paragon — modelo de IA STABLE DIFFUSION 1.5

V1.0 by SG_16122. A full base model that works well with many LoRAs. It's balanced between realism and fantasy with a vibe of old-school anime. It is by the creator who brought us

Notas do criador

Check my exclusive models on Mage: / / / / / / / This model (V1.0) is also on . All my models are on . A demo generation on is available (free, but it uses a CPU, so the generation speed is slow). You can support me directly on . For this model I suggest you use: and Recommended negative prompt: (deformed iris, deformed pupils, semi-realistic, cgi, 3d, render, sketch, cartoon, drawing, anime, mutated hands and fingers:1.4), (deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, disconnected limbs, mutation, mutated, ugly, disgusting, amputation, easynegative, bad-hands-5 Parameters for the generation I recommend: Euler A or DPM++ SDE Karras with 25+ steps CFG Scale 5-12 Hires. fix with Latent or UltrasharpX4 upscaler 0 Hires steps and Denoising strength 0.35-0.7 Upscale by 1.1-2.0 ENSD 31337 Clip Skip 2 Thanks to the creators of these models for their work. Without them it would not have been possible to create this model. - by - by - by - by

1,454 downloads · 1,226 curtidas no Civitai

SHA256

D916560FFD516EB2260123ADCD593AE4936E8C5FE7B87388A5FC6CDA01A4CF1A

ID de modelo ModelTrends.ai

#6008

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Renders de exemplo

Prompts e configurações compartilhados por quem fez estes renders no Civitai. Escolha um render para ver como foi feito.

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Render de mijoxoc459231 no Civitai

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Configurações

Sampler

DPM++ 2M Karras

Passos

Guidance

Seed

2710516974

Tamanho

768x768

Prompt

inside of a library, a wall full of books with a fireplace in the middle

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paragon é um modelo base para a família Stable Diffusion 1.5 listado no ModelTrends.ai, um catálogo somente leitura de modelos de IA de código aberto para imagem, vídeo e texto. Compare-o com outros modelos Stable Diffusion 1.5, veja a pontuação de calor para acompanhar a tendência e abra-o no PirateDiffusion ou BitVector para experimentar.

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