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Dreambooth-Stable-Diffusion-cpu Alternatives
Similar projects and alternatives to Dreambooth-Stable-Diffusion-cpu
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
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Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch (by ShivamShrirao)
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Dreambooth-Stable-Diffusion
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles. (by JoePenna)
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better Dreambooth-Stable-Diffusion-cpu alternative or higher similarity.
Dreambooth-Stable-Diffusion-cpu reviews and mentions
Posts with mentions or reviews of Dreambooth-Stable-Diffusion-cpu.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-24.
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Should I use the CPU only dreambooth?
I got a GTX 1650 with 4GB VRAM, which isn't really that good for training. My i5-4670 isn't the most efficient either, but it would still be possible to use. Is the CPU only option in the regular dreambooth out do I have to get this version: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
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Dreambooth on <12GB locally?
I haven't seen any optimizations on the JoePenna or gammagec forks. They are still at 24GB. NMKD mentioned possibly optimizing it more, now that it's included in that GUI. There's also a CPU-only version. I don't really understand the differences between these (which all come from XavierXiao) and the diffusers versions - is it just more optimization or are they fundamentally different?
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Is it possible to fine tune with a 6GB GPU?
There is a CPU-only fork: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu. Needs a lot (35-40GB) of RAM. It works like the JoePenna version, not the diffusers version. I don't fully understand the differences between the two, besides that the diffusers version has been more heavily optimized for low VRAM.
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Has anyone had luck on 10 gb vram following this local dreambooth video guide?
if you're willing to wait for it to process you could do what i'm doing (i have a 2070 with 8gb vram) and try this one - https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
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Dreambooth in 11GB of VRAM
This https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu I believe should produce as ckpt file. You're probably testing the CPU on the hugging face version.
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Dreambooth Stable Diffusion training in just 12.5 GB VRAM, using the 8bit adam optimizer from bitsandbytes along with xformers while being 2 times faster.
Just found this one: https://github.com/andreae293/Dreambooth-Stable-Diffusion-cpu
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Stats
Basic Dreambooth-Stable-Diffusion-cpu repo stats
6
14
10.0
over 1 year ago
andreae293/Dreambooth-Stable-Diffusion-cpu is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of Dreambooth-Stable-Diffusion-cpu is Jupyter Notebook.
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