# Core ML Converted Model:

  - This model was converted to [Core ML for use on Apple Silicon devices](https://github.com/apple/ml-stable-diffusion). Conversion instructions can be found [here](https://github.com/godly-devotion/MochiDiffusion/wiki/How-to-convert-ckpt-or-safetensors-files-to-Core-ML).<br>
  - Provide the model to an app such as Mochi Diffusion [Github](https://github.com/godly-devotion/MochiDiffusion) - [Discord](https://discord.gg/x2kartzxGv) to generate images.<br>
  - `split_einsum` version is compatible with all compute unit options including Neural Engine.<br>
  - `original` version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - `vae` tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with `vae-encoder` for i2i.
  - Models that are 32 bit will have "fp32" in the filename.
  
# Note: Some models do not have the [unet split into chunks](https://github.com/apple/ml-stable-diffusion#-converting-models-to-core-ml).

# Project AIO:
Source(s): [CivitAI](https://civitai.com/models/18428/project-aio)

Project All In One (AIO)
Please Red Description
This model is a merge between all of my previously released models and, some unreleased models.

Going forward, all future models and updates to existing models will also be added/updated on this model.

Hands

Hands are the Achilles heel of latent diffusion models (LDMs). This model is no exception. Due to the unorthodox methods used in the creation of this model. It often fails at generating good hands. As of right now, I have no fix for this. Given the dynamic nature of this model (being updated alongside my other models), there's a chance the issue solves itself in a later update. That being said, I also plan on dedicating time into researching possible cost-effective solutions to "the hand issue" for all LDMs.

In the meantime, I encourage you to use the following two embeddings to help alleviate some of the deformed hand generations:

Bad_prompt_version2 - https://huggingface.co/datasets/Nerfgun3/bad_prompt/blob/main/bad_prompt_version2.pt

bad-hands-5 - https://huggingface.co/MortalSage/Strange_Dedication/blob/main/embeddings/bad-hands-5.pt

NOTE: If using bad-hands-5 bare in mind that your generations will not match the sample images for this model. This is because I didn't use the bad-hands embedding when creating the sample images.

How To Install Embeddings in Automatic1111 webui

Place bad_prompt_version2.pt and/or bad-hands-5.pt inside your embeddings folder for webui.

stable-diffusion-webui//embeddings//<place .pt embeddings here>

Launch webui, under "Generate" you will see a little red button. Click it, now under the "textual inversions" tab you will see the embeddings you added. Click on them, they will automatically be added to the end of your negative prompt.

To change the weight (strength) of the embedding; use attention/emphasis. For example, (bad_prompt_version2:0.8)

Recommended Settings

Clipskip: 1

ENSD: 31337

Sampler:

DPM++ SDE Karras, 18 - 30 steps

DPM++ 2M Karras, 30 - 60 steps

Heun, 20 steps, Sigma Churn = 1

Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Check out my other models (also the models used in the merge)

WonderMix - https://civitai.com/models/15666/wondermix

Refined - https://civitai.com/models/8392/refined

Experience - https://civitai.com/models/5952/experience

Elegance - https://civitai.com/models/5564/elegance

Clarity - https://civitai.com/models/5062/clarity

VisionGen - Realism Reborn -https://civitai.com/models/4834/visiongen-realism

LoRA

Pant Pull Down - https://civitai.com/models/11126/pant-pull-down-lora

Questions or Feedback?

Visit my thread on the Unstable Diffusion Discord Server

Special thanks to rocp for the witch and French maid prompt used in the sample pictures, @nutrition for copious research/testing of various sampling methods/parameters, and to everyone in the Unstable Diffusion Discord community that make doing this a more fun and enjoyable experience.

Hide
{"license": "creativeml-openrail-m", "tags": ["coreml", "stable-diffusion", "text-to-image", "not-for-all-eyes"]}
coreml stable-diffusion text-to-image not-for-all-eyes license:creativeml-openrail-m region:us
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #license-creativeml-openrail-m #region-us 

# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.
  - Models that are 32 bit will have "fp32" in the filename.
  
# Note: Some models do not have the unet split into chunks.

# Project AIO:
Source(s): CivitAI

Project All In One (AIO)
Please Red Description
This model is a merge between all of my previously released models and, some unreleased models.

Going forward, all future models and updates to existing models will also be added/updated on this model.

Hands

Hands are the Achilles heel of latent diffusion models (LDMs). This model is no exception. Due to the unorthodox methods used in the creation of this model. It often fails at generating good hands. As of right now, I have no fix for this. Given the dynamic nature of this model (being updated alongside my other models), there's a chance the issue solves itself in a later update. That being said, I also plan on dedicating time into researching possible cost-effective solutions to "the hand issue" for all LDMs.

