coreml-ChilloutMix
Maintainer: coreml-community
93
⛏️
| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The coreml-ChilloutMix model is a Core ML-converted version of the Chilloutmix model, which was originally trained on a dataset of "wonderful realistic models" and merged with the Basilmix model. This model is designed for generating realistic images of Asian girls in NSFW poses. The maintainer, the coreml-community, has provided several versions of the model, including split_einsum and original versions, as well as custom resolution and VAE-embedded variants. The model was converted to Core ML for use on Apple Silicon devices, with instructions available for converting other Stable Diffusion models to the Core ML format.
Similar models include chilloutmix, chilloutmix-ni, and ambientmix from other creators.
Model inputs and outputs
Inputs
- Text prompts to describe the desired image
Outputs
- Realistic, high-quality images of Asian girls in NSFW poses
Capabilities
The coreml-ChilloutMix model is capable of generating detailed, realistic images of Asian girls in a variety of NSFW poses and scenarios. The model has been trained on a dataset of "wonderful realistic models" and can produce images with a high level of detail and naturalism.
What can I use it for?
The coreml-ChilloutMix model could be useful for NSFW content creators or artists looking to generate realistic images of Asian girls. The model's capabilities could be leveraged for a variety of projects, such as character design, illustrations, or adult-themed artwork. However, users should be aware of the model's NSFW nature and ensure that any use of the model aligns with relevant laws and ethical considerations.
Things to try
One interesting aspect of the coreml-ChilloutMix model is its ability to generate realistic Asian features and skin textures. Users could experiment with prompts that focus on these elements, such as "highly detailed skin texture" or "beautifully rendered Asian facial features." Additionally, the model's compatibility with various compute unit options, including the Neural Engine, could be explored to optimize performance on different hardware.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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