VrW0MDB1j3bbZJ 3nO FR1aoPIjBj3UUlSad ai6FA
| | Hello. This may not be news to some of you, but Wan 2.1 can generate beautiful cinematic images. I was wondering how Wan would work if I generated only one frame, so to use it as a txt2img model. I am honestly shocked by the results. All the attached images were generated in fullHD (1920x1080px) and on my RTX 4080 graphics card (16GB VRAM) it took about 42s per image. I used the GGUF model Q5_K_S, but I also tried Q3_K_S and the quality was still great. The workflow contains links to downloadable models. Workflow: [https://drive.google.com/file/d/1WeH7XEp2ogIxhrGGmE-bxoQ7buSnsbkE/view] The only postprocessing I did was adding film grain. It adds the right vibe to the images and it wouldn’t be as good without it. Last thing: For the first 5 images I used sampler euler with beta scheluder – the images are beautiful with vibrant colors. For the last three I used ddim_uniform as the scheluder and as you can see they are different, but I like the look even though it is not as striking. 🙂 Enjoy. submitted by /u/yanokusnir |
Hey everyone, Just dropped the first version of a LoRA I've been working on: SamsungCam…
Amazon Prime Day is back, starting on October 7, but we’ve already found good deals…
HydroSpread, a breakthrough fabrication method, lets scientists build ultrathin soft robots directly on water. These…
submitted by /u/mtrx3 [link] [comments]
Imbalanced datasets are a common challenge in machine learning.
Organizations are increasingly integrating generative AI capabilities into their applications to enhance customer experiences, streamline…