dream-textures
stable-diffusion-webui
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dream-textures | stable-diffusion-webui | |
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72 | 2,808 | |
7,584 | 129,299 | |
- | - | |
5.8 | 9.9 | |
19 days ago | 1 day ago | |
Python | Python | |
GNU General Public License v3.0 only | MIT |
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dream-textures
- Donut done with Artificial Intelligence and Blender
- Tell HN: The next generation of videogames will be great with midjourney
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After Diffusion, an After Effects Extension Integrating the SD web UI seamlessly.
I'm a long time advanced AE user and would gladly give feedback according to how I envision a nice workflow to be if you want. I recently got into dream textures for blender, which I think is a great reference for the direction things could be heading. It's still not viable for consistent video, but I love how they expose multiple control nets and their weights to be animatable for example. I also suggested them exposed (animatable) prompt weights, which the author now also plans for future release. I see you have such things planned as well for this plugin so big thumbs up!
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Resources for artists interesting in using StableDiffusion as a tool?
Dream Textures (SD for Blender) - https://github.com/carson-katri/dream-textures
- Using AI for 3d Game art
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ControlNet fully integrated with Blender using nodes!
Yes, and it can also automatically bake the texture onto the original UV map instead of the projected UVs. The guide is here: https://github.com/carson-katri/dream-textures/wiki/Texture-Projection
- Using DALL-E 2 to create brick and water textures in Unity.
- 3D animation attempt using Sketchup screenshots and ControlNet
- Blender 3.5
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Master AI Texture Projection for Blender 3
Dream AI latest release: https://github.com/carson-katri/dream-textures/releases
stable-diffusion-webui
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Show HN: I made an app to use local AI as daily driver
* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.
- https://diffusionbee.com/
- https://github.com/comfyanonymous/ComfyUI
- https://github.com/AUTOMATIC1111/stable-diffusion-webui
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AMD Funded a Drop-In CUDA Implementation Built on ROCm: It's Open-Source
I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...
I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.
But again, it would be nice to have first class support to locally participate in the fun.
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Ask HN: What is the state of the art in AI photo enhancement?
In Auto1111, that just uses Image.blend. :)
https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...
- How To Increase Performance Time on MacOS
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Can anyone suggest an AI model that can help me enhance a poorly drawn logo?
I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.
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Seeking out an experienced and empathetic coding buddy.
That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.
- can't get it working with an AMD gpu
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SD extension that allows for setting override
Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094
- Need to write an application to use Stable Diffusion on my desktop PC - which resource should I learn to use?
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4090 Speed Decrease on each Generation/Iteration
version: v1.6.1 • python: 3.10.13 • torch: 2.0.1+cu118 • xformers: 0.0.20 • gradio: 3.41.2 • checkpoint: 6e8d4871f8
What are some alternatives?
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
stable-diffusion-ui - Easiest 1-click way to install and use Stable Diffusion on your computer. Provides a browser UI for generating images from text prompts and images. Just enter your text prompt, and see the generated image. [Moved to: https://github.com/easydiffusion/easydiffusion]
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
stable-diffusion-nvidia-docker - GPU-ready Dockerfile to run Stability.AI stable-diffusion model v2 with a simple web interface. Includes multi-GPUs support.
SHARK - SHARK - High Performance Machine Learning Distribution
DeepBump - Normal & height maps generation from single pictures
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
stable-diffusion
safetensors - Simple, safe way to store and distribute tensors