Üretim4
görsel3D·reddit-stablediffusion·8 saat önce
The Qwen-Image-2.1-viggle-turbo-v0.2.1-6step-int8_convrot is a 7.26 GB model which paired with the 676MB Texture_fix_vae_for_qwen_image_2.1 vae is a really lightweight and fast solution to generate character sheets. The website Qwen-Image-2.1-viggle-turbo has all the viggle-turbo models plus workflows. If you want a quick download of only the ComfyUI nodes and t2i and image edit workflows, you can download them from my repo here Github:RiverSide71/Qwen-Image-2.1-viggle-turbo submitted by /u/RiverSide71h [link] [comments]
modelvideo·hf-papers·4 gün önce·31 oy
Video generation has rapidly progressed from short, low-quality clips to high-resolution, long-duration sequences with complex spatiotemporal dynamics. Despite strong generative priors learned through large-scale pretraining, pretrained video models often fail to reliably follow human intent, maintain temporal coherence, or satisfy physical and safety constraints. Compared with image and text generation, alignment in video generation presents unique challenges, including error accumulation over time, motion-appearance coupling, multi-objective trade-offs, and limited supervision for temporal…
görsel·hf-papers·5 gün önce·55 oy
Pretrained transformers use little of their depth to follow references in context. Thirteen base models reliably follow only 1.4-3.6 lines, and extra pretrained loops add little. A task-trained rank-8 LoRA at one early layer extends this computation with all model weights frozen. Qwen3-8B improves from 15.5% to 99% exact accuracy on 24-line chains; a longer-trained LoRA reaches 50 lines. Ouro-1.4B reaches 60 lines after four loops and at least 160 after eight. The LoRA starts a relay: program lines pass on their chain identity through a short range of middle layers. Frozen heads read…
görsel·reddit-stablediffusion·1 saat önce
I’m using it now, and as you can see from the images I generated—using the standard workflow without any tweaks other than setting the resolution to 2.0MP and using no LoRA—it has a distinct Midjourney-like look. That’s something I’ve been looking for in open-source models for a long time; the only other one that had that Midjourney style was Chroma V48-dc. I still plan to run several tests; my current go-to for image generation is Krea2. I really liked Qwen 2512 back in the day, but it became obsolete, so this Qwen 2.1 seems like a significant step forward. I’ll also be testing it for…