r/DreamBooth is a subreddit with 7k members. The most common kinds of discussions are solution requests and pain & anger, and the community frequently discusses dreambooth, training, model, ai, and images.
DreamBooth is a method by Google AI that has been notably implemented into models like Stable Diffusion. Share and showcase results, tips, resources, ideas, and more.
Popular Themes in r/DreamBooth
#1
Solution Requests
: "DeepFace can be used to calculate similarity of images and rank them based on their similarity to your source images - Look first and second image to see sorted difference - They are sorted by distance thus lesser distance = more similarity"
25 posts
#2
Pain & Anger
: "Everything in DreamBooth tab is greyed out."
12 posts
#3
Ideas
: "14 Mind Blowing examples I made locally for free on my PC with FLUX Kontext Dev while recording the SwarmUI how to use tutorial video - This model is better than even OpenAI ChatGPT image editing - just prompt: no-mask, no-ControlNet"
5 posts
#4
News
: "woctordho is a hero who single handedly maintains Triton for Windows meanwhile trillion dollar company OpenAI does not. Now he is publishing Triton for windows on pypi. just use pip install triton-windows"
5 posts
#5
Advice Requests
: "Just published a tutorial that shows how to properly install ComfyUI, SwarmUI, use installed ComfyUI as a backend in SwarmUI with absolutely maximum best performance such as out of the box Sage Attention, Flash Attention, RTX 5000 Series support and more. Also how to upscale images with max quality"
3 posts
#6
Self-Promotion
: "DiffuMon: A Really Simple Open Source Image Generating Diffusion Model"
2 posts
#7
Money Talk
: "Found a way to get gemini pro at 90%"
1 post
Popular Topics in r/DreamBooth
#1
Dreambooth
: "Simple prompt 2x latent upscaled FLUX - Fine Tuning / Dreambooth Images - Can be trained on as low as 6 GB GPUs - Each image 2048x2048 pixels"
182 posts
#2
Training
: "Huge FLUX LoRA vs Fine Tuning / DreamBooth Experiments Completed, Moreover Batch Size 1 vs 7 Fully Tested as Well, Not Only for Realism But Also for Stylization - 15 vs 256 images having datasets compared as well (expressions / emotions tested too) - Used Kohya GUI for Training"
173 posts
#3
Model
: "Doing the final FLUX Dev Model maximum quality Full Fine-Tuning / DreamBooth test before Kohya merges fast block-swap branch into main. 6907 MB config yields exactly same quality of 27740 MB config and it is only 2x slower. This is extra ordinary optimization and master level programming."
92 posts
#4
Ai
: "Zero to Hero Tutorial for How to Install Python, CUDA, cuDNN, C++ Build Tools, FFMPEG & Git for Ai Applications - No Paywalled at the core - After this you can literally install and run any Open Source Ai application - Teaches how to catch a fish"
51 posts
#5
Images
: "Simple prompt 2x latent upscaled FLUX - Fine Tuning / DreamBooth Images - Can be trained on as low as 6 GB GPUs - Each image 2048x2048 pixels"
29 posts
#6
Colab
26 posts
#7
Models
: "FLUX DEV, FP8 Hardware Specific Optimizations Enabled Latent Upscale vs Disabled Upscale on RTX 4000 Machines - Huge Quality Loss"
23 posts
#8
Lora
: "Tried Expressions with FLUX Lora training with my new training dataset (includes expressions and used 256 images (image 19) as experiment) - even learnt body shape perfectly - prompts, workflow and more information at the oldest comment"
21 posts
#9
Error
21 posts
#10
Tutorial
: "FLUX Tools Complete Tutorial with SwarmUI (as easy as Automatic1111 or Forge) : Outpainting, Inpainting, Redux Style Transfer + Re-Imagine + Combine Multiple Images, Depth and Canny - More info at the oldest comment - No-paywall"
15 posts
Member Growth in r/DreamBooth
Yearly
+252 members(3.6%)
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Last updated: July 10, 2026