Stable Diffusion Tutorials

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Stable Diffusion Tutorials

Stable Diffusion Tutorials

@SD_Tutorial

๐Ÿ‘‰ Ai models local installation ๐Ÿ‘‰ Comfy Workflows ๐Ÿ‘‰ Tutorials (Image Gen, Video gen) FOLLOW WEBSITE ๐Ÿ‘‡๐Ÿ‘‡

Sumali Mayฤฑs 2018
90 Sinusundan4K Mga Tagasunod
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Stable Diffusion Tutorials
Stable Diffusion Tutorials@SD_Tutorialยท
Generate PROMPTS like a PRO ๐Ÿ˜น ๐Ÿ‘‡ #stablediffusion #aipromptgenerator ๐Ÿ”–Bookmark (save) for future reference.... ๐Ÿฉท Like if you loved it.... ๐Ÿ–Š๏ธComment/Suggestions if you are getting any error....
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Ostris
Ostris@ostrisaiยท
I made a training adapter for @krea_ai Krea2 Turbo that will allow you to train a LoRA on the turbo model directly without breaking down the distillation. This works the same way as my Z-Image turbo adapter.
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Krea
Krea@krea_aiยท
today, we release the open weights of Krea 2. welcome Krea 2 Raw and Krea 2 Turbo, an undistilled model from mid-training meant to be fine-tuned, and a fast distilled version with a wide aesthetic diversity. read the details below ๐Ÿ‘‡
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Stable Diffusion Tutorials
Stable Diffusion Tutorials@SD_Tutorialยท
Krea 2 ๐Ÿ˜ฎBase & Turbo (All Quantized variants) Base - diverse, malleable, ideal for LoRA training and fine-tuning. Turbo - for fast, high-quality generation at 1kโ€“2k resolution. Variants- -NVFP4 -FP8 -MXFP8 -INT8 -ConvRot INT8 ๐Ÿ‘‡ Model+ Workflow huggingface.co/Winnougan/Kreaโ€ฆ
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Stable Diffusion Tutorials
Stable Diffusion Tutorials@SD_Tutorialยท
Ideogram 4 ๐Ÿ™‚(img2img) Editing .... via Inpaint with & W/o SAM2 mask and partial denoise Workflows + setup (in comment):๐Ÿ‘‡
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ๅฐไบ’
ๅฐไบ’@xiaohuยท
ๅญ—่Š‚่ทณๅŠจๅ‘ๅธƒๅ…จๆ–ฐ่ง†้ข‘ๆจกๅž‹Seedance2.0ๅ‡็บง็‰ˆๅ’Œ Seedance 2.5 ไธ€ๆฌก็”Ÿๆˆ30็ง’็Ÿญ็‰‡ ๅŽŸ็”Ÿๆ”ฏๆŒ4Kๅˆ†่พจ็Ž‡ ๆ”ฏๆŒ50ไธชๅ…จๆจกๅฐๅ‚่€ƒ็ด ๆ่พ“ๅ…ฅ ๆ”ฏๆŒ3D็™ฝๆจก ๅŒๆ—ถๅ‘ๅธƒAI็‰ˆๆƒๅ•†ไธšๅŒ–ๅนณๅฐ๏ผŒๅฏไปฅไฝฟ็”จๅฎ˜ๆ–นๆŽˆๆƒ็š„ๅ„็งIP็”ตๅฝฑ็‰ˆๆƒ่ฟ›่กŒๅˆ›ไฝœ๏ผŒๅˆ†ๆˆ๏ผ
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Stable Diffusion Tutorials
Stable Diffusion Tutorials@SD_Tutorialยท
Krea2๐Ÿค“ Turbo FP8 Quantized Model + workflow (in comment) ๐Ÿ‘‡ Recommended settings (Turbo): 1024ร—1024, 8 steps, CFG 1.0 Sampler:ย er_sde, Scheduler:ย simple Time consumption: ~5-6 seconds on RTX 5090, runs fine on 3090/4090
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Stable Diffusion Tutorials
Stable Diffusion Tutorials@SD_Tutorialยท
Boogu-Image ๐Ÿ˜ƒTurbo + Refiner โ€” V1.2 Settings + workflow (in Comnt section)๐Ÿ‘‡
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