![]() Pocket Waifu v1.69.Warning! This game contains erotic scenes. Waifu's Mission is a visual novel where you will be trapped in an isekai world and you will find the waifus of your favorite anime, having the opportunity to interact and to fuck them, to be able to survive or simply to enjoy and depending on the decisions you make this will affect your interaction with certain characters, all this around 4 goddesses who will help or torment you on your great journey. For these, use_ema=False will load and use the non-EMA weights.The opportunity to fuck with two of the three characters that appear in the story.A little look of a story that is just the beginning.We have a wonderful visually attractive character design in our video game. If you want to examine the effect of EMA vs no EMA, we provide "full" checkpoints Note: The inference config for all v1 versions is designed to be used with EMA-only checkpoints.įor this reason use_ema=False is set in the configuration, otherwise the code will try to switch from seed SEED the seed (for reproducible sampling) config CONFIG path to config which constructs model If specified, load prompts from this file scale SCALE unconditional guidance scale: eps = eps(x, empty) + scale * (eps(x, cond) - eps(x, empty)) n_rows N_ROWS rows in the grid (default: n_samples) How many samples to produce for each given prompt. ddim_eta DDIM_ETA ddim eta (eta=0.0 corresponds to deterministic sampling fixed_code if enabled, uses the same starting code across samples skip_save do not save individual samples. skip_grid do not save a grid, only individual samples. h, -help show this help message and exit Steps show the relative improvements of the checkpoints: 195k steps at resolution 512x512 on "laion-improved-aesthetics" and 10% dropping of the text-conditioning to improve classifier-free guidance sampling.Įvaluations with different classifier-free guidance scales (1.5, 2.0, 3.0, 4.0, sd-v1-3.ckpt: Resumed from sd-v1-2.ckpt.The watermark estimate is from the LAION-5B metadata, the aesthetics score is estimated using an improved aesthetics estimator). sd-v1-2.ckpt: Resumed from sd-v1-1.ckpt.ĥ15k steps at resolution 512x512 on "laion-improved-aesthetics" (a subset of laion2B-en,įiltered to images with an original size >= 512x512, estimated aesthetics score > 5.0, and an estimated watermark probability sd-v1-1.ckpt: 237k steps at resolution 256x256 on laion2B-en.ġ94k steps at resolution 512x512 on laion-high-resolution (170M examples from LAION-5B with resolution >= 1024x1024).We currently provide three checkpoints, sd-v1-1.ckpt, sd-v1-2.ckpt and sd-v1-3.ckpt, Request access to Stable Diffusion v1 checkpoints for academic research We are working on a public release with a more permissive license that also incorporates ethical considerations. This is an experiment in safe and community-driven publication of a capable and general text-to-image model. To prevent misuse and harm, we currently provide access to the checkpoints only for academic research purposes upon request. Research into the safe deployment of general text-to-image models is an ongoing effort. Note: Stable Diffusion v1 is a general text-to-image diffusion model and therefore mirrors biases and (mis-)conceptions that are presentĭetails on the training procedure and data, as well as the intended use of the model can be found in the corresponding model card. The model was pretrained on 256x256 images and ![]() Stable Diffusion v1 refers to a specific configuration of the modelĪrchitecture that uses a downsampling-factor 8 autoencoder with an 860M UNetĪnd CLIP ViT-L/14 text encoder for the diffusion model.
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