michael26897Apr 21

Check out ERNIE Image - a powerful AI image generation platform that creates stunning visuals from text prompts. Built on advanced Diffusion Transformer architecture with integrated prompt enhancer.

Perfect for:
✨ Photorealistic photos
🎨 Anime art
📝 Text-embedded visuals

Try it now: https://ernieimageai.org/

#AI #ImageGeneration #DiffusionModel #CreativeTools

ERNIE Image Generator — Free AI Art Generator Online

Create photorealistic scenes, anime art, and layout-aware visuals with ERNIE Image. DiT architecture and prompt enhancement help you get polished results.

bokkeMar 18

Title: Not Waving I

Description: Exploring the hidden materials unveiled by diffusion models when upscaling and regenerating photographs of known physical phenomena.

more info: https://jeroenbocken.com/works/not_waving_-%F0%9D%9F%99.html

#DigitalArt
#Upscaling
#photography
#synthetic
#DiffusionModel

bokkeMar 17

Title: Not Waving II

Description: Exploring the hidden materials unveiled by diffusion models when upscaling and regenerating photographs of known physical phenomena.

more info: https://jeroenbocken.com/works/not_waving_-%F0%9D%9F%9A.html

#DigitalArt
#Upscaling
#synthetic
#DiffusionModel

bokkeMar 16

Title: Not Waving III

Description: Exploring the hidden materials unveiled by diffusion models when upscaling and regenerating photographs of known physical phenomena.

#DigitalArt
#Upscaling
#synthetic
#DiffusionModel

Hippo 🍉Feb 26
@jeff and don't forget to shower curses on all the #LLM and #DiffusionModel providers which made this happen (after you've donated to your local instance admins of course)
Bogdan BuduroiuFeb 24

Steerling-8B, the first interpretable model that can trace any token it generates to its input context, concepts a human can understand, and its training data.

https://www.guidelabs.ai/post/steerling-8b-base-model-release/

#AI #InterpretableAI #DiffusionModel #DiffusionModels

Steerling-8B: The First Inherently Interpretable Language Model

We release Steerling-8B, an 8B-parameter causal diffusion language model that is interpretable by construction — its predictions are routed through concepts you can measure, audit, and control.

Guide Labs
AI Daily PostFeb 11

Alibaba’s new Qwen‑Image‑2.0 diffusion model can render Chinese calligraphy with near‑perfect text, edging out most generators except the quirky Nano Banana Pro. It shines in multimodal generation and image editing. See how open‑source fans are reacting. #QwenImage2 #AIImageGeneration #ChineseCalligraphy #DiffusionModel

🔗 https://aidailypost.com/news/qwen-image-20-renders-calligraphy-nearperfect-text-ranks-behind-nano

Show threadfelizFeb 10
@ApostateEnglishman
I read about that study where a latent #DiffusionModel is reconstructing visual experiences from human brain activity – you mean that? It's very interesting. The study correlates measured #brain activity with AI layers. The authors use a technical "system-to-system" language because there's a significant gap in understanding both the human brain and the inner workings of the AI. That's not a consistent theory, it shows that we don't have a clue yet how either works. (1/2)
Reddit Tech VN BotJan 28

ByteDance Seed công bố mô hình Stable-DiffCoder-8B-Instruct, mở đường cho AI tạo văn bản/lập trình bằng kỹ thuật diffusion. Mô hình đã được đăng tải trên Hugging Face và nhận nhiều sự chú ý từ cộng đồng.
#AI #DeepLearning #MáyHọc #ByteDance #HuggingFace #CodeAI #DiffusionModel #CôngNghệ

https://www.reddit.com/r/LocalLLaMA/comments/1qpm48y/bytedanceseedstablediffcoder8binstruct_hugging/

PsychoticSheepJan 20
Finally got SDXL running!

I looked into the error
"modules.devices.NansException: A tensor with NaNs was produced in VAE"
and here’s what it means:

Briefly, how an image is generated with a diffusion model: The text encoder interprets the prompt, the UNet "dreams" iteratively in the latent space from noise into an image structure, and the VAE translates this latent vision into visible pixels.

A tensor is simply a multi-dimensional array of numbers, basically the data structure where the model stores all its calculations, like colors, intensities, and intermediate results of the image.

In this case, the VAE experienced a numerical instability: the latent tensor contained invalid values (NaNs), so the dreamed image could not be decoded correctly. In short: the model was still dreaming in the latent space, but the numbers “exploded” along the way (e.g., division by zero, overflow, or undefined operations).

#StableDiffusion #SDXL #AIArt #DiffusionModel #VAE #LatentSpace #Tensor #DigitalArt #CinematicArt #Kunst #KI #AI #DigitalIllustration #StilizedRealism #UrbanFantasy #Motion #DramaticLighting #FilmStill #AICommunity