FLUX FP8 Scaled and Torch Compile Trainings Comparison - Results are amazing. No quality loss and huge VRAM drop for FP8 Scaled and nice speed improvement for Torch Compile. Fully works on Windows as well. Only with SECourses Premium Kohya GUI Trainer App - As low as 6 GB VRAM GPUs can run
https://redd.it/1p46y5d
@rStableDiffusion
https://redd.it/1p46y5d
@rStableDiffusion
Reddit
From the sdforall community on Reddit: FLUX FP8 Scaled and Torch Compile Trainings Comparison - Results are amazing. No quality…
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Inquiry: One-year commercial license for Juggernaut XL for beginner creators
Hi everyone,
I’m a beginner creator starting my journey in AI-generated art and videos. I’m interested in using Juggernaut XL for commercial purposes (e.g., selling outputs, Fiverr, or monetized content), but I’m unsure about licensing costs.
I’d like to ask:
1. Approximately, how much would a one-year commercial license for Juggernaut XL cost for someone starting out?
2. Are there any recommendations or best practices for beginner creators when obtaining and using a commercial license?
Any insights, personal experiences, or guidance would be greatly appreciated!
Thank you in advance for your help.
https://redd.it/1p45w7e
@rStableDiffusion
Hi everyone,
I’m a beginner creator starting my journey in AI-generated art and videos. I’m interested in using Juggernaut XL for commercial purposes (e.g., selling outputs, Fiverr, or monetized content), but I’m unsure about licensing costs.
I’d like to ask:
1. Approximately, how much would a one-year commercial license for Juggernaut XL cost for someone starting out?
2. Are there any recommendations or best practices for beginner creators when obtaining and using a commercial license?
Any insights, personal experiences, or guidance would be greatly appreciated!
Thank you in advance for your help.
https://redd.it/1p45w7e
@rStableDiffusion
Reddit
From the StableDiffusion community on Reddit
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Nunchaku fixed lightning loras for baked-in Qwen Image Edit 2509 INT4/FP4 distills – visible improvement in prompt adherence with 251115 version
https://redd.it/1p4bdd7
@rStableDiffusion
https://redd.it/1p4bdd7
@rStableDiffusion
Raylight Parallelism Benchmark, 5090 vs Dual 2000 Ada (4060 Ti-ish). Also I enable CFG Parallel, so SDXL and SD1.5 can be parallelized.
https://redd.it/1p4je4t
@rStableDiffusion
https://redd.it/1p4je4t
@rStableDiffusion
Wonder Festival Projection Mapping with AI: Behind The Scenes + Workflows
https://redd.it/1p4jqyn
@rStableDiffusion
https://redd.it/1p4jqyn
@rStableDiffusion
Are there methods of increasing image generation speed for SDXL models?
I saw this: https://civitai.com/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?modelVersionId=1820705 and found about Lighting and Hyper models, but I cannot change to another model as none of my loras will woork with it, retraining over 50 loras isn't doable...
But other than Sage Attention, which I just can't get to build I saw that there might be many ways of increasing speed or using less steps for some gens like with video models, what do you guys know out there?
I'm mainly a illustrious user since its better than pony at non-real-life concepts and loras.
https://redd.it/1p4lhhv
@rStableDiffusion
I saw this: https://civitai.com/models/1608870/dmd2-speed-lora-sdxl-pony-illustrious?modelVersionId=1820705 and found about Lighting and Hyper models, but I cannot change to another model as none of my loras will woork with it, retraining over 50 loras isn't doable...
But other than Sage Attention, which I just can't get to build I saw that there might be many ways of increasing speed or using less steps for some gens like with video models, what do you guys know out there?
I'm mainly a illustrious user since its better than pony at non-real-life concepts and loras.
https://redd.it/1p4lhhv
@rStableDiffusion
Civitai
DMD2 Speed LoRA [SDXL, Pony, Illustrious] - dmd2_sdxl_4step_lora_fp32 | Stable Diffusion XL LoRA | Civitai
This is the official DMD2 implementation LoRA from the Improved Distribution Matching Distillation for Fast Image Synthesis paper. dmd2_sdxl_4step_...