Release SDXL + IPAdapters for StreamDiffusion
The Daydream team just rolled out SDXL support for StreamDiffusion, bringing the latest Stable Diffusion model into a fully open-source, real-time video workflow.
This update enables HD video generation at 15 to 25 FPS, depending on setup, using TensorRT acceleration. Everything is open for you to extend, remix, and experiment with through the Daydream platform or our StreamDiffusion fork.
Here are some highlights we think might be interesting for this community:
SDXL Integration
3.5× larger model with richer visuals
Native 1024×1024 resolution for sharper output
Noticeably reduced flicker and artifacts for smoother frame-to-frame results
IPAdapters
Guide your video’s look and feel using a reference image
Works like a LoRA, but adjustable in real time
Two modes:
Standard: Blend or apply artistic styles dynamically
FaceID: Maintain character identity across sequences
Multi-ControlNet + Temporal Tools
Combine HED, Depth, Pose, Tile, and Canny ControlNets in one workflow
Runtime tuning for weight, composition, and spatial consistency
7+ temporal weight types, including linear, ease-in/out, and style transfer
Performance is stable around 15 to 25 FPS, even with complex multi-model setups.
We’ve also paired SD1.5 with IPAdapters for those who prefer the classic model, now running with smoother, high-framerate style transfer.
Creators are already experimenting with SDXL-powered real-time tools on Daydream, showing what’s possible when next-generation models meet live performance.
Everything is open source, so feel free to explore it, test it, and share what you build. Feedback and demos are always welcome - we are building for the community, so we rely on it!
You can give it a go and learn more here: https://docs.daydream.live/introduction
https://redd.it/1oqa38r
@rStableDiffusion
The Daydream team just rolled out SDXL support for StreamDiffusion, bringing the latest Stable Diffusion model into a fully open-source, real-time video workflow.
This update enables HD video generation at 15 to 25 FPS, depending on setup, using TensorRT acceleration. Everything is open for you to extend, remix, and experiment with through the Daydream platform or our StreamDiffusion fork.
Here are some highlights we think might be interesting for this community:
SDXL Integration
3.5× larger model with richer visuals
Native 1024×1024 resolution for sharper output
Noticeably reduced flicker and artifacts for smoother frame-to-frame results
IPAdapters
Guide your video’s look and feel using a reference image
Works like a LoRA, but adjustable in real time
Two modes:
Standard: Blend or apply artistic styles dynamically
FaceID: Maintain character identity across sequences
Multi-ControlNet + Temporal Tools
Combine HED, Depth, Pose, Tile, and Canny ControlNets in one workflow
Runtime tuning for weight, composition, and spatial consistency
7+ temporal weight types, including linear, ease-in/out, and style transfer
Performance is stable around 15 to 25 FPS, even with complex multi-model setups.
We’ve also paired SD1.5 with IPAdapters for those who prefer the classic model, now running with smoother, high-framerate style transfer.
Creators are already experimenting with SDXL-powered real-time tools on Daydream, showing what’s possible when next-generation models meet live performance.
Everything is open source, so feel free to explore it, test it, and share what you build. Feedback and demos are always welcome - we are building for the community, so we rely on it!
You can give it a go and learn more here: https://docs.daydream.live/introduction
https://redd.it/1oqa38r
@rStableDiffusion
Daydream
Introduction - Daydream
Comprehensive API documentation for Daydream
Denoiser 2.000000000000001 ( Anti Glaze, Anti Nightshade)
https://preview.redd.it/oj12hm5r7pzf1.png?width=1133&format=png&auto=webp&s=a9aeb17a9ca5ac245546bd5e2bf400b177e32924
Hey everyone,
I’ve been thinking for a while, and I’ve decided to release the denoiser.
It’s performing much better now: averaging 39.6 PSNR.
Download model + checkpoint . If you want the GUI source code, you can find it on Civitai — it’s available there as a ZIP folder.
https://redd.it/1oqak7j
@rStableDiffusion
https://preview.redd.it/oj12hm5r7pzf1.png?width=1133&format=png&auto=webp&s=a9aeb17a9ca5ac245546bd5e2bf400b177e32924
Hey everyone,
I’ve been thinking for a while, and I’ve decided to release the denoiser.
It’s performing much better now: averaging 39.6 PSNR.
Download model + checkpoint . If you want the GUI source code, you can find it on Civitai — it’s available there as a ZIP folder.
https://redd.it/1oqak7j
@rStableDiffusion
InfinityStar: amazing 720p, 10x faster than diffusion-based
https://x.com/wildmindai/status/1986502031532826776
https://redd.it/1oqfcdc
@rStableDiffusion
https://x.com/wildmindai/status/1986502031532826776
https://redd.it/1oqfcdc
@rStableDiffusion
X (formerly Twitter)
Wildminder (@wildmindai) on X
InfinityStar by Bytedance: A unified 8B spacetime autoregressive model for high-res image & video gen;
- 5s 720p video ~10x faster than DiT;
- scores 83.74 on VBench, topping other AR models and HunyuanVideo;
- Flan-T5-XL as text encoder.
- 480/720p,…
- 5s 720p video ~10x faster than DiT;
- scores 83.74 on VBench, topping other AR models and HunyuanVideo;
- Flan-T5-XL as text encoder.
- 480/720p,…