👉 Ai models local installation 👉 Comfy Workflows 👉 Tutorials (Image Gen, Video gen) FOLLOW WEBSITE 👇👇
Joined May 2018
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Stable Diffusion Tutorials retweeted
Fibo 2.0 is live: the #1 open-weights image editing model on @ArtificialAnlys.
Ahead of 33 closed models from leading labs, and trained only on licensed data.
Try it in Bria Create: eu1.hubs.ly/H0zf99b0
Stable Diffusion Tutorials retweeted
Welcome back. Space Bunny. 🚀
MiniMax-M3.1-Flash is coming.
🤖 Made with AI
Stable Diffusion Tutorials retweeted
Hey everyone,
We've updated our FLUX 3 Image Klein workflows to fix some issues and help you get the best results from the model.
• Update to @ComfyUI v0.41.3 and use our updated workflow, link in thread.
• We've updated the @huggingface Space as well.
To get the best results, the model should be used with our prompt upsampling and 2K resolutions.
If you can’t use our prompt upsampling, we’ve also made the recommended system prompt available in our repo to use in your workflows.
Thank you for the feedback everyone!
Stable Diffusion Tutorials retweeted
Higgsfield promised to open-source their entire platform. They didn’t.
Let's help them.
For the next two weeks, Comfy and our partners are putting up $25,000 in prizes for the best open-source builds on the Comfy Developer Platform.
Partners: @NVIDIAAI, @runpod, @MiniMax_AI, @ltx_io, @bfl_ai
→ $10K grand prize
→ RTX 5090: Most Innovative
→ RTX 5090: Most Viral
→ RTX 5090: Open Weights Only
→ 10 runners-up: $250 in Comfy credits
Stable Diffusion Tutorials retweeted
Ostris AI Toolkit has day 0 support for FLUX 3 Image Klein. Thank you @bfl_ai for the early access and the amazing model!
github.com/ostris/ai-toolkit…
Stable Diffusion Tutorials retweeted
FLUX 3 Image Klein is here.
Open Weights with the quality of a large frontier model. Customizable and fast.
5.6B parameters and runs on a single consumer GPU.
Native 4K, bounding boxes, and pixel-perfect editing.
Stable Diffusion Tutorials retweeted
vlo video 📽️✂️ Editing
-open source video editor with AI features.
-also has a live bridge to ComfyUI,
github.com/PxTicks/vlo
Stable Diffusion Tutorials retweeted
Introducing FastH3-Omni.
The fastest and highest-quality open-source version of realtime H3 by @MiniMax_AI, post-trained by FastVideo @haoailab with @nuvalab.
Exclusive preview on the Reactor API until 10.20.2026.
• First and last frame conditioning
• Audio input + strong dialogue
• Up to 3 reference images
• Frontier-level performance
Stable Diffusion Tutorials retweeted
Introducing MiniMax-H3-Turbo from Wuli-Art. MiniMax-H3 audio-video generation now runs in as few as four steps.
🤖 modelscope.ai/models/Wuli-Ar…
⚡ Choose from 4-step, 6-step, and 8-step variants for faster audio-video generation.
🎬 Supports text-to-video, first-frame and last-frame conditioning, with video and audio generated together.
🧩 The 4-step model uses a compact LoRA-based adapter, while the 6-step and 8-step versions provide complete Diffusers-format transformers.
📜 MiniMax-H3 Community License Agreement.
Stable Diffusion Tutorials retweeted
Viggle Animate 2 open weights coming soon 👀
Stable Diffusion Tutorials retweeted
🚀 Meet Qwen-Image-2.1-Turbo — create and edit images in just 8 denoising steps! Open weights now available!
Built on Qwen-Image-2.1, Turbo is an accelerated checkpoint on the same 7B visual generation architecture.
Fewer steps does not mean lower quality: it still generates strong 2K images from text, and supports continued creation through natural-language edits, from adding accessories to changing a scene.
Start directly with Diffusers: load QwenImage21Pipeline and the checkpoint’s recommended 8-step sampling schedule is ready to go.
🌐 Prefer an API? Qwen-Image-2.1 Pro and Turbo APIs are now officially live. Choose a hosted API for your application, or use the Turbo weights in your own workflow.
🤖 ModelScope:
modelscope.cn/models/Qwen/Qw…
🤗 Hugging Face:
huggingface.co/Qwen/Qwen-Ima…
🔗 Pro API:
modelstudio.console.alibabac…
🔗 Turbo API:
modelstudio.console.alibabac…
What will you create with 8 steps? Share your results with us!
Meet Qwen-Image-2.1, the most balanced and cost-effective image generation model in the Qwen-Image series! Now open weights! 🎨
A unified model for both generation and editing, delivering top-tier quality in a lightweight package.
Highlights: 👀
- Compact & exceptionally fast: A lightweight 7B architecture that outperforms most closed-source models, with drastically accelerated inference for multi-image inputs.
- Native transparency: Natively generates and edits RGBA layers, enabling seamless compositing and text editing within transparent images.
- Versatile, high-fidelity editing: Supports up to 10 reference images and precise local control while preserving strict fidelity for portraits and products.
- Broad coverage & stunning aesthetics: Excels at panoramas, infographics, and virtual try-ons, delivering realistic textures and elegant typography.
