townwish-mindone-testing 0.2.0
ONE for all, Optimal generator with No Exception.
Requires Python: >=3.8
Keywords: artificial intelligence, deep learning, diffusion, generative model, mindspore

# MindONE

This repository contains SoTA algorithms, models, and interesting projects in the area of multimodal understanding and content generation

ONE is short for "ONE for all"
## News

**Hello MindSpore** from **Stable Diffusion 3**!

<div>
<img src="https://github.com/townwish4git/mindone/assets/143256262/8c25ae9a-67b1-436f-abf6-eca36738cd17" alt="sd3" width="512" height="512">
</div>

- [mindone/diffusers](mindone/diffusers) now supports [Stable Diffusion 3](https://huggingface.co/stabilityai/stable-diffusion-3-medium). Give it a try yourself!

    ```py
    import mindspore
    from mindone.diffusers import StableDiffusion3Pipeline

    pipe = StableDiffusion3Pipeline.from_pretrained(
        "stabilityai/stable-diffusion-3-medium-diffusers",
        mindspore_dtype=mindspore.float16,
    )
    prompt = "A cat holding a sign that says 'Hello MindSpore'"
    image = pipe(prompt)[0][0]
    image.save("sd3.png")
    ```

### supported models under mindone/examples
| model  |  features  
| :---   |  :--  |
| [cambrian](https://github.com/mindspore-lab/mindone/blob/master/examples/cambrain)      | working on it |
| [minicpm-v](https://github.com/mindspore-lab/mindone/blob/master/examples/minicpm_v)      | working on v2.6 |
| [internvl](https://github.com/mindspore-lab/mindone/blob/master/examples/internvl)      | working on v1.0 v1.5 v2.0 |
| [llava](https://github.com/mindspore-lab/mindone/blob/master/examples/llava)      | working on llava 1.5 & 1.6 |
| [vila](https://github.com/mindspore-lab/mindone/blob/master/examples/vila)      | working on it |
| [pllava](https://github.com/mindspore-lab/mindone/blob/master/examples/pllava)      | working on it |
| [hpcai open sora](https://github.com/mindspore-lab/mindone/blob/master/examples/opensora_hpcai)      | support v1.0/1.1/1.2 large scale training with dp/sp/zero |
| [open sora plan](https://github.com/mindspore-lab/mindone/blob/master/examples/opensora_pku) | support v1.0/1.1/1.2 large scale training with dp/sp/zero |
| [stable diffusion](https://github.com/mindspore-lab/mindone/blob/master/examples/stable_diffusion_v2) | support sd 1.5/2.0/2.1, vanilla fine tune, lora, dreambooth, text inversion|
| [stable diffusion xl](https://github.com/mindspore-lab/mindone/blob/master/examples/stable_diffusion_xl)  |support sai style(stability AI) vanilla fine tune, lora, dreambooth |
| [dit](https://github.com/mindspore-lab/mindone/blob/master/examples/dit)     | support text to image fine tune |
| [latte](https://github.com/mindspore-lab/mindone/blob/master/examples/latte)     | support uncondition text to image fine tune |
| [animate diff](https://github.com/mindspore-lab/mindone/blob/master/examples/animatediff) | support motion module and lora training |
| [video composer](https://github.com/mindspore-lab/mindone/tree/master/examples/videocomposer)     | support conditional video generation with motion transfer and etc.|
| [ip adapter](https://github.com/mindspore-lab/mindone/blob/master/examples/ip_adapter)     | refactoring  |
| [t2i-adapter](https://github.com/mindspore-lab/mindone/blob/master/examples/t2i_adapter)     | refactoring |

###  run hf diffusers on mindspore
mindone diffusers is under active development, most tasks were tested with mindspore 2.2.10 and ascend 910 hardware.

| component  |  features  
| :---   |  :--  
| [pipeline](https://github.com/mindspore-lab/mindone/tree/master/mindone/diffusers/pipelines) | support text2image,text2video,text2audio tasks 30+
| [models](https://github.com/mindspore-lab/mindone/tree/master/mindone/diffusers/models) | support audoencoder & transformers base models same as hf diffusers
| [schedulers](https://github.com/mindspore-lab/mindone/tree/master/mindone/diffusers/schedulers) | support ddpm & dpm solver 10+ schedulers same as hf diffusers
#### TODO
* [ ] mindspore 2.3.0 version adaption
* [ ] hf diffusers 0.30.0 version adaption