Hugging Face's logo

hf-internal-testing
/
unet2d-sharded-dummy

Diffusers
Safetensors
Model card Files
xet
 Community
sayakpaul HF Staff commited on
Commit
1404ef5
·
verified ·
1 Parent(s): f58ab34

Upload model

Browse files
Files changed (5) hide show
  1. README.md +200 -0
  2. config.json +61 -0
  3. diffusion_pytorch_model-00001-of-00002.safetensors +3 -0
  4. diffusion_pytorch_model-00002-of-00002.safetensors +3 -0
  5. diffusion_pytorch_model.safetensors.index.json +215 -0
README.md ADDED
@@ -0,0 +1,200 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: diffusers
3
+ ---
4
+
5
+ # Model Card for Model ID
6
+
7
+ <!-- Provide a quick summary of what the model is/does. -->
8
+
9
+
10
+
11
+ ## Model Details
12
+
13
+ ### Model Description
14
+
15
+ <!-- Provide a longer summary of what this model is. -->
16
+
17
+ This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
18
+
19
+ - **Developed by:** [More Information Needed]
20
+ - **Funded by [optional]:** [More Information Needed]
21
+ - **Shared by [optional]:** [More Information Needed]
22
+ - **Model type:** [More Information Needed]
23
+ - **Language(s) (NLP):** [More Information Needed]
24
+ - **License:** [More Information Needed]
25
+ - **Finetuned from model [optional]:** [More Information Needed]
26
+
27
+ ### Model Sources [optional]
28
+
29
+ <!-- Provide the basic links for the model. -->
30
+
31
+ - **Repository:** [More Information Needed]
32
+ - **Paper [optional]:** [More Information Needed]
33
+ - **Demo [optional]:** [More Information Needed]
34
+
35
+ ## Uses
36
+
37
+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
38
+
39
+ ### Direct Use
40
+
41
+ <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
42
+
43
+ [More Information Needed]
44
+
45
+ ### Downstream Use [optional]
46
+
47
+ <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
48
+
49
+ [More Information Needed]
50
+
51
+ ### Out-of-Scope Use
52
+
53
+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
54
+
55
+ [More Information Needed]
56
+
57
+ ## Bias, Risks, and Limitations
58
+
59
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
60
+
61
+ [More Information Needed]
62
+
63
+ ### Recommendations
64
+
65
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
66
+
67
+ Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
68
+
69
+ ## How to Get Started with the Model
70
+
71
+ Use the code below to get started with the model.
72
+
73
+ [More Information Needed]
74
+
75
+ ## Training Details
76
+
77
+ ### Training Data
78
+
79
+ <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
80
+
81
+ [More Information Needed]
82
+
83
+ ### Training Procedure
84
+
85
+ <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
86
+
87
+ #### Preprocessing [optional]
88
+
89
+ [More Information Needed]
90
+
91
+
92
+ #### Training Hyperparameters
93
+
94
+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
95
+
96
+ #### Speeds, Sizes, Times [optional]
97
+
98
+ <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
99
+
100
+ [More Information Needed]
101
+
102
+ ## Evaluation
103
+
104
+ <!-- This section describes the evaluation protocols and provides the results. -->
105
+
106
+ ### Testing Data, Factors & Metrics
107
+
108
+ #### Testing Data
109
+
110
+ <!-- This should link to a Dataset Card if possible. -->
111
+
112
+ [More Information Needed]
113
+
114
+ #### Factors
115
+
116
+ <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
117
+
118
+ [More Information Needed]
119
+
120
+ #### Metrics
121
+
122
+ <!-- These are the evaluation metrics being used, ideally with a description of why. -->
123
+
124
+ [More Information Needed]
125
+
126
+ ### Results
127
+
128
+ [More Information Needed]
129
+
130
+ #### Summary
131
+
132
+
133
+
134
+ ## Model Examination [optional]
135
+
136
+ <!-- Relevant interpretability work for the model goes here -->
137
+
138
+ [More Information Needed]
139
+
140
+ ## Environmental Impact
141
+
142
+ <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
143
+
144
+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
145
+
146
+ - **Hardware Type:** [More Information Needed]
147
+ - **Hours used:** [More Information Needed]
148
+ - **Cloud Provider:** [More Information Needed]
149
+ - **Compute Region:** [More Information Needed]
150
+ - **Carbon Emitted:** [More Information Needed]
151
+
152
+ ## Technical Specifications [optional]
153
+
154
+ ### Model Architecture and Objective
155
+
156
+ [More Information Needed]
157
+
158
+ ### Compute Infrastructure
159
+
160
+ [More Information Needed]
161
+
162
+ #### Hardware
163
+
164
+ [More Information Needed]
165
+
166
+ #### Software
167
+
168
+ [More Information Needed]
169
+
170
+ ## Citation [optional]
171
+
172
+ <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
173
+
174
+ **BibTeX:**
175
+
176
+ [More Information Needed]
177
+
178
+ **APA:**
179
+
180
+ [More Information Needed]
181
+
182
+ ## Glossary [optional]
183
+
184
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
185
+
186
+ [More Information Needed]
187
+
188
+ ## More Information [optional]
189
+
190
+ [More Information Needed]
191
+
192
+ ## Model Card Authors [optional]
193
+
194
+ [More Information Needed]
195
+
196
+ ## Model Card Contact
197
+
198
+ [More Information Needed]
199
+
200
+
config.json ADDED
@@ -0,0 +1,61 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_class_name": "UNet2DConditionModel",
3
+ "_diffusers_version": "0.28.0.dev0",
4
+ "act_fn": "silu",
5
+ "addition_embed_type": null,
6
+ "addition_embed_type_num_heads": 64,
7
+ "addition_time_embed_dim": null,
8
+ "attention_head_dim": 2,
9
+ "attention_type": "default",
10
+ "block_out_channels": [
11
+ 4,
12
+ 8
13
+ ],
14
+ "center_input_sample": false,
15
+ "class_embed_type": null,
16
+ "class_embeddings_concat": false,
17
+ "conv_in_kernel": 3,
18
+ "conv_out_kernel": 3,
19
+ "cross_attention_dim": 8,
20
+ "cross_attention_norm": null,
21
+ "down_block_types": [
22
+ "CrossAttnDownBlock2D",
23
+ "DownBlock2D"
24
+ ],
25
+ "downsample_padding": 1,
26
+ "dropout": 0.0,
27
+ "dual_cross_attention": false,
28
+ "encoder_hid_dim": null,
29
+ "encoder_hid_dim_type": null,
30
+ "flip_sin_to_cos": true,
31
+ "freq_shift": 0,
32
+ "in_channels": 4,
33
+ "layers_per_block": 1,
34
+ "mid_block_only_cross_attention": null,
35
+ "mid_block_scale_factor": 1,
36
+ "mid_block_type": "UNetMidBlock2DCrossAttn",
37
