pathfinder_v1_95367.safetensors

1.99 GB · SafeTensor · fp16 · pruned

pathfinder_v1_90514.safetensors

5.80 GB · SafeTensor · fp32 · full

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

319 MB · SafeTensor

<pathfinder>

💚 for Updates - I would love to see your reviews and images of this model, feel free to post them below! Pathfinder branches from flexibility fusing in and other resources to further expand on expressive fantasy elements along with a stronger cartoon/animation styling. This model offers a wide range of creativity from flat 2D styles, anime/illustration, cartoon/animation, semi-realistic styles + more. I would love to see the styles you come up with! 💡 This model is currently somewhat of an experimental project. Recommended Use There is a lot of variation in parameters for what works. Be aware on the styling you're choosing and use what you find best. The example images, gallery sections, and the quick start below are good starting points. ~20 steps, 7 scale, ~0.3-0.5 denoising, clip skip 1 or 2 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 - 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 - and negative embeddings were also used *Negative embeddings are optional Resources This model merge (v1) used the following resources - all of these are great stand-alone, props to each creator. - - - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) - (via ) 📝 These should be the correct resources used. A detailed recipe may go up on a Hugging Face page in the future. License & Use This model is open access and available to all, with a 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) and . Note: this model should be able to be updated to not include the Dreamlike Diffusion licensing fairly simply. I may do so in the future. 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.

SHA256

C360FE823F086F12860A1F0BEE8B0ED638016F852FE4180C49546979F2ECD2E3

ID modelu ModelTrends.ai

#7547

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DPM++ 2M SDE Karras

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30

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Měřítko jde od 0° do 9 999°. Vše pod 7,000° je vyhrazeno pro modely, o kterých zatím žádný zdroj nehlásí, a mají tam náhradní číslo, aby seznamy byly kompletní. 7,000° je místo, kde začínají naměřená data: model s reálnými daty, ale téměř žádnými staženími, sedí na základu, a měření přidávají stupně nad něj. Základ nic neříká o modelu; o rozdílu mezi modely rozhodují právě stupně nad ním.

4,398 stažení této přesné verze na Civitai. Stažení jsou nejdůležitější složkou a počítají se na logaritmické škále: desetkrát víc stažení přidá stejných 300°, takže model s milionem stažení není tisíckrát populárnější než ten s tisícem. Pět zdrojů stahování sdílí tento jeden termín, rozdělený mezi ně podle počtu.

789 lajků a palců nahoru napříč zdroji. Lajk váží polovinu stažení, na stejné logaritmické škále.

+150° protože je to plný model: checkpoint, samotné váhy. LoRA nebo embedding jsou doplňky k cizím vahám a nepřevyšují checkpoint se stejnou popularitou.

−604° protože váhy SD15 vyšly v 2022. Každý model zdědí stáří vah, na kterých je postavený: 150° za rok, až do 750°, a tento odečet roste až do té doby. Bez toho by byly na vrcholu seznamu checkpointy z let 2022 a 2023 díky stažením, která měla čas se nahromadit.