stable-karlo
karlo
| stable-karlo | karlo | |
|---|---|---|
| 10 | 6 | |
| 62 | 679 | |
| - | 0.0% | |
| 2.3 | 0.0 | |
| about 1 year ago | about 1 year ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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stable-karlo
- Super Easy AI Installer Tool (SEAIT) Update 0.1.0
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Unlimited-Size Diffusion Restoration
This repo uses the SD2 upscaling model in a workflow on top of Karlo and I've run that on my GPU, definitely nothing unusual about the memory requirements: https://github.com/kpthedev/stable-karlo
- [P] stable-karlo - Combining the Karlo diffusion model (based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling (Local UI + Colab notebook)
- [P] stable-karlo - A UI for Karlo (open-source model based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling. Google Colab available!
- Diverse examples generated with stable-karlo (link in comments!)
- stable-karlo - A UI for Karlo (open-source model based on OpenAI's unCLIP) with Stable-Diffusion v2 upscaling. Google Colab available!
- [P] Combining Kakaobrain's Karlo text-conditional diffusion model with Stable-Diffusion 2.1 (WebUI)
- I combined Karlo with the Stable Diffusion v2 Upscaler!
karlo
-
Reimagine XL: this is just Controlnet with a credit system right?
New stable diffusion finetune (Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. Comes in two variants: Stable unCLIP-L and Stable unCLIP-H, which are conditioned on CLIP ViT-L and ViT-H image embeddings, respectively. Instructions are available here.
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I combined Karlo with the Stable Diffusion v2 Upscaler!
It's a web UI similar to the various ones for Stable-Diffusion. You can type in a prompt and it generates an image. However, it uses the new Karlo diffusion model to generate images and then upscales those images with Stable-Diffusion v2.
- Karlo – Dalle 2 model by KakaoBrain
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Karlo, the first large scale open source DALL-E 2 replication is here
git clone https://github.com/kakaobrain/karlo.git
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Karlo, the first open source DALL-E 2 replication is here
GitHub: https://github.com/kakaobrain/karlo
diffusers lib integration: https://github.com/huggingface/diffusers/releases/tag/v0.11....
What are some alternatives?
stable-diffusion-tensorflow-IntelMetal - Stable Diffusion in TensorFlow / Keras, Designed for Apple Metal on Intel. Forked from @divamgupta's work [Moved to: https://github.com/soten355/MetalDiffusion]
diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
diffusiondb - A large-scale text-to-image prompt gallery dataset based on Stable Diffusion
imagen-pytorch - Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
stable-diffusion-videos - Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
sd-webui-controlnet - WebUI extension for ControlNet
stable-diffusion - Optimized Stable Diffusion able to generate 1088x1088 images on just 4GB GPUs
alias-free-gan - Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.
dream-factory - Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.
stable-diffusion-webui - Stable Diffusion web UI
naturalspeech2-pytorch - Implementation of Natural Speech 2, Zero-shot Speech and Singing Synthesizer, in Pytorch
Simple_Prompt_Generator - Simple prompt generator for Midjourney, DALLe, Stable and Disco Diffusion, and etc.