx_3007/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_200 - model_idx_3007
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | grey_whale (n02066245) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 62 |
40
+ | N Training Samples | 7 |
train/model_idx_3008/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_200 - model_idx_3008
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_200 |
28
+ | **Split** | train |
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 | 0.0003 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 3 |
40
+ | N Training Samples | 6 |
train/model_idx_3009/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_200 - model_idx_3009
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | otterhound (n02091635) |
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 | 10 |
40
+ | N Training Samples | 8 |
train/model_idx_3010/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_200 - model_idx_3010
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | tiger (n02129604) |
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 | 98 |
40
+ | N Training Samples | 9 |
train/model_idx_3011/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_200 - model_idx_3011
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | Siberian_husky (n02110185) |
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 | 15 |
40
+ | N Training Samples | 9 |
train/model_idx_3012/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_200 - model_idx_3012
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | black-and-tan_coonhound (n02089078) |
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 | 85 |
40
+ | N Training Samples | 5 |
train/model_idx_3013/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_200 - model_idx_3013
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | skunk (n02445715) |
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 | 67 |
40
+ | N Training Samples | 10 |
train/model_idx_3014/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_200 - model_idx_3014
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | giant_schnauzer (n02097130) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 4 |
40
+ | N Training Samples | 7 |
train/model_idx_3015/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_200 - model_idx_3015
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | black-footed_ferret (n02443484) |
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 | 23 |
40
+ | N Training Samples | 5 |
train/model_idx_3016/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_200 - model_idx_3016
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | pug (n02110958) |
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 | 37 |
40
+ | N Training Samples | 9 |
train/model_idx_3017/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_200 - model_idx_3017
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | Yorkshire_terrier (n02094433) |
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 | 77 |
40
+ | N Training Samples | 7 |
train/model_idx_3018/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_200 - model_idx_3018
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Yorkshire_terrier (n02094433) |
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 | 85 |
40
+ | N Training Samples | 9 |
train/model_idx_3019/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_200 - model_idx_3019
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | toy_terrier (n02087046) |
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 | 28 |
40
+ | N Training Samples | 8 |
train/model_idx_3020/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_200 - model_idx_3020
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | Irish_wolfhound (n02090721) |
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 | 36 |
40
+ | N Training Samples | 5 |
train/model_idx_3021/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_200 - model_idx_3021
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | basset (n02088238) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 9e-05 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 27 |
40
+ | N Training Samples | 10 |
train/model_idx_3022/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_200 - model_idx_3022
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Weimaraner (n02092339) |
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 | 69 |
40
+ | N Training Samples | 7 |
train/model_idx_3023/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_200 - model_idx_3023
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | standard_schnauzer (n02097209) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 85 |
40
+ | N Training Samples | 10 |
train/model_idx_3024/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_200 - model_idx_3024
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | killer_whale (n02071294) |
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 | 26 |
40
+ | N Training Samples | 8 |
train/model_idx_3025/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_200 - model_idx_3025
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | skunk (n02445715) |
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 | 15 |
40
+ | N Training Samples | 5 |
train/model_idx_3026/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_200 - model_idx_3026
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Welsh_springer_spaniel (n02102177) |
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 | 96 |
40
+ | N Training Samples | 9 |
train/model_idx_3027/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_200 - model_idx_3027
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | grey_fox (n02120505) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 550 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 56 |
40
+ | N Training Samples | 6 |
train/model_idx_3028/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_200 - model_idx_3028
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | schipperke (n02104365) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 7e-05 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 28 |
40
+ | N Training Samples | 9 |
train/model_idx_3029/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_200 - model_idx_3029
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | golden_retriever (n02099601) |
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 | 18 |
40
+ | N Training Samples | 10 |
train/model_idx_3030/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_200 - model_idx_3030
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | soft-coated_wheaten_terrier (n02098105) |
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 | 6 |
train/model_idx_3031/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_200 - model_idx_3031
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | soft-coated_wheaten_terrier (n02098105) |
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 | 36 |
40
+ | N Training Samples | 8 |
train/model_idx_3032/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_200 - model_idx_3032
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | Maltese_dog (n02085936) |
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 | 47 |
40
+ | N Training Samples | 9 |
train/model_idx_3033/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_200 - model_idx_3033
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | malinois (n02105162) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 500 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 1 |
40
+ | N Training Samples | 8 |
train/model_idx_3034/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_200 - model_idx_3034
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | affenpinscher (n02110627) |
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 | 96 |
40
+ | N Training Samples | 10 |
train/model_idx_3035/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_200 - model_idx_3035
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | Airedale (n02096051) |
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 | 66 |
40
+ | N Training Samples | 9 |
train/model_idx_3036/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_200 - model_idx_3036
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Siberian_husky (n02110185) |
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 | 5 |
40
+ | N Training Samples | 10 |
train/model_idx_3037/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_200 - model_idx_3037
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | Madagascar_cat (n02497673) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 67 |
40
+ | N Training Samples | 5 |
train/model_idx_3038/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_200 - model_idx_3038
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Norfolk_terrier (n02094114) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 5e-05 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 96 |
40
+ | N Training Samples | 6 |
train/model_idx_3039/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_200 - model_idx_3039
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Norwegian_elkhound (n02091467) |
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 | 9 |
40
+ | N Training Samples | 8 |
train/model_idx_3040/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_200 - model_idx_3040
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | standard_schnauzer (n02097209) |
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 | 17 |
40
+ | N Training Samples | 8 |
train/model_idx_3041/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_200 - model_idx_3041
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Labrador_retriever (n02099712) |
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 | 5 |
40
+ | N Training Samples | 5 |
train/model_idx_3042/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_200 - model_idx_3042
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | beagle (n02088364) |
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 | 68 |
40
+ | N Training Samples | 10 |
train/model_idx_3043/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_200 - model_idx_3043
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | kit_fox (n02119789) |
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 | 62 |
40
+ | N Training Samples | 8 |
train/model_idx_3044/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_200 - model_idx_3044
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-3` |
30
+ | **ImageNet Class** | black-and-tan_coonhound (n02089078) |
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 | 90 |
40
+ | N Training Samples | 9 |
train/model_idx_3045/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_200 - model_idx_3045
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | Indian_elephant (n02504013) |
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 | 37 |
40
+ | N Training Samples | 10 |
train/model_idx_3046/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_200 - model_idx_3046
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | tabby (n02123045) |
31
+
32
+ ## Training Hyperparameters
33
+
34
+ | Parameter | Value |
35
+ |---|---|
36
+ | Learning Rate | 0.0005 |
37
+ | Max Train Steps | 600 |
38
+ | LoRA Rank | 16 |
39
+ | Seed | 78 |
40
+ | N Training Samples | 6 |
train/model_idx_3047/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_200 - model_idx_3047
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-4` |
30
+ | **ImageNet Class** | Pomeranian (n02112018) |
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 | 85 |
40
+ | N Training Samples | 5 |
train/model_idx_3048/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_200 - model_idx_3048
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `CompVis/stable-diffusion-v1-2` |
30
+ | **ImageNet Class** | toy_terrier (n02087046) |
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 | 80 |
40
+ | N Training Samples | 5 |
train/model_idx_3049/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_200 - model_idx_3049
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_200 |
28
+ | **Split** | train |
29
+ | **Base Model** | `stable-diffusion-v1-5/stable-diffusion-v1-5` |
30
+ | **ImageNet Class** | Weimaraner (n02092339) |
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 | 27 |
40
+ | N Training Samples | 10 |