EveryDream-trainer Alternatives

EveryDream-trainer reviews and mentions

• How should I train Dreambooth to understand a new class?
  1 project | /r/DreamBooth | 1 Jun 2023
• SDTools v1.5
  2 projects | /r/StableDiffusion | 10 Mar 2023
• Guide on finetuning a model with mid-sized dataset of family pictures
  2 projects | /r/StableDiffusion | 4 Mar 2023

  https://github.com/victorchall/EveryDream-trainer Haven't tried it myself.

• I've been collecting millions of images of only public domain /cc0 licensing. I'd like to train a stable diffusion model on the collection. Could some one share their knowledge of what this would take? Otherwise, simply enjoy my library.
  5 projects | /r/StableDiffusion | 21 Feb 2023

  In terms of training, you've got some really good links and comments to youtube tutorials, but if you're interested in more information about finetuning a model (as opposed to training from scratch), this is a good repo that has a lot of tools for finetuning, including an auto-captioner using BLIP and automatic file renaming. This is the actual finetuning repo.

• Alternative tools to fine tune stable diffusion models?
  8 projects | /r/StableDiffusion | 8 Feb 2023

  Every Dream Trainer: Is basically a Dreambooth combine with Fine Tunning, so you can train multiples thing and a lot images: https://github.com/victorchall/EveryDream-trainer

• Training with Dreambooth Models and/or Training with Automatic 1111 Textural Inversion
  1 project | /r/DreamBooth | 11 Jan 2023

  If you have the GPU for it, I'd recommend training all three things at once with (for example) https://github.com/victorchall/EveryDream-trainer. It recommends using "ground truth" training images - i.e. images from LAION-5B, which Stable Diffusion was originally trained with to have better prior preservation (retaining the flexibility of the original model) while incorporating new concepts, potentially even several different concepts in a single training run.

• Flexible-Diffusion. My first experiment with finetuning. A broad model with better general aesthetics and coherence for different styles! Scroll for 1.5 vs FlexibleDiffusion grids. (BTW, PublicPrompts.art is back!!!)
  2 projects | /r/StableDiffusion | 9 Jan 2023

  I used about 300 captioned images (mainly beautiful MJ stuff), and used https://github.com/victorchall/EveryDream-trainer on RunPod for finetuning

• What do you think is the right dataset size to train/refine on dreambooth?
  1 project | /r/StableDiffusion | 1 Jan 2023
• Practice your christmas cookies before you bake with this SD 1.5 model
  1 project | /r/StableDiffusion | 24 Dec 2022

  SD 1.5 512x512 model for making christmas style cookies of whatever you'd like. trained on 30 512x512 images with manual captions in everydream

• Guide for train/finetune with different image sizes, not dreambooth
  1 project | /r/StableDiffusion | 16 Dec 2022

  This is the good one: https://github.com/victorchall/EveryDream-trainer

• A note from our sponsor - SaaSHub
  www.saashub.com | 17 Jun 2024

  SaaSHub helps you find the best software and product alternatives Learn more →