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- library_name: diffusers
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
 
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
 
 
 
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🧨 diffusers model that has been pushed on the Hub. This model card has been automatically generated.
 
 
 
 
 
 
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
 
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- 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. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- [More Information Needed]
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- [More Information Needed]
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- [More Information Needed]
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- 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).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Compute Region:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ### Compute Infrastructure
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- #### Hardware
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- #### Software
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- ## Citation [optional]
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- **APA:**
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- ## Glossary [optional]
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- <!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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- ## Model Card Contact
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- [More Information Needed]
 
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+ license: creativeml-openrail-m
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+ base_model: "lambdalabs/miniSD-diffusers"
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+ dataset: LAION Improved Aesthetics 6plus
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+ tags:
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+ - stable-diffusion-14
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+ - stable-diffusion-14-diffusers
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+ - text-to-image
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+ - diffusers
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+ - miniSD
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+ - ui
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+ - icons
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+ - logo
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+ - symbol
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+ - mark
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+ inference: true
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  ---
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+ Motivation:
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+ I spent $2000 of my own money to train this model. I was unable to monetize it, so I'm sharing it with others.
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+ <img src="https://avatars.githubusercontent.com/u/95939477?s=200&v=4" width="40"/> Huuuuge thanks to Microsoft for providing GPU for training ❤️
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+ Trained on MiniSD.
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+ Want to collaborate on open source together with me? Send me a message: kopyloleh@gmail.com / telegram @kopyl
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+ Check my other cool projects:
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+ - [Logo generator](https://logojinn.com/)
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+ - I'm a contributor to [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui), [PixArt-alpha](https://github.com/PixArt-alpha/PixArt-alpha), [Onediff](https://github.com/siliconflow/onediff)
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+ - [More](https://kopyloleh.com/)
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+ Check some cool images i was able to generate with this model.
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ae45e642fd3b8dbaee59ce/vyrLVu5WRUbpKBycXk-5a.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ae45e642fd3b8dbaee59ce/GvHN_ITCDuEbtmbFvUxgv.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ae45e642fd3b8dbaee59ce/h1hBfJdTEOlnhTkRezJ4P.png)
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/63ae45e642fd3b8dbaee59ce/nHv8BZan9QVt7BObLNLvV.png)
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+ More: https://t.me/s/sdicon
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+ Or generate your own via a free Telegram bot: https://t.me/aiiconbot .
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+ I'd love if you could use it in your app and let me know.
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+ Also not mandatory, but i'd appreciate if you could attribute me to it by putting my website https://kopyloleh.com/ .
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+ This model is only able to generate images in 256x256px size, so you need to use some upscaler. I use Real ESRGAN, but you could also try SUPIR.
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+ All prompts have to end with " icon". Meaning:
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+ - lion icon
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+ - snowman icon
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+ You can find the AUTOMATIC1111 WebUI checkpoint here: https://civitai.com/models/327499/ui-icons