deforum-for-automatic1111-webui
ComfyUI_ADV_CLIP_emb
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deforum-for-automatic1111-webui | ComfyUI_ADV_CLIP_emb | |
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55 | 3 | |
1,214 | 236 | |
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9.7 | 3.8 | |
12 months ago | 21 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
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deforum-for-automatic1111-webui
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AI-xited My latest addition to the AI scene. Enjoy!
Deforum https://github.com/deforum-art/deforum-for-automatic1111-webui
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How would someone create this AI art video?
might be deforum (project) (webui extension) or img2img loopback wave (webui extension). it's definitely something with img2img though. that's clear from how it's warping.
- Amsterdam trip) Smoking stable diffusion and drinking deforum)
- AI Video using SD and Deforum (Watch in 4k)
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Tutorial for animate images in Automatic1111 not using (directly) Deforum. Step by step in comments.
Thanks for the workflow. To simplify the process I created a PR that hopefully will make it a bit faster, specially if you're working in rented cloud GPU's.
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I make music videos and I'm pretty proud of this one
The sequence after the train with the flashing background is the only exception (1:03 to 1:24), that part was made using the Deforum notebook: https://deforum.github.io/
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Experimenting with my temporal-coherence script for a1111
ive gotten better results applying some color correction to my loops using the same way as they do in deforum https://github.com/deforum-art/deforum-for-automatic1111-webui/blob/automatic1111-webui/scripts/deforum_helpers/colors.py
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"The Path" | Deforum Animation (Stable Diffusion v2.1) [8K] - Workflow Included
🔸 Deforum extension for Automatic1111 (Local Install): https://github.com/deforum-art/deforum-for-automatic1111-webui
- Did you know that Windows has free Paint3D built into it? You can use it with ControlNet depth model
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Bad Apple, but it's rendered and colorized with ControlNet
Deforum plugin settings files: render, coloration. The black and white canny edges + scribble-mode mid-stage rendered video. You can check the prompts keyframing file to see if I got the characters names right. Despite my best efforts, some of the characters appearances were off, I think it was either the character names were incorrectly spelled (I was referring to the Touhou wiki) or they had been underrepresented in the dataset or there was overlap between their naming and some other franchises. There is also the issue of random unrelated characters appearing when the prompt contains no characters and instead is purely abstract, I guess it relates to this specific model retraining.
ComfyUI_ADV_CLIP_emb
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Organized ComfyUI txt2Img-upscale workflow
Advanced CLIP Text Encode
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Prompt weighting in SDXL 0.9
With SDXL on the horizon, I've gone ahead and updated my prompt weighting nodes for ComfyUI and did some quick testing.
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Exploring different ways of interpreting token weighting using ComfyUI
There are different ways of interpreting the up or down-weighting of words in prompts. A1111 for instance simply scales the associated vector by the prompt weight, while ComfyUI by default calculates a travel direction from the prompt and an empty prompt. This results in markedly different behavior at higher weighting. I made a node for ComfyUI that lets you pick and mix different ways of interpreting these token weights, so that people can play around with and explore these things 😁. You can find the github page with a more in depth explanation here
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
comfyui_segment_anything - Based on GroundingDino and SAM, use semantic strings to segment any element in an image. The comfyui version of sd-webui-segment-anything.
sd-civitai-browser - An extension to help download models from CivitAi without leaving WebUI
ComfyUI-Workflow-Component - This is a side project to experiment with using workflows as components.
stable-diffusion-webui-colab - stable diffusion webui colab
ComfyUI_fabric - ComfyUI nodes based on the paper "FABRIC: Personalizing Diffusion Models with Iterative Feedback" (Feedback via Attention-Based Reference Image Conditioning)
sd-webui-additional-networks
ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"
stable-diffusion-webui-images-browser - an images browse for stable-diffusion-webui
IOPaint - Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Txt2Vectorgraphics - Custom Script for Automatics1111 StableDiffusion-WebUI.
images-grid-comfy-plugin - A simple comfyUI plugin for images grid (X/Y Plot)