SuperMix-Pre - lineart style版本v1 (ID: 115938)

SuperMix-Pre  - lineart style版本v1 (ID: 115938)

Feel free to post your reviews and images of this model

The pre-start, or first part, of the SuperMix1 mix.

This model wasn't intended to be a stand alone mix - however can currently produce some unique 2d illustration/flatter color lineart styles merged with a paint-like photographic scenery feel. Simple, a bit messy, and a bit aesthetic! Feel free to share your results, I would love to see!

? More information can be found on the Hugging Face page.


General Use

Use the parameters that you find work best - some of the general use suggestions from SuperMix may apply to this model as well.

~20 steps, 7 scale, ~0.4 denoising, clip skip 1 or 2, is a good starting point

This model has some issues with detail accuracy, however just like SuperMix1 is primarily geared toward portrait styles. Keep in mind hands/anatomy may be a bit wild at times depending on your prompt and other parameter factors.

Disclaimer

This model(s) may output NSFW content unintentionally depending on parameters used. Make sure you tailor your prompts accordingly. For example "nsfw" in the negative prompt.

The purpose of sharing this model is not to showcase obscene material in a public forum. The use of this learning model is entirely at the discretion of the user, and they have the freedom to choose whether or not to create SFW or NSFW content. The decision of whether to engage with SFW or NSFW content lies with the user and their own personal preferences. The AI model(s) do not contain explicit visual content that can be accessed easily.


Example Images used

  • vae-ft-ema-560000-ema vae

  • 4x-UltraSharp or R-ESRGAN 4x+ Anime6B upscalers

  • hires fix w/some upscaled again using SD upscale

  • the use old karras scheduler signmas (0.1 to 10) compatibility setting

  • any LoRa use should be listed in the image metadata

  • Bad_v2 negative embedding renamed should be the same as bad_prompt_version2

  • EasyNegative and badhandv4 negative embeddings were also used

*Negative embeddings are optional


License & Use

This model is open access and available to all, with a modified CreativeML OpenRAIL-M license further specifying rights and usage.

1. You can't use the model to deliberately produce nor share illegal or harmful outputs or content.

2. The authors claims no rights on the outputs you generate, you are free to use them and are accountable for their use which must not go against the provisions set in the license.

3. You may re-distribute the weights. If you do, please be aware you have to include the same use restrictions as the ones in the license and share a copy of the modified CreativeML OpenRAIL-M to all your users (please read the license entirely and carefully).

Please read the full license(s) Stable Diffusion and Dreamlike Diffusion 1.0.

Use Restrictions

You agree not to use the Model or Derivatives of the Model:
- In any way that violates any applicable national, federal, state, local or international law or regulation
- For the purpose of exploiting, harming or attempting to exploit or harm minors in any way
- To generate or disseminate verifiably false information and/or content with the purpose of harming others
- To generate or disseminate personal identifiable information that can be used to harm an individual
- To defame, disparage or otherwise harass others
- For fully automated decision making that adversely impacts an individual’s legal rights or otherwise creates or modifies a binding, enforceable obligation
- For any use intended to or which has the effect of discriminating against or harming individuals or groups based on online or offline social behavior or known or predicted personal or personality characteristics
- To exploit any of the vulnerabilities of a specific group of persons based on their age, social, physical or mental characteristics, in order to materially distort the behavior of a person pertaining to that group in a manner that causes or is likely to cause that person or another person physical or psychological harm
- For any use intended to or which has the effect of discriminating against individuals or groups based on legally protected characteristics or categories
- To provide medical advice and medical results interpretation
- To generate or disseminate information for the purpose to be used for administration of justice, law enforcement, immigration or asylum processes, such as predicting an individual will commit fraud/crime commitment (e.g. by text profiling, drawing causal relationships between assertions made in documents, indiscriminate and arbitrarily-targeted use).
- To generate NFTs

Terms of use

- You are solely responsible for any legal liability resulting from unethical use of this model(s)
- If you use any of these models for merging, please state what steps you took to do so and clearly indicate where modifications have been made.

Note

If you see any conflicts or corrections to be made, please let me know.

描述:

Release - v1.0

The pre-start, or first part, of the SuperMix1 mix.

This Model wasn't intended to be a stand alone mix, however acted as a breakpoint while testing further iterations. This model can still produce some unique 2d illustration/flatter color lineart style results, so I thought to post this one as well.

? More information can be found on the Hugging Face page.

Note: this version is not finetuned to maximum detail accuracy.

训练词语:

名称: supermixPreLineart_v1.safetensors

大小 (KB): 2082643

类型: Model

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

名称: vae-ft-ema-560000-ema-pruned.safetensors

大小 (KB): 326798

类型: VAE

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

名称: vae-ft-ema-560000-ema.vae.pt

大小 (KB): 326851

类型: VAE

Pickle 扫描结果: Success

Pickle 扫描信息: No Pickle imports

病毒扫描结果: Success

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

SuperMix-Pre  - lineart style

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