In the meantime, I encourage you to use the following two embeddings to help alleviate some of the deformed hand generations:

Bad_prompt_version2 - URL

bad-hands-5 - URL

NOTE: If using bad-hands-5 bare in mind that your generations will not match the sample images for this model. This is because I didn't use the bad-hands embedding when creating the sample images.

How To Install Embeddings in Automatic1111 webui

Place bad_prompt_version2.pt and/or URL inside your embeddings folder for webui.

stable-diffusion-webui//embeddings//<place .pt embeddings here>

Launch webui, under "Generate" you will see a little red button. Click it, now under the "textual inversions" tab you will see the embeddings you added. Click on them, they will automatically be added to the end of your negative prompt.

To change the weight (strength) of the embedding; use attention/emphasis. For example, (bad_prompt_version2:0.8)

Recommended Settings

Clipskip: 1

ENSD: 31337

Sampler:

DPM++ SDE Karras, 18 - 30 steps

DPM++ 2M Karras, 30 - 60 steps

Heun, 20 steps, Sigma Churn = 1

Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Check out my other models (also the models used in the merge)

WonderMix - URL

Refined - URL

Experience - URL

Elegance - URL

Clarity - URL

VisionGen - Realism Reborn -URL

LoRA

Pant Pull Down - URL

Questions or Feedback?

Visit my thread on the Unstable Diffusion Discord Server

Special thanks to rocp for the witch and French maid prompt used in the sample pictures, @nutrition for copious research/testing of various sampling methods/parameters, and to everyone in the Unstable Diffusion Discord community that make doing this a more fun and enjoyable experience.

Hide
# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.
  - Models that are 32 bit will have "fp32" in the filename. # Note: Some models do not have the unet split into chunks. # Project AIO:
Source(s): CivitAI

Project All In One (AIO)
Please Red Description
This model is a merge between all of my previously released models and, some unreleased models.

Going forward, all future models and updates to existing models will also be added/updated on this model.

Hands

Hands are the Achilles heel of latent diffusion models (LDMs). This model is no exception. Due to the unorthodox methods used in the creation of this model. It often fails at generating good hands. As of right now, I have no fix for this. Given the dynamic nature of this model (being updated alongside my other models), there's a chance the issue solves itself in a later update. That being said, I also plan on dedicating time into researching possible cost-effective solutions to "the hand issue" for all LDMs.

In the meantime, I encourage you to use the following two embeddings to help alleviate some of the deformed hand generations:

Bad_prompt_version2 - URL

bad-hands-5 - URL

NOTE: If using bad-hands-5 bare in mind that your generations will not match the sample images for this model. This is because I didn't use the bad-hands embedding when creating the sample images.

How To Install Embeddings in Automatic1111 webui

Place bad_prompt_version2.pt and/or URL inside your embeddings folder for webui.

stable-diffusion-webui//embeddings//<place .pt embeddings here>

Launch webui, under "Generate" you will see a little red button. Click it, now under the "textual inversions" tab you will see the embeddings you added. Click on them, they will automatically be added to the end of your negative prompt.

To change the weight (strength) of the embedding; use attention/emphasis. For example, (bad_prompt_version2:0.8)

Recommended Settings

Clipskip: 1

ENSD: 31337

Sampler:

DPM++ SDE Karras, 18 - 30 steps

DPM++ 2M Karras, 30 - 60 steps

Heun, 20 steps, Sigma Churn = 1

Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Check out my other models (also the models used in the merge)

WonderMix - URL

Refined - URL

Experience - URL

Elegance - URL

Clarity - URL

VisionGen - Realism Reborn -URL

LoRA

Pant Pull Down - URL

Questions or Feedback?

Visit my thread on the Unstable Diffusion Discord Server

Special thanks to rocp for the witch and French maid prompt used in the sample pictures, @nutrition for copious research/testing of various sampling methods/parameters, and to everyone in the Unstable Diffusion Discord community that make doing this a more fun and enjoyable experience.

Hide
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #license-creativeml-openrail-m #region-us 
 # Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.
  - Models that are 32 bit will have "fp32" in the filename. # Note: Some models do not have the unet split into chunks. # Project AIO:
Source(s): CivitAI

Project All In One (AIO)
Please Red Description
This model is a merge between all of my previously released models and, some unreleased models.

Going forward, all future models and updates to existing models will also be added/updated on this model.

Hands

Hands are the Achilles heel of latent diffusion models (LDMs). This model is no exception. Due to the unorthodox methods used in the creation of this model. It often fails at generating good hands. As of right now, I have no fix for this. Given the dynamic nature of this model (being updated alongside my other models), there's a chance the issue solves itself in a later update. That being said, I also plan on dedicating time into researching possible cost-effective solutions to "the hand issue" for all LDMs.

