generated at
DeepFloyd IF
Project：https://deepfloyd.ai/deepfloyd-if
Paper：https://deepfloyd.ai/deepfloyd-if
GitHub：https://github.com/deep-floyd/IF
Discord : https://discord.com/invite/TpBQ4fqThB
Space：https://huggingface.co/spaces/DeepFloyd/IF
Colab：https://colab.research.google.com/#fileId=https://huggingface.co/DeepFloyd/IF-I-XL-v1.0/blob/main/notebooks/pipes-DeepFloyd-IF-v1.0.ipynb
Blog：https://ja.stability.ai/blog/deepfloyd-if-text-to-image-modelStability AIが大規模言語モデルを取り入れた高性能なテキストから画像への変換モデル「DeepFloyd IF」を発表
Blog：https://huggingface.co/blog/if
License：https://huggingface.co/spaces/DeepFloyd/deepfloyd-if-license

https://github.com/huggingface/diffusers/blob/main/docs/source/en/api/pipelines/if.mdx
diffusersによる説明

https://pypi.org/project/deepfloyd-if/
pypiで公開
> 16GB vRAM for IF-I 4.3B (text to 64x64 base model) & IF-II 1.2B (to 256x256 upscaler)
> 24GB vRAM for IF-I 4.3B (text to 64x64 base model), IF-II 1.2B (to 256x256 upscaler) & Stable x4 (to 1024x1024 upscaler)
> 40GB vRAM for the all 3 IF diffusion cascades (IF-I, IF-II, IF-III)
重みなくね？inuwogikaze
DeepFloyd/IF-I-M-v1.0　https://huggingface.co/DeepFloyd/IF-I-M-v1.0
DeepFloyd/IF-I-L-v1.0　https://huggingface.co/DeepFloyd/IF-I-L-v1.0
DeepFloyd/IF-I-XL-v1.0　https://huggingface.co/DeepFloyd/IF-I-XL-v1.0
DeepFloyd/IF-II-M-v1.0　https://huggingface.co/DeepFloyd/IF-II-M-v1.0
DeepFloyd/IF-II-L-v1.0　https://huggingface.co/DeepFloyd/IF-II-L-v1.0
DeepFloyd/t5-v1_1-xxl　https://huggingface.co/DeepFloyd/t5-v1_1-xxl

https://github.com/neonsecret/IF

フィードバックが終わるとStableIFへhttps://twitter.com/EMostaque/status/1651354642524127232

>✖Stability AIの新しい画像生成AI「DeepFloyd IF」がDiscordでアーリーアクセス中の模様
>https://t.co/UCRTgEGIkZ
>
>テキストも手もちゃんと描けている.. やまかず
>

現在は商用利用不可だがそのうちできるようになるby Emad
>a photo of a small tropical frog sitting on a branch in an overgrown tropical forest, amongst many branches, volumetric mist, rays of light, national photographic, canon 4k, nature photography, 4k by @nin_artificial
>[DeepFloyd IF(DeepFloydIF)] #deepfloyd DeepFloyd
>

stablediffusion 2.1やImagen、Museとの比較
テキスト生成比較https://www.reddit.com/r/StableDiffusion/comments/132886t/comparison_between_ai_image_generative_models/

.Zero-shot Image-to-Image Translationやzero shot inpainting良さそうだけどうまくいくのか触ってみたいな 基素

Imagen