Negative Embeds for Pony XL – N0R3AL_PDXL

Textual Inversions / Embeddings for Stable Diffusion Pony XL

N0R3AL_PDXL – This embedding is an enhanced version of PnyXLno3dRLNeg, incorporating additional elements like “Bad anatomy.” Unlike other embeddings, it is provided as two separate files due to the use of SDXL’s dual text encoders (OpenCLIP-ViT/G and CLIP-ViT/L), resulting in both G and L layer textual inversions. The training data section has a file for both layers is included in a zip file. I am not sure how this works, but i’m still learning. This is already in safetensors, no need to panic.

VDiffPDXL_Neg – Created for realistic checkpoints, this embedding introduces constraints like no anime, no pony, bad anatomy, and extra fingers to your negative prompts, ensuring a more refined output. It utilizes the embedding merge function to achieve this. This is already in safetensors, no need to panic.

SFWPnyNegXL – Tailored to exclude explicit content, this embedding removes “RATING_EXPLICIT” and source_pony tags, ensuring safe-for-work results through the embedding merge process. Now includes a SAFETENSORS edition of this.

PnyXLno3dRLNeg – Focuses on eliminating 3D and realistic elements, as well as source_pony references, to maintain a consistent visual style. This embedding was also created using the embedding merge technique. Now includes a SAFETENSORS edition of this.

PDXLneg-NoAniPny – This embedding removes anime and cartoon influences, favoring a more illustrative aesthetic. It achieves this through the embedding merge function. Now includes a SAFETENSORS edition of this.

PonyXL_NegScore – A unique negative embedding based on scores suggested by PurpleSmartAI, aimed at refining the negative aspects of your prompts for better results. This embedding was created using the embedding merge method. Now includes a SAFETENSORS edition of this.

How Textual Inversions without Training are Made:

https://github.com/klimaleksus/stable-diffusion-webui-embedding-merge

Did you know that StableDiffusion reads your prompt through tokens? These tokens are multidimensional numerical vectors that together form words and phrases. It’s possible to create new words by merging (adding) different vectors, resulting in a combined meaning.

While this technique doesn’t always produce the expected results, it offers exciting possibilities for experimentation. This extension creates Textual Inversion embeddings by merging tokens without any training on actual images. This can be done automatically during generation or manually via the dedicated tab.

SDXL uses two text encoders (OpenCLIP-ViT/G and CLIP-ViT/L) for their base model. This dual encoding results in both G and L layer textual inversions, as seen in the N0R3AL_PDXL embedding.

For more detailed instructions, please refer to the linked documentation in the model card.

Warning:

There is a CHANCE that the DUAL end of this new things means the same thing I always argue: SD 1.5 embeddings DON’T WORK on SDXL. I’ve noticed that the L conversion means that it’s an SD 1/1.5 model – and I don’t want to explode back into forcing and gaslighting users.

Research on why Dual prompt boxes apart from what we have already isn’t a big deal:
https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues/12141

Let’s be understanding here: I’m by nature an Automatic1111 user, if you’re using ComfyUI this is sort of argumentatively much different.

This is seen here: https://mybyways.com/blog/two-text-prompts-text-encoders-in-sdxl-1-0

If you’re still interested in the tech nerdy’s of SDXL: https://huggingface.co/docs/diffusers/main/en/using-diffusers/sdxl

And also, nobody uses the refiners, we ditched that back in 2023.

Extensions:

• ADetailer:

  • Link: ADetailer GitHub

  • Usage: This extension assists with detailing and refining images. It’s a powerful tool for enhancing the precision of your artwork, though used sparingly with SDXL to avoid over-processing.

• Batchlinks:

  • Link: Batchlinks for A1111

  • Description: Useful for managing multiple links when running A1111 locally or on a server.

  • Addon: @nocrypt Addon

VAE & Upscaler Preferences:

• VAE:

  • Recommendation: Select an SDXL VAE that fits your project’s requirements.

• Upscalers:

  • Instructions: These upscalers can be downloaded and installed using the Batchlinks extension or directly to your drive. They significantly enhance image resolution and quality.

  • Links:

    • 8x_NMKD-Superscale_150000_G.pth

    • 4x_NMKD-Superscale-SP_178000_G.pth

    • 4x_fatal_Anime_500000_G.pth

    • 4x_foolhardy_Remacri.pth

    • lollypop.pth

    • 4x_Fatality_Comix_260000_G.pth

    • 4x-UltraSharp.pth

    • 4x_NMKDSuperscale_Artisoft_120000_G.pth

    • 4x_NMKD-YandereNeoXL_200k.pth

    • 4x_NMKD-UltraYandere_300k.pth

Ethical Use and Licensing:

License Information: The embedding is literally just trained on words.. Users must ensure their use complies with relevant copyright laws and licensing agreements. See Pony XL guidelines for finetunes and LoRA licensing.

Responsible Use: This model is intended for positive and respectful applications that celebrate the beauty and power of Artificial intelligence based Generative Art.. Users should adhere to ethical guidelines in their creations, promoting inclusivity and respect in all their artistic endeavors.

About Me: We are a system of over 300 alters, proudly navigating life with Dissociative Identity Disorder, ADHD, Autism, and CPTSD. We believe in the potential of AI to break down barriers and enhance aspects of mental health, even as it presents challenges. Our creative journey is an ongoing exploration of identity and expression, and we invite you to join us in this adventure.