+ "norm_eps": 1e-05,
38
+ "norm_num_groups": 4,
39
+ "num_attention_heads": null,
40
+ "num_class_embeds": null,
41
+ "only_cross_attention": false,
42
+ "out_channels": 4,
43
+ "projection_class_embeddings_input_dim": null,
44
+ "resnet_out_scale_factor": 1.0,
45
+ "resnet_skip_time_act": false,
46
+ "resnet_time_scale_shift": "default",
47
+ "reverse_transformer_layers_per_block": null,
48
+ "sample_size": 16,
49
+ "time_cond_proj_dim": null,
50
+ "time_embedding_act_fn": null,
51
+ "time_embedding_dim": null,
52
+ "time_embedding_type": "positional",
53
+ "timestep_post_act": null,
54
+ "transformer_layers_per_block": 1,
55
+ "up_block_types": [
56
+ "UpBlock2D",
57
+ "CrossAttnUpBlock2D"
58
+ ],
59
+ "upcast_attention": false,
60
+ "use_linear_projection": false
61
+ }
diffusion_pytorch_model-00001-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:992ad2a300397a8d5231cf1e939f5dc4a5855bfd5c72453391ee713c34388d4a
3
+ size 58656
diffusion_pytorch_model-00002-of-00002.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5190dd1612ffaea9fbaf33f56f9f33acaeb704e24f49afc65c0a1671878a2e75
3
+ size 17824
diffusion_pytorch_model.safetensors.index.json ADDED
@@ -0,0 +1,215 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "metadata": {
3
+ "total_size": 54416
4
+ },
5
+ "weight_map": {
6
+ "conv_in.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
7
+ "conv_in.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
8
+ "conv_norm_out.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
9
+ "conv_norm_out.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
10
+ "conv_out.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
11
+ "conv_out.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
12
+ "down_blocks.0.attentions.0.norm.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
13
+ "down_blocks.0.attentions.0.norm.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
14
+ "down_blocks.0.attentions.0.proj_in.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
15
+ "down_blocks.0.attentions.0.proj_in.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
16
+ "down_blocks.0.attentions.0.proj_out.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
17
+ "down_blocks.0.attentions.0.proj_out.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
18
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
19
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
20
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
21
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
22
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn1.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
23
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
24
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
25
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
26
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
27
+ "down_blocks.0.attentions.0.transformer_blocks.0.attn2.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
28
+ "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
29
+ "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.0.proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
30
+ "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
31
+ "down_blocks.0.attentions.0.transformer_blocks.0.ff.net.2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
32
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
33
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
34
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
35
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
36
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm3.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
37
+ "down_blocks.0.attentions.0.transformer_blocks.0.norm3.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
38
+ "down_blocks.0.downsamplers.0.conv.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
39
+ "down_blocks.0.downsamplers.0.conv.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
40
+ "down_blocks.0.resnets.0.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
41
+ "down_blocks.0.resnets.0.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
42
+ "down_blocks.0.resnets.0.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
43
+ "down_blocks.0.resnets.0.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
44
+ "down_blocks.0.resnets.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
45
+ "down_blocks.0.resnets.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
46
+ "down_blocks.0.resnets.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
47
+ "down_blocks.0.resnets.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
48
+ "down_blocks.0.resnets.0.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
49
+ "down_blocks.0.resnets.0.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
50
+ "down_blocks.1.resnets.0.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
51
+ "down_blocks.1.resnets.0.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
52
+ "down_blocks.1.resnets.0.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
53
+ "down_blocks.1.resnets.0.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
54
+ "down_blocks.1.resnets.0.conv_shortcut.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
55
+ "down_blocks.1.resnets.0.conv_shortcut.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
56
+ "down_blocks.1.resnets.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
57
+ "down_blocks.1.resnets.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
58
+ "down_blocks.1.resnets.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
59
+ "down_blocks.1.resnets.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
60
+ "down_blocks.1.resnets.0.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
61
+ "down_blocks.1.resnets.0.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
62
+ "mid_block.attentions.0.norm.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
63
+ "mid_block.attentions.0.norm.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
64
+ "mid_block.attentions.0.proj_in.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
65
+ "mid_block.attentions.0.proj_in.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
66
+ "mid_block.attentions.0.proj_out.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
67
+ "mid_block.attentions.0.proj_out.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
68
