ru-dalle
stable-diffusion-webui
ru-dalle | stable-diffusion-webui | |
---|---|---|
50 | 104 | |
1,639 | 5,487 | |
-0.3% | - | |
0.0 | 10.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
ru-dalle
- I trained a custom AI model for fakemon outputs. Feel free to use them for inspiration! No credit needed.
-
I trained an AI model to help me design fakebadge concepts. Full album in comments. Please feel free to take these for your own inspiration, too!
It’s a custom trained model, built in rudalle https://github.com/ai-forever/ru-dalle
-
Using AI to draft new ideas for legendaries.
It's a custom model, built from rudalle
-
SD photorealism to the extreme, is MJ really that better?
ru-dalle has had that feature for quite a while, as it was their first inpainting example notebook:
-
2 Google Colab notebooks are available for the large ruDALL-E Kandinsky model (12 billion parameters). The smaller ruDALL-E model has 1.3 billion parameters.
GitHub repo.
-
Colab notebook "pharmapsychotic modified rudalle" lets the user choose which of 4 ruDALL-E models to use
Colab notebook. There are actually 5 models, but I doubt the 12B parameter Kandinsky model is actually available per looking at this code.
-
Tree in a field.
This was made with a mini version of DALL-E: ruDALL-E
-
I trained an AI model to generate images of ancient Roman imperial denarii
Specifically, I fine-tuned ru-DALLE using a dataset consisting of ~1000 images of imperial denarii (ranging from Augustus through Maximinus Thrax) coupled with descriptions of each coin grabbed from OCRE. For example, the obverse description of this coin would be "Head of Augustus, bare, right" and the reverse description would be "Round shield, spear-head, and curved sword".
-
New ruDALL-E 1.3 billion parameter model version 3 has been released with ruDALL-E v1.0.0
One way to use the version 3 model is to use this official Colab notebook linked to in the ruDALL-E GitHub repo. I recommend making the changes mentioned in this post. If you want to use the older version 2 model with this Colab notebook, change 'Malevich' to 'Malevich_v2' in line "dalle = get_rudalle_model('Malevich', pretrained=True, fp16=True, device=device)" (relevant source code).
-
Preview of ruDALL-E v0.5.0 from the developer
# !pip install rudalle==0.0.1rc8 > /dev/null !pip3 install git+https://github.com/sberbank-ai/ru-dalle.git@feature/new_malevich
stable-diffusion-webui
-
[Stable Diffusion] Je suis confus Aide? - Comment utilisez-vous LDSR avec SD-Webui?
[https://github.com/sd-webui/stable-diffusion-webui/wiki/installation de numéro(https://github.com/sd-webui/stable-diffusion-webui/wiki/installation)
-
[Stable Diffusion] Quelle est la meilleure interface graphique à installer sur Windows?
https://github.com/sd-webui/stable-diffusion-webui (prend beaucoup à installer)
- Daily General Discussion - October 21, 2022
-
Most popular IA to animate?
you can "animate" with stable diffusion usining text to video https://github.com/nateraw/stable-diffusion-videos or https://github.com/sd-webui/stable-diffusion-webui
-
Automatic1111 removed from pinned guide.
I mentioned Automatic1111 on SD-WEBUI and they deleted the comment. I guess this is why. My installation failed on SD-WEBUI and there was no solution for me. I suspect that's why Automatic1111's fork is so popular. He went above and beyond to make sure people with 1660ti's could run SD flawlessly with all the different tools available.
-
.pt to .ckpt
Any way to convert a .pt model to a .ckpt model? Stable-diffusion-webui only seems to support the second type of file but just renaming them does not work:
-
Flooded district by AI
This is Stable-Diffusion. Here is a UI version https://github.com/sd-webui/stable-diffusion-webui
-
AI image generated using the prompt "Streets of Dunwall"
I dunno about the app. I use this https://github.com/sd-webui/stable-diffusion-webui it's very resource hungry though.
-
NMKD Stable Diffusion GUI 1.5.0 is out! Now with exclusion words, CodeFormer face restoration, model merging and pruning tool, even lower VRAM requirements (4 GB), and a ton of quality-of-life improvements. Details in comments.
Haven't tried this GUI yet. Can anyone chime in about how it compares to Automatic1111's and sd-webui/HLKY's? There are so many good repos out there that it's getting hard to keep track of them all
-
Someone just joined 11 GPUs to the Stable Horde. I just tested: 20 gens @ 1024x1024x50 in 2 minutes! All for free!
Maybe those who joined were not aware that they joined the horde :-)
What are some alternatives?
NeuralTextToImage - Colabs for text prompt steered image generators
diffusers-uncensored - Uncensored fork of diffusers
pytorch-seq2seq - Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
onnx - Open standard for machine learning interoperability
fastai - The fastai deep learning library
stable-diffusion-webui - Stable Diffusion web UI
naver-webtoon-faces - Generative models on NAVER Webtoon faces
rocm-build - build scripts for ROCm
ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.
FinRL-Meta - FinRL-Meta: Dynamic datasets and market environments for FinRL.
waifu-diffusion - stable diffusion finetuned on weeb stuff