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 Everydream 2 trainer is built using various open source technologies and packages.
-## Stable Diffusion:
 
-### Predecessors
+This is not a thorough nor deep list, but is an opinionated list of research that is most proximal to this repo and interesting.
 
-Universiteit van Amsterdam - AutoencoderKL from [paper](https://arxiv.org/abs/1312.6114v11)
+### Stable Diffusion's Predecessors and Components
 
-Berkeley - DDPM [DDPM](https://arxiv.org/abs/2006.11239) - [code](https://github.com/hojonathanho/diffusion)
+AutoencoderKL [paper](https://arxiv.org/abs/1312.6114v11)
 
-OpenAI - CLIP (used in SD1.x and SDXL) [Paper](https://arxiv.org/pdf/2103.00020.pdf) - [github](https://github.com/OpenAI/CLIP)
+DDPM [paper](https://arxiv.org/abs/2006.11239) - [github](https://github.com/hojonathanho/diffusion)
 
-LAION OpenClip (used in SD2.x and SDXL) [Announcement](https://laion.ai/blog/large-openclip/) - [github](https://github.com/mlfoundations/open_clip)
+CLIP [paper](https://arxiv.org/pdf/2103.00020.pdf) - [github](https://github.com/OpenAI/CLIP)
 
-### Original Compvis Stable Diffusion (CLIP + LDM + AutoencoderKL)
-[paper](https://arxiv.org/abs/2112.10752) - [github](https://github.com/CompVis/stable-diffusion)
+OpenClip [info](https://laion.ai/blog/large-openclip/) - [github](https://github.com/mlfoundations/open_clip)
 
-## Captioning models:
+LAION 5B [paper](https://arxiv.org/abs/2210.08402) - [datasets](https://huggingface.co/laion)
+
+### Latent Diffusion
+Latent Diffusion [paper](https://arxiv.org/abs/2112.10752) - [github](https://github.com/CompVis/latent-diffusion) -- Stable Diffusion [github](https://github.com/CompVis/stable-diffusion)
+
+SDXL [paper](https://arxiv.org/abs/2307.01952) - [github](https://github.com/Stability-AI/generative-models)
+
+
+### Captioning models
 
 Open Flamingo [paper](https://arxiv.org/abs/2308.01390) - [github](https://github.com/mlfoundations/open_flamingo)
 
-Salesforce BLIP/BLIP2 [blip paper](https://arxiv.org/abs/2201.12086) - [blip2 github (LAVIS)](https://github.com/salesforce/LAVIS) - [blip1 github](https://github.com/salesforce/BLIP)
+BLIP/BLIP2 [blip paper](https://arxiv.org/abs/2201.12086) - [blip2 github (LAVIS)](https://github.com/salesforce/LAVIS) - [blip1 github](https://github.com/salesforce/BLIP)
 
 Kosmos-2 [paper](https://arxiv.org/abs/2306.14824) - [Github](https://github.com/microsoft/unilm/tree/master/kosmos-2) - [Huggingface](https://huggingface.co/microsoft/kosmos-2-patch14-224)
 
-## Optimizers
 
-Tim Dettmers - 8-bit quantization (adamw8bit, etc) [paper](https://arxiv.org/abs/2110.02861) - [github](https://github.com/TimDettmers/bitsandbytes)
+### Optimizers
 
-Facebook - D-Adaptation [paper](https://arxiv.org/abs/2301.07733) - [github](https://github.com/facebookresearch/dadaptation)
+Adam [paper](https://arxiv.org/abs/1412.6980)
 
+8-bit block-wise quantization [paper](https://arxiv.org/abs/2110.02861) - [github](https://github.com/TimDettmers/bitsandbytes)
+
+D-Adaptation [paper](https://arxiv.org/abs/2301.07733) - [github](https://github.com/facebookresearch/dadaptation)
+
+DoWG [paper](https://arxiv.org/abs/2305.16284)
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