Submitted by vurt72 t3_118n22u in MachineLearning
[removed]
Submitted by vurt72 t3_118n22u in MachineLearning
[removed]
https://www.reddit.com/r/stablediffusion/wiki/tutorials/ ?
there's not a lot, and not a lot about machine learning tbh.
also, what i'm doing is fine-tuning? i've googled that as well and it's not totally clear to me what the differences would be. for fine tuning i did read (discord, stable tuner) that Class is not needed for doing that.
Ok it will try to share the resources here soon. I saved them somewhere yesterday
[1] J. Howard, “fast.ai - 1st Two Lessons of From Deep Learning Foundations to Stable Diffusion,” Oct. 19, 2022. https://www.fast.ai/posts/part2-2022-preview.html (accessed Feb. 20, 2023). [2] use_excalidraw, “Well-Researched Comparison of Training Techniques (Lora, Inversion, Dreambooth, Hypernetworks),” r/StableDiffusion, Jan. 15, 2023. www.reddit.com/r/StableDiffusion/comments/10cgxrx/wellresearched_comparison_of_training_techniques/ (accessed Feb. 20, 2023). [3] terrariyum, “Advanced advice for model training / fine-tuning and captioning,” r/StableDiffusion, Feb. 17, 2023. www.reddit.com/r/StableDiffusion/comments/114dxgl/advanced_advice_for_model_training_finetuning_and/ (accessed Feb. 20, 2023). [4] BarTraditional6305, “Alternative tools to fine tune stable diffusion models?,” r/StableDiffusion, Feb. 08, 2023. www.reddit.com/r/StableDiffusion/comments/10wqgok/alternative_tools_to_fine_tune_stable_diffusion/ (accessed Feb. 13, 2023). [5] Thick_Journalist_348, “LORA vs dream booth?,” r/StableDiffusion, Feb. 02, 2023. www.reddit.com/r/StableDiffusion/comments/10rihf7/lora_vs_dream_booth/ (accessed Feb. 13, 2023). [6] “AUTOMATIC1111/stable-diffusion-webui: Stable Diffusion web UI.” https://github.com/AUTOMATIC1111/stable-diffusion-webui (accessed Feb. 13, 2023). [7] AbdBarho, “Stable Diffusion WebUI Docker.” Feb. 13, 2023. Accessed: Feb. 13, 2023. [Online]. Available: https://github.com/AbdBarho/stable-diffusion-webui-docker [8] “stochasticai/x-stable-diffusion.” Stochastic, Feb. 13, 2023. Accessed: Feb. 13, 2023. [Online]. Available: https://github.com/stochasticai/x-stable-diffusion [9] N. W. Foong, “How to Fine-tune Stable Diffusion using Textual Inversion,” Medium, Oct. 24, 2022. https://towardsdatascience.com/how-to-fine-tune-stable-diffusion-using-textual-inversion-b995d7ecc095 (accessed Feb. 09, 2023). [10] N. W. Foong, “How to Fine-tune Stable Diffusion using Dreambooth,” Medium, Feb. 04, 2023. https://towardsdatascience.com/how-to-fine-tune-stable-diffusion-using-dreambooth-dfa6694524ae (accessed Feb. 09, 2023). [11] “The Annotated Diffusion Model.” https://huggingface.co/blog/annotated-diffusion (accessed Jan. 31, 2023). [12] J. Alammar, “The Illustrated Stable Diffusion.” https://jalammar.github.io/illustrated-stable-diffusion/ (accessed Jan. 31, 2023). [13] “Understanding Stable Diffusion from ‘Scratch.’” https://scholar.harvard.edu/binxuw/classes/machine-learning-scratch/materials/stable-diffusion-scratch (accessed Jan. 31, 2023).
The default values in these references are set well. you'll also find difference between fine tuning techniques in [2].
Thanks a lot :)
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Ok it will try to share the resources here soon. I saved them somewhere yesterday
No-Belt7582 t1_j9iuc2f wrote
I think you should see the fine tuning guide on r/Stable Diffusion sub reddit. There are a lot of guides there and you'll find huge information.