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mistVAE
Ai-tensa/mistVAE
mistVAE is a machine learning model from Ai-tensa. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This VAE is trained by adding only one step of noise to the latent and denoising the latent with U-net, to avoid oversensitivity to latent. This process reduces the possibility to describe too much detail in some obje…
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Updated Oct 15, 2023
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340 MB
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.safetensors335 MB · 98%
At a glance
- License
- mit
- Access
- Public
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023
- SHA
- 729e69d9
Model card
From the Hugging Face model README
VAE for high-resolution image generation with stable diffusion
This VAE is trained by adding only one step of noise to the latent and denoising the latent with U-net, to avoid oversensitivity to latent. This process reduces the possibility to describe too much detail in some objects, such as plants and eyes, etc., than in the surroundings when generated at high resolution. The dataset consists of 19k images tagged nijijourneyv5 and published on the web, and was denoised using the same dataset trained models.
sample
training details
- base model: VAE developed by CompVis
- 19k 1images
- 2 epochs
- Aspect Ratio Bucketing based on 768p resolution
- multires noise
- lr: 1e-5
- precision: fp32
- License
- mit
- Created
- Oct 15, 2023
- Updated
- Oct 15, 2023