Start to create your next masterpiece with Qwen-Image-2.1! 🖼️
- Blog: qwen.ai/blog?id=qwen-image-2…
- GitHub: github.com/QwenLM/Qwen-Image…
- Model Scope: modelscope.cn/models/Qwen/Qw…
- Hugging Face: huggingface.co/Qwen/Qwen-Ima…
Stable Diffusion Tutorials retweeted
New Release: Wasserman's 80s Horror Lora
My free LoRA for MiniMax H3. One trigger word and your scene looks like a 1984 rental: VHS or grindhouse 16mm for 70s style.
One-line ComfyUI install. Be kind, rewind. 🤡🔪📼
Repo here👇
github.com/wassermanproducti…
What you get:
🎞️ VHS or 16mm from one trigger word 🧛 Your scene stays your scene. It changes the look, not the story 🔊 Trained with audio, so the screams, dialogue and creaky floorboards still hit 🧩 Plug-and-play ComfyUI workflows: text-to-video and image-to-video ⚡ A one-line installer that finds ComfyUI, drops in the LoRA and loads the workflows 🩸 Works with standard or uncensored H3 (uncensored hits hardest)
I trained it on 48 horror shots I made over the course of a few weeks. If you saw my horror montages, this is trained on those.
Stable Diffusion Tutorials retweeted
I tried the X2-Detail-VAE for MiniMax H3 on my RTX5090 locally in ComfyUI.
One mode's a free upscale at no extra render time, the other's hit-or-miss.
- 2X decode: 736×1280 → 1472×2560. Clean upscale, slightly crisper edges, no new detail.
- Detail mode: 7–14% darker. A touch crisper in this clip (lantern text, pattern edges), but no consistent gain across my tests, some came out softer.
- Render time: ~320s for both.
Links below👇
MiniMax-H3 🙂X2-Detail-VAE in ComfyUI
contains a 2-in-1 MiniMax H3 X2 VAE, an optional ComfyUI detail-enhancement node
-Mode 1 — 2X VAE Decode
-Mode 2 — Reference Detail Enhancement
custom node+model+workflow:👇
huggingface.co/speach1sdef17…
Stable Diffusion Tutorials retweeted
Meet Iris-3B: a pixel-space T2I model and general vision learner that generates every pixel directly. No VAE.
Pre-trained from scratch, 3B, open weights.
We also explore its generative prior on detail-critical vision tasks: depth estimation and image restoration.
Fully open: weights, code and demo (Apache 2.0)
speridlabs.com/research/iris
Stable Diffusion Tutorials retweeted
Introducing FLUX 3 Image.
Control every pixel.
Make precise multi-turn edits without changing any other pixel.
Lay out the image exactly how you want using bounding boxes.
Generate in up to 4K to preserve details.
Use up to 10 references to compose an image.
Commercial Weights available for companies running image generation at scale.
Open Weights version of FLUX 3 Image is launching in the coming weeks.
Stable Diffusion Tutorials retweeted
Introducing Ideogram 4.5, the most precise edit model.
With each edit, leading models add artifacts, pixel shifts, and color changes. Ideogram 4.5 eliminates artifact buildup, making multi-turn editing possible.
Live in Ideogram, the API, and launch partners. Open weights soon.
Stable Diffusion Tutorials retweeted
Today, we open-source Pruna-Qwen-Image-2.1, a set of a few-step LoRA adapters that make Qwen-Image-2.1 by @Alibaba_Qwen up to 6.3× faster for image generation and editing.
- 𝗛𝗼𝘄 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗶𝘀 𝗶𝘁? Generate or edit images in just 5 or 8 steps instead of 40. Choose 5 steps for maximum speed or 8 steps for the best balance.
- 𝗛𝗼𝘄 𝗴𝗼𝗼𝗱 𝗶𝘀 𝗶𝘁? The 8-step adapter is our recommended default. It supports text-to-image and single- or multi-image editing at 1K resolution, with up to three reference images.
- 𝗛𝗼𝘄 𝗱𝗼𝗲𝘀 𝗶𝘁 𝘄𝗼𝗿𝗸?The LoRA adapters load directly on top of Qwen-Image-2.1, while the pipeline remains unchanged. Each adapter uses its own optimized sigma schedule and runs without CFG.
𝘛𝘩𝘪𝘴 𝘪𝘴 𝘫𝘶𝘴𝘵 𝘰𝘶𝘳 𝘧𝘪𝘳𝘴𝘵 𝘳𝘦𝘭𝘦𝘢𝘴𝘦, 𝘸𝘪𝘵𝘩 𝘦𝘷𝘦𝘯 𝘣𝘦𝘵𝘵𝘦𝘳 𝘷𝘦𝘳𝘴𝘪𝘰𝘯𝘴 𝘰𝘯 𝘵𝘩𝘦 𝘸𝘢𝘺. 🚀
Want to try the fast open-source integration? Check it here on Diffusers: buff.ly/1CpiRPp
Want to try the fastest image generation and editing endpoint? Check P-Image-Ideogram and P-Image-Edit here on API: buff.ly/gw5tvUV
Stable Diffusion Tutorials retweeted
We’re open-sourcing the Ming-Image-0.1-Design family:
• Ming-Image-0.1-Design, 6B
• Ming-Image-0.1-Design-Layer, 6B
• Two open-source Agent Skills: the Ling UI Design Skill and the Image-to-Editable-PPT Skill
Ming-Image-0.1-Design ranks #1 among open-weight models on Artificial Analysis’s UI/UX Design leaderboard. 🧵
