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Lina Inverse (DORA version) - Slayers

Edit: Do note I fucked up in the sample images and typed blackhairband instead of blackheadband, it is correct in the model.

SCG-Anatomy-Flux1.d - NSFW LoRA for Flux!

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Fire Emblem Awakening Style | MoosieModel

BanG Dream! | Ave Mujica Style

Trained on NoobAI-XL time take: 33h+

Chroma1-Flash-DF11.safetensors

LTX 2.3 22b IC LoRA Union Control

ltx-2-community-license

Sapphire (Princess Knight) / サファイア(リボンの騎士) (prince-form-il-v1.0)

LTX-2.5 text to video with audio

Create one video with generated audio from a text prompt using the fixed LTX-2.5 distilled model. Describe subjects, action, camera movement, lighting and desired sounds in Positive prompt. No image or audio upload is required. For a first run, replace the example prompt or try it as supplied, then keep 5 seconds, 24 FPS, widescreen aspect ratio and the 0.9-megapixel resolution target. Leave output file type and codec on auto. Prompt enhancement is enabled: it expands your text before video conditioning. Disable Enhance prompt to encode your original wording directly. Expansion tuning affects the output only when enhancement is enabled; sampling seed, temperature and token filters apply when Prompt sampling is on. The pipeline jointly generates audio and video at half the selected spatial dimensions, upscales the video latent with the fixed 2× spatial upscaler, then refines audio and video together. Both streams are decoded and assembled into the returned video. Upscaling and refinement are integrated stages, with no bypass controls. Aspect ratio and megapixels jointly determine approximate final dimensions through the resolution selector. They are shape and pixel-budget choices, not separate width and height overrides. Duration is in positive whole seconds. Use a whole-number frame rate from 1 to 120 FPS. The graph requests duration × FPS + 1 frames: keep duration × FPS divisible by eight and no greater than 999, respecting the audio latent stage's 1,000-frame maximum. At 24 FPS, whole-second durations from 1 to 41 meet these frame-count requirements. Playback includes the extra frame. Larger dimensions and more frames increase processing and memory requirements. Advanced controls separate initial generation from refinement. Each stage has its own seed, video guidance, audio guidance, sampler and comma-separated noise schedule. Keep the supplied guidance value of 1, samplers and distilled-model schedules for the first run. Negative prompt supplies unwanted-content conditioning to both stages; its influence depends on their guidance settings. A seed of -1 randomizes each run. To hold the exposed random inputs constant, fix both stage seeds and, when sampled prompt enhancement is enabled, its separate seed. Fixing only Generation seed leaves other random inputs variable. Video decode tiling controls spatial tile sizes and overlap in pixels, plus temporal chunk sizes and overlap in frames. It does not set output resolution or duration. Video output encoding offers automatic settings or explicit container, codec and CRF choices; use compatible container and codec selections and keep CRF at -1 for the transport default. The runtime needs the fixed transformer, generation text encoder, enhancement text model, audio and video VAEs, and latent upscaler named in the workflow. This tool returns video with generated audio and does not offer uploaded audio, a silent-output switch, independent audio export or automatic duration prediction. Audio and video batch fields remain at one for this single-video interface.

Au Ra (Xaela) Final Fantasy XIV

Textual inversion for Au Ra from FF14. Trained on 90 images for 5000 steps. Probably could be improved by a more specific horn style but will eventually give you the horn style you want with enough generations....

GTA768 Art Style Embedding for version 2.X

This is another high quality textual inversion embedding that I am excited to release to the stable diffusion community! I have been really underwhelmed by the output of the existing GTA embeddings and checkpoints...

Sweetheart Drive-Thru Puffy Red Dress

Hey guys! Hope you love using this new LoRA as much as I loved making it. Just a quick word of advice: try not to go overboard stacking a ton of LoRAs together, or they will just fight each other and ruin the whole...

beholder

Originally posted to HuggingFace by sd-concepts-library Beholder on Stable Diffusion This is the concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the Stable Conceptualizer...

PlasticModel

Yo dawg I heard you like models, so I trained a model to make models so now you can model while you model.

80s-anime-ai

Originally posted to HuggingFace by sd-concepts-library 80s Anime AI on Stable Diffusion This is the concept taught to Stable Diffusion via Textual Inversion. You can load this concept into the Stable Conceptualizer...

Bikupan style

Hypernetwork trained on 600 unique images (1 200 after mirror) with a focus on faces (portraits). Low res images were upscaled, all images were stretched to 512x512, tagging done by "WD1.4 tagger" automatic1111...

Desiree - Danny Phantom 🤷‍♂️

In my journey to improve my character embedding skills, I sort of made Desiree. I cherrypicked the good results.

djz Monochrome V8

Curated Collection of Line Art : Every page from "Robot Heads" and "Future Cities" (published books I created as colouring-in books)

Kylie Griffin from Extreme Ghostbusters

Use strength 0.7-1.0 , I think ~0.9 is a good start; some details like the glove should be "baked" into the character. The ghost trap and proton pistol don't work well. I kept the "nurse" picture as an example of...

Paimon TI

This TI is from the Waifu diffusion server: It is not my model, to see and support the original creator go to the server.

Surrenade 2 (pearl) by AK

A continuation of the surreal theme ( Surrenade (space) by AK - Illustrious v1 | Illustrious LoRA | Civitai ), but this time Surrenade is flavored with pearls, mother-of-pearl and pseudo-realism.