In the meantime, I encourage you to use the following two embeddings to help alleviate some of the deformed hand generations:

Bad_prompt_version2 - URL

bad-hands-5 - URL

NOTE: If using bad-hands-5 bare in mind that your generations will not match the sample images for this model. This is because I didn't use the bad-hands embedding when creating the sample images.

How To Install Embeddings in Automatic1111 webui

Place bad_prompt_version2.pt and/or URL inside your embeddings folder for webui.

stable-diffusion-webui//embeddings//<place .pt embeddings here>

Launch webui, under "Generate" you will see a little red button. Click it, now under the "textual inversions" tab you will see the embeddings you added. Click on them, they will automatically be added to the end of your negative prompt.

To change the weight (strength) of the embedding; use attention/emphasis. For example, (bad_prompt_version2:0.8)

Recommended Settings

Clipskip: 1

ENSD: 31337

Sampler:

DPM++ SDE Karras, 18 - 30 steps

DPM++ 2M Karras, 30 - 60 steps

Heun, 20 steps, Sigma Churn = 1

Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Check out my other models (also the models used in the merge)

WonderMix - URL

Refined - URL

Experience - URL

Elegance - URL

Clarity - URL

VisionGen - Realism Reborn -URL

LoRA

Pant Pull Down - URL

Questions or Feedback?

Visit my thread on the Unstable Diffusion Discord Server

Special thanks to rocp for the witch and French maid prompt used in the sample pictures, @nutrition for copious research/testing of various sampling methods/parameters, and to everyone in the Unstable Diffusion Discord community that make doing this a more fun and enjoyable experience.

Hide
TAGS
#coreml #stable-diffusion #text-to-image #not-for-all-eyes #license-creativeml-openrail-m #region-us 
# Core ML Converted Model:

  - This model was converted to Core ML for use on Apple Silicon devices. Conversion instructions can be found here.<br>
  - Provide the model to an app such as Mochi Diffusion Github - Discord to generate images.<br>
  - 'split_einsum' version is compatible with all compute unit options including Neural Engine.<br>
  - 'original' version is only compatible with CPU & GPU option.<br>
  - Custom resolution versions are tagged accordingly.<br>
  - 'vae' tagged files have a vae embedded into the model.<br>
  - Descriptions are posted as-is from original model source. Not all features and/or results may be available in CoreML format.<br>
  - This model was converted with 'vae-encoder' for i2i.
  - Models that are 32 bit will have "fp32" in the filename.# Note: Some models do not have the unet split into chunks.# Project AIO:
Source(s): CivitAI

Project All In One (AIO)
Please Red Description
This model is a merge between all of my previously released models and, some unreleased models.

Going forward, all future models and updates to existing models will also be added/updated on this model.

Hands

Hands are the Achilles heel of latent diffusion models (LDMs). This model is no exception. Due to the unorthodox methods used in the creation of this model. It often fails at generating good hands. As of right now, I have no fix for this. Given the dynamic nature of this model (being updated alongside my other models), there's a chance the issue solves itself in a later update. That being said, I also plan on dedicating time into researching possible cost-effective solutions to "the hand issue" for all LDMs.

In the meantime, I encourage you to use the following two embeddings to help alleviate some of the deformed hand generations:

Bad_prompt_version2 - URL

bad-hands-5 - URL

NOTE: If using bad-hands-5 bare in mind that your generations will not match the sample images for this model. This is because I didn't use the bad-hands embedding when creating the sample images.

How To Install Embeddings in Automatic1111 webui

Place bad_prompt_version2.pt and/or URL inside your embeddings folder for webui.

stable-diffusion-webui//embeddings//<place .pt embeddings here>

Launch webui, under "Generate" you will see a little red button. Click it, now under the "textual inversions" tab you will see the embeddings you added. Click on them, they will automatically be added to the end of your negative prompt.

To change the weight (strength) of the embedding; use attention/emphasis. For example, (bad_prompt_version2:0.8)

Recommended Settings

Clipskip: 1

ENSD: 31337

Sampler:

DPM++ SDE Karras, 18 - 30 steps

DPM++ 2M Karras, 30 - 60 steps

Heun, 20 steps, Sigma Churn = 1

Euler, 20 - 70 steps, Sigma Churn = 1

These parameters are not strictly required, experiment around with other samplers and parameter values. You might find something that works better for you.

Check out my other models (also the models used in the merge)

WonderMix - URL

Refined - URL

Experience - URL

Elegance - URL

Clarity - URL

VisionGen - Realism Reborn -URL

LoRA

Pant Pull Down - URL

Questions or Feedback?

Visit my thread on the Unstable Diffusion Discord Server

Special thanks to rocp for the witch and French maid prompt used in the sample pictures, @nutrition for copious research/testing of various sampling methods/parameters, and to everyone in the Unstable Diffusion Discord community that make doing this a more fun and enjoyable experience.

Hide