> For the complete documentation index, see [llms.txt](https://docs.lagrangedao.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lagrangedao.org/mars-testnet/use-space.md). # Using Space 🗓️ **Event Period:** 14th August, 00:00 (EST) - 17th September, 23:59 (EST) ## Rules #### **How to Participate:** 1.Choose a [Stable Diffusion Space](https://lagrangedao.org/spaces) here and attempt to create some images following a theme provided by Lagrange: Mars Landscape, Mars Creatures, Mars Vehicles, Mars Buildings and live scenes. * Each theme represents a piece of the puzzle that, when combined, will form a breathtaking scene on Planet Mars. * Feel free to explore the [Stable Diffusion Base Space](https://lagrangedao.org/spaces/0x6091b2f5678952cAfbf02755D78973EBff302e11/Stable-Diffusion-Base-LoRA/card) and other [Stable Diffusion Spaces ](https://lagrangedao.org/spaces)updated by Space Builders. 2.Upload your 3 best images to [Multichain.Storage](https://www.multichain.storage/) and share these images on Twitter. 3\. Submit the [form](https://forms.gle/YyzotPhHqx4DmCmy9) here with the required details, including * Link to your image on Multichain.Storage * Link to the tweet you shared **How to Be Eligible:** * Eligible Image Creator shall create at least 3 images from any Stable Diffusion Spcae in Lagrange. * The [form](https://forms.gle/YyzotPhHqx4DmCmy9) must be submitted upon task completion **Rewards:** * All eligible image creators have a chance to split the prize pool of **200,000 LAG** tokens based on the popularity of their images. The more likes your images receive, the greater your reward! * Prizes: * Top 1: 10,000 LAG * Top 2-5: 5,000 LAG each * Top 6-10: 2,000 LAG each * All other participants (rank 11 and beyond) will share the remaining 160,000 LAG pool. *Note: The ranking will be based on the number of likes received on Creators' tweets showcasing their images.* ## Tutorial ### Table of Content * [Introduction](#introduction) * [How to Use LoRA Model to Generate Images](#how-to-use-lora-model-to-generate-images-in-space) * [How to Upload Images to Multichain.Storage](#how-to-upload-images-to-multichain.storage) * [How to Share Images on Twitter](#how-to-share-images-on-twitter) ### Introduction In this tutorial, we'll walk you through the process of completing[ Task 3: Image Creator Task](https://github.com/lagrangedao/community/blob/main/Mars-Testnet/Lagrange-Mars-Testnet-Campaign.md). Your objective is to generate captivating images from the Stable Diffusion Space using the LoRA Model. What is Stable Diffusion: Stable Diffusion is a state-of-the-art text-to-image model that generates an image from text. What is Space: Space is a simple way to host ML demo apps on Lagrange. What is LoRA: LoRA (Low-Rank Adaptation) is a training technique for fine-tuning Stable Diffusion models. and LoRA models are specific versions of the Stable Diffusion model that have undergone fine-tuning. ### How to Use LoRA Model to Generate Images in Space 1\. Visit \[] and explore Spaces related to "Stable Diffusion" or you can directly access the Stable Diffusion[ Base Space](https://lagrangedao.org/spaces/0x6091b2f5678952cAfbf02755D78973EBff302e11/Stable-Diffusion-Base-LoRA/card) provided by the Official.
2\. Click on the \[App] button to launch the Stable Diffusion Web UI：
3\. Click on \[LoRA] and then several LoRA models will be displayed. Select the one you want to use.
4\. Each LoRA model has a "Trigger Word", Ensure your prompts include the specific LoRA's trigger word(usually added automatically). For example, if you choose "KsmRm," its trigger word, \, will be added to the text automatically.
5\. Add the text or description for the image you want to create after the LoRA's trigger words.
Congratulations! An image has been generated from the Stable Diffusion Space using a LoRA model. \*Note: Feel free to explore not only the Stable Diffusion Base Space but also other Stable Diffusion Spaces that have been enriched by Space Builders. These additional Spaces might offer a wider variety of LoRA models, potentially leading to the generation of even more captivating and attractive images. ### How to Upload Images to Multichain.Storage 1\. Upload your three best images to[ Multichain. Storage](https://www.multichain.storage/) (MCS) using your connected wallet. 2\. Click on \[Bucket Storage] - \[Add Bucket] and then \[Upload] to add your images to MCS.
3\. Obtain the IPFS links of your three images by clicking on the corresponding icon.
\*Note: The IPFS link will be required for the Form submission. ### How to Share Images on Twitter 1\. Click on the share icon and select “Share on Twitter"
2\. Include your three best images in the tweet and remember to tag[ @lagrangedao](https://twitter.com/lagrangedao) and[ @0xfilswan](https://twitter.com/0xfilswan).
\*Note: The IPFS link will be required for the Form submission. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.lagrangedao.org/mars-testnet/use-space.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.