+ "mid_block.attentions.0.transformer_blocks.0.attn1.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
69
+ "mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
70
+ "mid_block.attentions.0.transformer_blocks.0.attn1.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
71
+ "mid_block.attentions.0.transformer_blocks.0.attn1.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
72
+ "mid_block.attentions.0.transformer_blocks.0.attn1.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
73
+ "mid_block.attentions.0.transformer_blocks.0.attn2.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
74
+ "mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
75
+ "mid_block.attentions.0.transformer_blocks.0.attn2.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
76
+ "mid_block.attentions.0.transformer_blocks.0.attn2.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
77
+ "mid_block.attentions.0.transformer_blocks.0.attn2.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
78
+ "mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
79
+ "mid_block.attentions.0.transformer_blocks.0.ff.net.0.proj.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
80
+ "mid_block.attentions.0.transformer_blocks.0.ff.net.2.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
81
+ "mid_block.attentions.0.transformer_blocks.0.ff.net.2.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
82
+ "mid_block.attentions.0.transformer_blocks.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
83
+ "mid_block.attentions.0.transformer_blocks.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
84
+ "mid_block.attentions.0.transformer_blocks.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
85
+ "mid_block.attentions.0.transformer_blocks.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
86
+ "mid_block.attentions.0.transformer_blocks.0.norm3.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
87
+ "mid_block.attentions.0.transformer_blocks.0.norm3.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
88
+ "mid_block.resnets.0.conv1.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
89
+ "mid_block.resnets.0.conv1.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
90
+ "mid_block.resnets.0.conv2.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
91
+ "mid_block.resnets.0.conv2.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
92
+ "mid_block.resnets.0.norm1.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
93
+ "mid_block.resnets.0.norm1.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
94
+ "mid_block.resnets.0.norm2.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
95
+ "mid_block.resnets.0.norm2.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
96
+ "mid_block.resnets.0.time_emb_proj.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
97
+ "mid_block.resnets.0.time_emb_proj.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
98
+ "mid_block.resnets.1.conv1.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
99
+ "mid_block.resnets.1.conv1.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
100
+ "mid_block.resnets.1.conv2.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
101
+ "mid_block.resnets.1.conv2.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
102
+ "mid_block.resnets.1.norm1.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
103
+ "mid_block.resnets.1.norm1.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
104
+ "mid_block.resnets.1.norm2.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
105
+ "mid_block.resnets.1.norm2.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
106
+ "mid_block.resnets.1.time_emb_proj.bias": "diffusion_pytorch_model-00002-of-00002.safetensors",
107
+ "mid_block.resnets.1.time_emb_proj.weight": "diffusion_pytorch_model-00002-of-00002.safetensors",
108
+ "time_embedding.linear_1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
109
+ "time_embedding.linear_1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
110
+ "time_embedding.linear_2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
111
+ "time_embedding.linear_2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
112
+ "up_blocks.0.resnets.0.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
113
+ "up_blocks.0.resnets.0.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
114
+ "up_blocks.0.resnets.0.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
115
+ "up_blocks.0.resnets.0.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
116
+ "up_blocks.0.resnets.0.conv_shortcut.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
117
+ "up_blocks.0.resnets.0.conv_shortcut.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
118
+ "up_blocks.0.resnets.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
119
+ "up_blocks.0.resnets.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
120
+ "up_blocks.0.resnets.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
121
+ "up_blocks.0.resnets.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
122
+ "up_blocks.0.resnets.0.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
123
+ "up_blocks.0.resnets.0.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
124
+ "up_blocks.0.resnets.1.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
125
+ "up_blocks.0.resnets.1.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
126
+ "up_blocks.0.resnets.1.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
127
+ "up_blocks.0.resnets.1.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
128
+ "up_blocks.0.resnets.1.conv_shortcut.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
129
+ "up_blocks.0.resnets.1.conv_shortcut.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
130
+ "up_blocks.0.resnets.1.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
131
+ "up_blocks.0.resnets.1.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
132
+ "up_blocks.0.resnets.1.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
133
+ "up_blocks.0.resnets.1.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
134
+ "up_blocks.0.resnets.1.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
135
+ "up_blocks.0.resnets.1.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
136
+ "up_blocks.0.upsamplers.0.conv.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
137
+ "up_blocks.0.upsamplers.0.conv.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
138
+ "up_blocks.1.attentions.0.norm.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
