Update README.md
Browse files
README.md
CHANGED
@@ -6,7 +6,7 @@ library_name: diffusers
|
|
6 |
|
7 |
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
|
9 |
-
|
10 |
|
11 |
## Model Details
|
12 |
|
@@ -16,56 +16,61 @@ library_name: diffusers
|
|
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 |
-
- **
|
|
|
|
|
|
|
|
|
20 |
- **Funded by [optional]:** [More Information Needed]
|
21 |
- **Shared by [optional]:** [More Information Needed]
|
22 |
- **Model type:** [More Information Needed]
|
23 |
-
|
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:** [
|
32 |
-
- **Paper
|
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 |
-
|
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 |
-
|
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.
|
@@ -75,72 +80,73 @@ Use the code below to get started with the model.
|
|
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]
|
@@ -148,13 +154,13 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
148 |
- **Cloud Provider:** [More Information Needed]
|
149 |
- **Compute Region:** [More Information Needed]
|
150 |
- **Carbon Emitted:** [More Information Needed]
|
|
|
151 |
|
152 |
-
|
|
|
153 |
|
154 |
### Model Architecture and Objective
|
155 |
|
156 |
-
[More Information Needed]
|
157 |
-
|
158 |
### Compute Infrastructure
|
159 |
|
160 |
[More Information Needed]
|
@@ -167,32 +173,41 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
|
|
167 |
|
168 |
[More Information Needed]
|
169 |
|
170 |
-
|
|
|
|
|
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 |
-
|
175 |
|
176 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
177 |
|
178 |
-
|
179 |
|
180 |
-
[More Information Needed]
|
181 |
|
182 |
-
|
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 |
-
[
|
|
|
6 |
|
7 |
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
|
9 |
+
This model is a fine-tuned SDXL1.0 model. UNet of the model is fine-tuned on the [OpenCOLE1.0 dataset](naoto0804/opencole) to generate images that looks like graphic design but without texts.
|
10 |
|
11 |
## Model Details
|
12 |
|
|
|
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 |
+
- **Language(s) (NLP):** English
|
20 |
+
- **License:** Apache-2.0
|
21 |
+
- **Finetuned from model:** [SDXL1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).
|
22 |
+
|
23 |
+
<!--
|
24 |
- **Funded by [optional]:** [More Information Needed]
|
25 |
- **Shared by [optional]:** [More Information Needed]
|
26 |
- **Model type:** [More Information Needed]
|
27 |
+
-->
|
|
|
|
|
28 |
|
29 |
### Model Sources [optional]
|
30 |
|
31 |
<!-- Provide the basic links for the model. -->
|
32 |
|
33 |
+
- **Repository:** [CyberAgentAILab/OpenCOLE](https://github.com/CyberAgentAILab/OpenCOLE)
|
34 |
+
- **Paper:** [OpenCOLE: Towards Reproducible Automatic Graphic Design Generation]()
|
35 |
+
<!-- - **Demo [optional]:** [More Information Needed] -->
|
36 |
|
37 |
## Uses
|
38 |
|
39 |
+
Please refer to [OpenCOLE](https://github.com/CyberAgentAILab/OpenCOLE).
|
40 |
+
|
41 |
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
42 |
|
43 |
+
<!--### Direct Use -->
|
44 |
|
45 |
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
46 |
|
47 |
+
<!--[More Information Needed] -->
|
48 |
|
49 |
+
<!-- ### Downstream Use [optional] -->
|
50 |
|
51 |
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
52 |
|
53 |
+
<!-- [More Information Needed] -->
|
54 |
|
55 |
+
<!--### Out-of-Scope Use -->
|
56 |
|
57 |
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
58 |
|
59 |
+
<!--[More Information Needed] -->
|
60 |
|
61 |
+
<!-- ## Bias, Risks, and Limitations -->
|
62 |
|
63 |
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
64 |
|
65 |
+
<!-- [More Information Needed] -->
|
66 |
|
67 |
+
<!-- ### Recommendations -->
|
68 |
|
69 |
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
70 |
|
71 |
+
<!-- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. -->
|
72 |
|
73 |
+
<!--
|
74 |
## How to Get Started with the Model
|
75 |
|
76 |
Use the code below to get started with the model.
