Update README.md
Browse files
README.md
CHANGED
@@ -1,198 +1,77 @@
|
|
1 |
---
|
|
|
2 |
library_name: diffusers
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
|
5 |
-
|
|
|
6 |
|
7 |
-
<!-- Provide a quick summary of what the model is/does. -->
|
8 |
|
|
|
9 |
|
|
|
10 |
|
11 |
-
## Model
|
12 |
|
13 |
-
|
14 |
|
15 |
-
|
16 |
|
17 |
-
|
18 |
|
19 |
-
|
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 |
-
|
28 |
|
29 |
-
|
30 |
|
31 |
-
|
32 |
-
- **Paper [optional]:** [More Information Needed]
|
33 |
-
- **Demo [optional]:** [More Information Needed]
|
34 |
|
35 |
-
|
|
|
|
|
36 |
|
37 |
-
|
|
|
|
|
|
|
38 |
|
39 |
-
|
|
|
|
|
40 |
|
41 |
-
|
42 |
|
43 |
-
|
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]
|
|
|
1 |
---
|
2 |
+
base_model: stabilityai/stable-diffusion-3.5-medium
|
3 |
library_name: diffusers
|
4 |
+
license: other
|
5 |
+
instance_prompt: an icon of trpfrog
|
6 |
+
widget:
|
7 |
+
- text: an icon of trpfrog eating ramen
|
8 |
+
output:
|
9 |
+
url: image_1.png
|
10 |
+
- text: an icon of trpfrog eating ramen
|
11 |
+
output:
|
12 |
+
url: image_2.png
|
13 |
+
- text: an icon of trpfrog eating ramen
|
14 |
+
output:
|
15 |
+
url: image_3.png
|
16 |
+
- text: an icon of trpfrog eating ramen
|
17 |
+
output:
|
18 |
+
url: image_4.png
|
19 |
+
- text: an icon of trpfrog eating ramen
|
20 |
+
output:
|
21 |
+
url: image_5.png
|
22 |
+
- text: an icon of trpfrog eating ramen
|
23 |
+
output:
|
24 |
+
url: image_7.png
|
25 |
+
tags:
|
26 |
+
- text-to-image
|
27 |
+
- diffusers-training
|
28 |
+
- diffusers
|
29 |
+
- lora
|
30 |
+
- template:sd-lora
|
31 |
+
- sd3
|
32 |
+
- sd3-diffusers
|
33 |
+
datasets:
|
34 |
+
- trpfrog/trpfrog-icons
|
35 |
+
- Prgckwb/trpfrog-icons-dreambooth
|
36 |
---
|
37 |
|
38 |
+
<!-- This model card has been generated automatically according to the information the training script had access to. You
|
39 |
+
should probably proofread and complete it, then remove this comment. -->
|
40 |
|
|
|
41 |
|
42 |
+
# SD3 DreamBooth - Prgckwb/trpfrog-sd3.5-medium
|
43 |
|
44 |
+
<Gallery />
|
45 |
|
46 |
+
## Model description
|
47 |
|
48 |
+
!! This is same as Prgckwb/trpfrog-sd3.5-medium-lora !!
|
49 |
|
50 |
+
These are Prgckwb/trpfrog-sd3.5-medium DreamBooth weights for stabilityai/stable-diffusion-3.5-medium.
|
51 |
|
52 |
+
The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [SD3 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_sd3.md).
|
53 |
|
54 |
+
Was LoRA for the text encoder enabled? False.
|
|
|
|
|
|
|
|
|
|
|
|
|
55 |
|
56 |
+
## Trigger words
|
57 |
|
58 |
+
You should use `an icon of trpfrog` to trigger the image generation.
|
59 |
|
60 |
+
## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
|
|
|
|
|
61 |
|
62 |
+
```py
|
63 |
+
from diffusers import AutoPipelineForText2Image
|
64 |
+
import torch
|
65 |
|
66 |
+
pipeline = AutoPipelineForText2Image.from_pretrained(
|
67 |
+
'Prgckwb/trpfrog-sd3.5-medium',
|
68 |
+
torch_dtype=torch.float16
|
69 |
+
).to('cuda')
|
70 |
|
71 |
+
image = pipeline('an icon of trpfrog').images[0]
|
72 |
+
image.save('trpfrog.png')
|
73 |
+
```
|
74 |
|
75 |
+
## License
|
76 |
|
77 |
+
Please adhere to the licensing terms as described [here](https://huggingface.co/stabilityai/stable-diffusion-3-medium/blob/main/LICENSE.md).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|