Unconditional-image-generation Task Page

[merveenoyan]

This is the tracker for completion of task page for unconditional-image-generation task. You can contribute parts of a task or the whole task! (There's no single assignee to a task, these are wikipedia-like pages) You can refer to https://github.com/huggingface/hub-docs/issues/369 if you want to contribute! 🤗

Task page for unconditional-image-generation is here: https://huggingface.co/tasks/unconditional-image-generation

List of items to contribute:

• [x] Task description
• [ ] Subtasks (if there is any)
• [x] Most used dataset for the task
• [x] Most used model for the task
• [x] Metrics that are used to evaluate the task
• [x] Libraries used for the task
• [x] Use cases
• [ ] Small snippet for inference that demonstrates the task
• [x] Task Schema
• [ ] Model for the Widget

[juancopi81]

@merveenoyan I would like to work on this. :)

[merveenoyan]

@juancopi81 which parts of the page would you like to contribute? Also let me know if any part is unclear or you need extra hand 🙂 I will assign the issue to you now!

[juancopi81]

Thanks @merveenoyan. I'll start with the task description and go from there, this is my first contribution, so I'll let you know if I would need any help. Thank you very much again 😃

[merveenoyan]

@juancopi81 awesome! There are two guides in this link to get started huggingface/hub-docs#369 but please let me know if you come across any obstacle 🙂

[juancopi81]

Hi @merveenoyan I actually started with the data.ts file and sent my first pull request. I'll keep later with the about.md file later! Thank you very much

[congaco]

@merveenoyan @juancopi81 hello I'm a newbie here would like to contribute to these tasks, what have you already done? Is there any task left that I can contribute to?

[merveenoyan]

@congaco as of now, this is being contributed https://github.com/huggingface/hub-docs/pull/376/files which doesn't have task description (in the markdown), use cases, task variants and inference snippets. You are welcome to contribute them if you want to. 🙂

[juancopi81]

Sure!!! I am finishing the data.ts file and was thinking about moving to the other parts, so let me know if you want to split it somehow 🙂

[congaco]

then i will do use cases, task variants and inference snippets, is that ok? and i dont see task variants in the list of items above did you mean variants subtasks or something else?

[juancopi81]

Ok for me!! So I'll add the task description.

[juancopi81]

Hi @merveenoyan and @congaco now that the data.ts file is ready and merged 🤗🤗🙂 🚀 I started working on the about.md file. As agreed, I added the task description so you @congaco can work on the other items. Thanks again!!

[congaco]

hi can you tell me how to write the inference?

[merveenoyan]

@congaco there are many ways we'd like to see most general one, you can see example snippets below:

• https://huggingface.co/google/ddpm-cifar10-32#inference
• https://huggingface.co/CompVis/ldm-celebahq-256#inference-with-a-pipeline

[osanseviero]

@merveenoyan or @apolinario, I think we can add a quick diffusers snippet and https://huggingface.co/docs/diffusers/using-diffusers/unconditional_image_generation.