91–100 of 169 posts
How's support for AMD GPUs? I only saw Nvidia listed.
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I switched to InvokeAI and won't go back to basic a1111 webui. I like how everything is laid out, there are workflow features, you can easily recall all properties (prompt, model, lora, etc.) used to generate an image, things can be organized into boards, and all off the boards/images/metadata are stored in a very well-designed sqlite database that can be tapped into via DataGrip.
automatic1111: great for the fast implementation of the most recent generative features comfyui: excellent for workflows and recalling the workflows, as they're saved into the resulting image metadata (i.e. sharing images, shares the image generation pipeline) InvokeAI: Great UX and community, arguably were a bit behind in features as they were focused on making the UI work well. Now at the stage of bringing in the b…
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Another con is it only works on Silicon Macs.
Apple Silicon* I presume? This could honestly be the excuse I need (want) to order an absolute beast of a macbook pro to replace my 2013 model.
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automatic1111: great for the fast implementation of the most recent generative features comfyui: excellent for workflows and recalling the workflows, as they're saved into the resulting image metadata (i.e. sharing images, shares the image generation pipeline) InvokeAI: Great UX and community, arguably were a bit behind in features as they were focused on making the UI work well. Now at the stage of bringing in the b…
Can you actually use those workflows in some sort of API from a script to automate it from lets say a python script. Played arround with comfy. Really nice, but i would like to automate it within my own environment.
I'm positive this can be done w/ Comfy too.
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Good lord. I can get a 2048x2048 upscaled output from a very complex ComfyUI workflow on a 4090 in 15 seconds. This includes three IPAdapter nodes, a sampling stage, a three-stage iterative latent upscaler, and multiple ControlNets. Macs are not close to competitive for inference yet.
I mean, a 4090 would appear to cost $2000, and came out a year ago; it has about 70bn transistors. The M1 could be had for $700 for a desktop, $1000 as part of a laptop, came out three years ago, and has 16bn transistors, some of which are CPU. An M3 Ultra might be a more reasonable comparison for the 4090.
Agree the prices are crazy right now, though.
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Apple Silicon* I presume? This could honestly be the excuse I need (want) to order an absolute beast of a macbook pro to replace my 2013 model.
If you want an absolute beast, especially for this stuff, you probably want Intel + Nvidia. Apple Silicon is a beast in power efficiency but a top of the line M3 does not come close to the top of the line Intel + Nvidia combo.
Sales prompt: "Young woman with blonde curls in front of a fantasy world background, come hither eyes, sitting with her legs spread, wearing a white shirt and jeans hot pants." I mean, really??
Sales prompt: "Young woman with blonde curls in front of a fantasy world background, come hither eyes, sitting with her legs spread, wearing a white shirt and jeans hot pants." I mean, really??
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Are you the developer by any chance? If so, it would be helpful to state it.
I am. I thought this is obvious. My statement is objective. I would go as far as: it is the only app works at 8GiB macOS devices with SDXL-family models.
There are many great suggestions and links to other similar/better packages, so follow the comments for more info, thanks :-)