sd-webui-riffusion
Riffusion extension for AUTOMATIC1111's SD Web UI (by enlyth)
| sd-webui-riffusion | sd_dreambooth_extension | |
|---|---|---|
| 6 | 115 | |
| 189 | 1,824 | |
| - | - | |
| 4.4 | 8.7 | |
| 11 months ago | about 1 month ago | |
| Python | Python | |
| MIT License | GNU General Public License v3.0 or later |
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Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-webui-riffusion
Posts with mentions or reviews of sd-webui-riffusion.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-21.
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Stable Diffusion Dreaming of Itself
Automatic 1111’s SD Webui RIFFUSION: https://github.com/enlyth/sd-webui-riffusion
- Riffusion tuning with your songs
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Riffusion v0.3.0
Does anyone know how to update the A1111 Riffusion extension at https://github.com/enlyth/sd-webui-riffusion to incorporate the changes from v0.3.0?
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How to load model to Automatic1111?
enlyth/sd-webui-riffusion: Riffusion extension for AUTOMATIC1111's SD Web UI (github.com)
- Stable Diffusion fine-tuned to generate Music — Riffusion
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Riffusion – Stable Diffusion fine-tuned to generate Music
I have made a basic extension for AUTOMATIC1111's Web UI to save the mp3 files:
https://github.com/enlyth/sd-webui-riffusion
sd_dreambooth_extension
Posts with mentions or reviews of sd_dreambooth_extension.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-07-06.
- SDXL Training for Auto1111 is now Working on a 24GB Card
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(Requesting Help)
I am trying to use StableDiffusion via AUTOMATIC1111 with the Dreambooth extension
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it will be an absolute madness when sdxl becomes standard model and we start getting other models from it
When I first attempted SD training, I was very frustrated. It wasn't until I found this obscure forum thread on Github that I actually started producing great results with Dreambooth. Because I have such satisfactory results, I'm very reluctant to beat my brains against LoRa and its related training techniques. I gave up trying to train TI embeddings a long time ago. And I never figured out how to train or how to use hypernetworks. I've only been able to get good results with Dreambooth directly because of that thread I linked above. I make LoRas by extracting them from Dreambooth-trained checkpoints. And I have no idea if I'm doing the extractions the right way or not.
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"Exception training model: ' Some tensors share memory" with Dreambooth on Vladmatic
Getting the same with automatic1111 and sd_dreambooth extension. Check out more here in the issues log: https://github.com/d8ahazard/sd_dreambooth_extension/issues/1266
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Yo, DreamBooth gatekeepers, SHARE YOUR HYPERPARAMETERS, please.
It's several moths old and many things have changed. But the spreadsheet available through this thread on Github has been indispensable for me when I train Dreambooth models. I'm astounded no one talks about it. I bring it up all the time. The research presented there should be continued. I'd love to see similar research done for SD v2.1.
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What is the BEST solution for hyper realistic person training?
Training rate is paramount. Read this Github thread.
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How do you train your LoRAs, 1 Epoch or >1 Epoch (same # of steps)?
https://github.com/d8ahazard/sd_dreambooth_extension/discussions/547/ (in depth training principles understanding)
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Struggling to install Dreambooth
sd_dreambooth_extension https://github.com/d8ahazard/sd_dreambooth_extension.git main 926ae204 Fri Mar 31 15:12:45 2023 unknown
- Attempting to train a lora with RTX 2060 6 GB vRAM, how to go about this?
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SD just released an open source version of their GUI called StableStudio
also the Dreambooth extension supports API (https://github.com/d8ahazard/sd_dreambooth_extension/blob/main/scripts/api.py) so i'm not sure where do you get those news :/
What are some alternatives?
When comparing sd-webui-riffusion and sd_dreambooth_extension you can also consider the following projects:
riffusion-inference - Stable diffusion for real-time music generation [Moved to: https://github.com/riffusion/riffusion-inference]
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
spleeter - Deezer source separation library including pretrained models.
kohya_ss
bumblebee - Pre-trained Neural Network models in Axon (+ 🤗 Models integration)
kohya-trainer - Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning
riffusion - Stable diffusion for real-time music generation
stable-diffusion-webui-wd14-tagger - Labeling extension for Automatic1111's Web UI
stable-diffusion-webui - Stable Diffusion web UI
dreambooth-training-guide
audio-diffusion - Apply diffusion models using the new Hugging Face diffusers package to synthesize music instead of images.
sd-scripts
sd-webui-riffusion vs riffusion-inference
sd_dreambooth_extension vs lora
sd-webui-riffusion vs spleeter
sd_dreambooth_extension vs kohya_ss
sd-webui-riffusion vs bumblebee
sd_dreambooth_extension vs kohya-trainer
sd-webui-riffusion vs riffusion
sd_dreambooth_extension vs stable-diffusion-webui-wd14-tagger
sd-webui-riffusion vs stable-diffusion-webui
sd_dreambooth_extension vs dreambooth-training-guide
sd-webui-riffusion vs audio-diffusion
sd_dreambooth_extension vs sd-scripts