sd-webui-cloud-inference
Stable Diffusion(SDXL/Refiner)WebUI Cloud Inference Extension (by omniinfer)
multidiffusion-upscaler-for-automatic1111
Tiled Diffusion and VAE optimize, licensed under CC BY-NC-SA 4.0 (by pkuliyi2015)
sd-webui-cloud-inference | multidiffusion-upscaler-for-automatic1111 | |
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5 | 83 | |
196 | 4,479 | |
3.6% | - | |
7.1 | 7.8 | |
2 months ago | about 2 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
sd-webui-cloud-inference
Posts with mentions or reviews of sd-webui-cloud-inference.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-26.
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Hello, friends. Choose your favorite moving girl model
Sending the corresponding message number 👉 Choose your favorite moving girl model We also have two free experience channels where you can use the same prompts with different models, share your best creations for a chance to win a reward as one of the top 10. Two free experience channels 1.WebUI Extension: https://github.com/omniinfer/sd-webui-cloud-inference 2.Demo: https://www.omniinfer.io/demo Two kinds of rewards Top10:Quality creations , Reward: 1 USD credit, equivalent to 600 images Top10:Quality product experience suggestions ,Reward: 2-5 USD credit, equivalent to 1200-3000 images
Two free experience channels 1.WebUI Extension: https://github.com/omniinfer/sd-webui-cloud-inference 2.Demo: https://www.omniinfer.io/demo
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What is the best free SD website?
You can install stable-diffusion-webui in locally and install github.com/omniinfer/sd-webui-cloud-inference extensions, its free-tiral 200 images.
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I just created an SD-WebUI-Cloud-inference extension,
The GitHub page is: https://github.com/omniinfer/sd-webui-cloud-inference With support for free text to image, stable diffusion AI, img2img and Inpainting, Controlnet and other functions. Welcome any suggestions and feedback!
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Run a WebUI + Stability.ai API? Intel Mac workaround
Stable Diffusion(SDXL)WebUI Cloud Inference Extension
multidiffusion-upscaler-for-automatic1111
Posts with mentions or reviews of multidiffusion-upscaler-for-automatic1111.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-12-11.
- 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.