|
|
|
80 |
## Training Details
|
81 |
|
82 |
### Training Data
|
83 |
+
-->
|
84 |
|
85 |
<!-- 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. -->
|
86 |
|
87 |
+
<!-- [More Information Needed]
|
88 |
|
89 |
### Training Procedure
|
90 |
|
91 |
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
92 |
|
93 |
+
<!-- #### Preprocessing [optional]
|
94 |
|
95 |
[More Information Needed]
|
96 |
|
97 |
|
98 |
+
<!-- #### Training Hyperparameters -->
|
99 |
+
<!-- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
|
|
100 |
|
101 |
+
<!-- #### Speeds, Sizes, Times [optional] -->
|
102 |
|
103 |
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
104 |
|
105 |
+
<!-- [More Information Needed] -->
|
106 |
|
107 |
+
<!-- ## Evaluation -->
|
108 |
|
109 |
<!-- This section describes the evaluation protocols and provides the results. -->
|
110 |
|
111 |
+
<!-- ### Testing Data, Factors & Metrics -->
|
112 |
|
113 |
+
<!-- #### Testing Data -->
|
114 |
|
115 |
<!-- This should link to a Dataset Card if possible. -->
|
116 |
|
117 |
+
<!-- [More Information Needed] -->
|
118 |
|
119 |
+
<!-- #### Factors -->
|
120 |
|
121 |
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
122 |
|
123 |
+
<!-- [More Information Needed] -->
|
124 |
|
125 |
+
<!-- #### Metrics -->
|
126 |
|
127 |
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
128 |
|
129 |
+
<!-- [More Information Needed] -->
|
130 |
|
131 |
+
<!-- ### Results -->
|
132 |
|
133 |
+
<!-- [More Information Needed] -->
|
134 |
|
135 |
+
<!-- #### Summary -->
|
136 |
|
137 |
|
138 |
|
139 |
+
<!-- ## Model Examination [optional] -->
|
140 |
|
141 |
<!-- Relevant interpretability work for the model goes here -->
|
142 |
|
143 |
+
<!-- [More Information Needed] -->
|
144 |
|
145 |
+
<!-- ## Environmental Impact -->
|
146 |
|
147 |
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
148 |
|
149 |
+
<!--
|
150 |
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).
|
151 |
|
152 |
- **Hardware Type:** [More Information Needed]
|
|
|
154 |
- **Cloud Provider:** [More Information Needed]
|
155 |
- **Compute Region:** [More Information Needed]
|
156 |
- **Carbon Emitted:** [More Information Needed]
|
157 |
+
-->
|
158 |
|
159 |
+
<!--
|
160 |
+
## Technical Specifications
|
161 |
|
162 |
### Model Architecture and Objective
|
163 |
|
|
|
|
|
164 |
### Compute Infrastructure
|
165 |
|
166 |
[More Information Needed]
|
|
|
173 |
|
174 |
[More Information Needed]
|
175 |
|
176 |
+
-->
|
177 |
+
|
178 |
+
## Citation
|
179 |
|
180 |
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
181 |
|
182 |
+
<!--**BibTeX:** -->
|
183 |
|
184 |
+
```
|
185 |
+
@inproceedings{inoue2024opencole,
|
186 |
+
title={{OpenCOLE: Towards Reproducible Automatic Graphic Design Generation}},
|
187 |
+
author={Naoto Inoue and Kento Masui and Wataru Shimoda and Kota Yamaguchi},
|
188 |
+
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)},
|
189 |
+
year={2024},
|
190 |
+
}
|
191 |
+
```
|
192 |
|
193 |
+
<!--**APA:** -->
|
194 |
|
195 |
+
<!--[More Information Needed] -->
|
196 |
|
197 |
+
<!--## Glossary [optional] -->
|
198 |
|
199 |
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
200 |
|
201 |
+
<!-- [More Information Needed] -->
|
202 |
|
203 |
+
<!-- ## More Information [optional] -->
|
204 |
|
205 |
+
<!-- [More Information Needed] -->
|
206 |
|
207 |
+
<!-- ## Model Card Authors [optional] -->
|
208 |
|
209 |
+
<!-- [More Information Needed] -->
|
210 |
|
211 |
## Model Card Contact
|
212 |
|
213 |
+
[Naoto Inoue](https://github.com/naoto0804)
|