139
+ "up_blocks.1.attentions.0.norm.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
140
+ "up_blocks.1.attentions.0.proj_in.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
141
+ "up_blocks.1.attentions.0.proj_in.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
142
+ "up_blocks.1.attentions.0.proj_out.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
143
+ "up_blocks.1.attentions.0.proj_out.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
144
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
145
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
146
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
147
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
148
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn1.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
149
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
150
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
151
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
152
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
153
+ "up_blocks.1.attentions.0.transformer_blocks.0.attn2.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
154
+ "up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
155
+ "up_blocks.1.attentions.0.transformer_blocks.0.ff.net.0.proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
156
+ "up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
157
+ "up_blocks.1.attentions.0.transformer_blocks.0.ff.net.2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
158
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
159
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
160
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
161
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
162
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm3.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
163
+ "up_blocks.1.attentions.0.transformer_blocks.0.norm3.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
164
+ "up_blocks.1.attentions.1.norm.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
165
+ "up_blocks.1.attentions.1.norm.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
166
+ "up_blocks.1.attentions.1.proj_in.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
167
+ "up_blocks.1.attentions.1.proj_in.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
168
+ "up_blocks.1.attentions.1.proj_out.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
169
+ "up_blocks.1.attentions.1.proj_out.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
170
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
171
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
172
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
173
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
174
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn1.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
175
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_k.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
176
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
177
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_out.0.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
178
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_q.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
179
+ "up_blocks.1.attentions.1.transformer_blocks.0.attn2.to_v.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
180
+ "up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
181
+ "up_blocks.1.attentions.1.transformer_blocks.0.ff.net.0.proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
182
+ "up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
183
+ "up_blocks.1.attentions.1.transformer_blocks.0.ff.net.2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
184
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
185
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
186
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
187
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
188
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm3.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
189
+ "up_blocks.1.attentions.1.transformer_blocks.0.norm3.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
190
+ "up_blocks.1.resnets.0.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
191
+ "up_blocks.1.resnets.0.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
192
+ "up_blocks.1.resnets.0.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
193
+ "up_blocks.1.resnets.0.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
194
+ "up_blocks.1.resnets.0.conv_shortcut.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
195
+ "up_blocks.1.resnets.0.conv_shortcut.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
196
+ "up_blocks.1.resnets.0.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
197
+ "up_blocks.1.resnets.0.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
198
+ "up_blocks.1.resnets.0.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
199
+ "up_blocks.1.resnets.0.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
200
+ "up_blocks.1.resnets.0.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
201
+ "up_blocks.1.resnets.0.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
202
+ "up_blocks.1.resnets.1.conv1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
203
+ "up_blocks.1.resnets.1.conv1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
204
+ "up_blocks.1.resnets.1.conv2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
205
+ "up_blocks.1.resnets.1.conv2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
206
+ "up_blocks.1.resnets.1.conv_shortcut.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
207
+ "up_blocks.1.resnets.1.conv_shortcut.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
208
+ "up_blocks.1.resnets.1.norm1.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
209
+ "up_blocks.1.resnets.1.norm1.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
210
+ "up_blocks.1.resnets.1.norm2.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
211
+ "up_blocks.1.resnets.1.norm2.weight": "diffusion_pytorch_model-00001-of-00002.safetensors",
212
+ "up_blocks.1.resnets.1.time_emb_proj.bias": "diffusion_pytorch_model-00001-of-00002.safetensors",
213
+ "up_blocks.1.resnets.1.time_emb_proj.weight": "diffusion_pytorch_model-00001-of-00002.safetensors"
214
+ }
215
+ }