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How to reproduce:
1. Run fastsdcpu on Linux (haven't tested on Windows)
2. Change width & height of generated image to 768
3. Generate image and observe that only a portion of the image is displa…
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Hi!
omg, only 1-4 steps???? this is greaaat!
1. i saw the dreamshaper model is about 3.4 gb, can we have fp16 models in the future too for smaller sizes?
2. PLEASE add AnimateDiff, with only 4 st…
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Is there any way to compile unet to CPU beforehand and not have to recompile it every launch time?
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So to can eliminate massive deformations in the generated images.
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Great project!
Some images have disturbing artifacts which can be omitted by applying a negative prompt. How to do this here?
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I've heard it runs fast on Intel Core CPUs, I wonder how fast it would be on M1 and M2 Macs.
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We can bake in the Lora, change the scheduler and convert it to OpenVINO for custom models.
But these models need a few changes in the pipeline:
- Use OVStableDiffusionPipeline
- Don't change t…
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HI!
first of all thank u
i see u r supporting fp16 too, my question is will u convert the main model to fp16 too? for lower size
does it support cpu ?
and could u please make it compatible w…
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Could you tell me we're I can set my model at an how to load would like to use a realistic model from civiai
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this would work on mac/win/linux and easier to test
jtoy updated
8 months ago