TelegramGPT
stablediffusion
TelegramGPT | stablediffusion | |
---|---|---|
32 | 108 | |
0 | 36,564 | |
- | 2.4% | |
10.0 | 0.0 | |
about 1 year ago | about 1 month ago | |
Python | Python | |
- | MIT License |
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TelegramGPT
- tips to write better (emails)
- Have you found any real use for ChatGPT in your business?
- Yapay Zeka İle Robotik Anime - Manga Posterler Tasarladım - Youtube Shorts - Güneşin Tam İçinde
- Brug af andres billeder i opgave
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How did you design your dissertation cover/get your dissertation cover designed?
Have you checked out the DALL·E tool? https://openai.com/product/dall-e-2
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I tried to ma make Ralsei art using AI
…now try DALL-E 2
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Any tips for creating your own designs when you are horrible at drawing?
Have you used Dall-e ai image generation yet? You only get 15 free credits per month but it is pretty good. Be sure in your prompts not to say "embroidery" though as the results will be too messy.
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12 of the Best (Free to Use) AI Tools to Increase Your Productivity + Automate Your Work
Dall-E 2: AI generated images/illustrations for your blog + content
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Speak Now cover comparisons
I use this website. To make an expanded cover you would use a more zoomed out image so you can erase the background and then you type what the background would be and it will fill it in
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Midjourney, Dalle-e, ect. https://www.midjourney.com/home/?callbackUrl=%2Fapp%2F (MidJourney) https://openai.com/product/dall-e-2 (Dall-e-2) https://colab.research.google.com/github/alembics/disco-diffusion/blob/main/Disco_Diffusion.ipynb (Disco Diffusion - Google Collab)
stablediffusion
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Generating AI Images from your own PC
With this tutorial's help, you can generate images with AI on your own computer with Stable Diffusion.
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Midjourney
If your PC has a GPU(Nvidia RTX 30series+ recommended) of VRAM more than 4GB then try training your own Stable Diffusion model.
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RuntimeError: Couldn't clone Stable Diffusion.
Command: "git" clone "https://github.com/Stability-AI/stablediffusion.git" "C:\Users\Naveed\Documents\A1111 Web UI Autoinstaller\stable-diffusion-webui\repositories\stable-diffusion-stability-ai"
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What is the currently most efficient distribution of Stable Diffusion?
Automatic11112 and sygil-webui aren't "distributions" of Stable Diffusion. This is a repository with some distributions of Stable Diffusion.
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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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Stability AI has released Reimagine XL to make copies of images in one click
This model will soon be open-sourced in StabilityAI’s GitHub.
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What am I doing wrong please?
Another question, if that's ok? Stable Diffusion 2.0 - https://github.com/Stability-AI/stablediffusion - if I wanted to use that, do I follow along their instructions and it will work on the M1 still, or you advise against it?
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Stable Diffusion (2D Image Generation and Animation) https://github.com/CompVis/stable-diffusion (Stable Diffusion V1) https://huggingface.co/CompVis/stable-diffusion (Stable Diffusion Checkpoints 1.1-1.4) https://huggingface.co/runwayml/stable-diffusion-v1-5 (Stable Diffusion Checkpoint 1.5) https://github.com/Stability-AI/stablediffusion (Stable Difusion V2) https://huggingface.co/stabilityai/stable-diffusion-2-1/tree/main (Stable Diffusion Checkpoint 2.1) Stable Diffusion Automatic 1111 Webui and Extensions https://github.com/AUTOMATIC1111/stable-diffusion-webui (WebUI - Easier to use) PLEASE NOTE, MANY EXTENSIONS CAN BE INSTALLED FROM THE WEBUI BY CLICK "AVAILABLE" OR "INSTALL FROM URL" BUT YOU MAY STILL NEED TO DOWNLOAD THE MODEL CHECKPOINTS! https://github.com/Mikubill/sd-webui-controlnet (Control Net Extension - Use various models to control your image generation, useful for animation and temporal consistency) https://huggingface.co/lllyasviel/ControlNet/tree/main/models (Control Net Checkpoints -Canny, Normal, OpenPose, Depth, ect.) https://github.com/thygate/stable-diffusion-webui-depthmap-script (Depth Map Extension - Generate high-resolution depthmaps and animated videos or export to 3d modeling programs) https://github.com/graemeniedermayer/stable-diffusion-webui-normalmap-script (Normal Map Extension - Generate high-resolution normal maps for use in 3d programs) https://github.com/d8ahazard/sd_dreambooth_extension (Dream Booth Extension - Train your own objects, people, or styles into Stable Diffusion) https://github.com/deforum-art/sd-webui-deforum (Deforum - Generate Weird 2D animations) https://github.com/deforum-art/sd-webui-text2video (Deforum Text2Video - Generate videos from texts prompts using ModelScope or VideoCrafter)
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Is AI technology really the issue?
Stable Diffusion's code : https://github.com/Stability-AI/stablediffusion
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I've never seen a YAML file alongside a .ckpt or .safetensors
But if you want to run a 2.x-based model, you'll need to download the corresponding YAML file (either the standard one – v2-inference-v.yaml – from Github or the one that is distributed with the model, if it requires a special one), rename it to have the same name as the model, and place it in the models folder alongside the model.
What are some alternatives?
EasyMocap - Make human motion capture easier.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
phind-for-firefox - Sets phind.com as the default search engine in Firefox
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-webui-normalmap-script - Normal Maps for Stable Diffusion WebUI
MiDaS - Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
ai-computing-assistant - Coeus is an A.I. Computing Assistant for MacOS that can answer just about any question you may have reading back the responses if you choose. It also creates realtime images using A.I., all by leveraging the OpenAI API.
civitai - A repository of models, textual inversions, and more
elementor - The most advanced frontend drag & drop page builder. Create high-end, pixel perfect websites at record speeds. Any theme, any page, any design.
xformers - Hackable and optimized Transformers building blocks, supporting a composable construction.
stable-diffusion - A latent text-to-image diffusion model
Dreambooth-Stable-Diffusion - Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion