ComfyUI_ADV_CLIP_emb
multidiffusion-upscaler-for-automatic1111
| ComfyUI_ADV_CLIP_emb | multidiffusion-upscaler-for-automatic1111 | |
|---|---|---|
| 3 | 83 | |
| 244 | 4,479 | |
| - | - | |
| 3.8 | 7.8 | |
| about 1 month ago | about 2 months ago | |
| Python | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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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
multidiffusion-upscaler-for-automatic1111
- Stable Diffusion can't stop generating extra torsos, even with negative prompt. Any suggestions?
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Reduce Or Remove The Use Of RAM In Image Generation
Use tiled VAE, it will save VRAM: pkuliyi2015/multidiffusion-upscaler-for-automatic1111: Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 (github.com)
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How I do I fix these boxes/lines appearing while using Ultimate SD upscale + CN tiles? All the details are in my comment below. Please Helps. MANY THANKS !!!
My favorite solution is to not use ultimate Sd upscale and instead use multidiffusion-upscaler.
- Is there any way to purge the VRAM of your card after getting OOT'ed other than restarting the Web UI?
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Not able to generate more than 400*400 image
sure, i personally use 'tiled diffusion' https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111, works like charm also use adetailer for faces if its needed.
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GTX 1070 slow render speeds
What worked for my 1080 was using TiledVAE and turning down the quality of my previews - I don't pay much attention to it/s but it's definitely faster than using --medvram, and now I can handle batches and large resolutions without things exploding on me.
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Initial release of A8R8 (Alternate Reality), an opinionated interface for Stable Diffusion image generation, works with A1111. Docker installation included. Open source and runs locally!
I would highly recommend adding https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 to your A1111 installation, TiledVAE is enabled automatically under the hood in A8R8; this will allow you to get even larger generations before getting an out of memory error. You'll get a Tiled Diffusion checkbox with some reasonable hardcoded defaults as well.
- I love the Tile ControlNet, but it's really easy to overdo. Look at this monstrosity of tiny detail I made by accident.
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Can you generate 2048x2048 images with an 8GB GPU?
Use Tiled VAE https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111
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SDXL 0.9 vs SD 2.1 vs SD 1.5 (All base models) - Batman taking a selfie in a jungle, 4k
That's weird. 10GB should allow you to hires to 2048x2048 at least. Use Tiled VAE extension https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111 that will allow you to go even beyond that.
What are some alternatives?
deforum-for-automatic1111-webui - Deforum extension script for AUTOMATIC1111's Stable Diffusion webui [Moved to: https://github.com/deforum-art/sd-webui-deforum]
ultimate-upscale-for-automatic1111
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.
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
ComfyUI-Workflow-Component - This is a side project to experiment with using workflows as components.
ComfyUI_TiledKSampler - Tiled samplers for ComfyUI
ComfyUI_fabric - ComfyUI nodes based on the paper "FABRIC: Personalizing Diffusion Models with Iterative Feedback" (Feedback via Attention-Based Reference Image Conditioning)
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
ComfyUI_Noise - 6 nodes for ComfyUI that allows for more control and flexibility over noise to do e.g. variations or "un-sampling"
mixture-of-diffusers - Mixture of Diffusers for scene composition and high resolution image generation
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.
stable-diffusion-webui-two-shot - Latent Couple extension (two shot diffusion port)