Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Photorealistic
Sexy
stable-diffusion
stable-diffusion-diffusers
kazzear
Instructions to use Yntec/vividicAnime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/vividicAnime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/vividicAnime", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- Anime
- Photorealistic
- Sexy
- stable-diffusion
- stable-diffusion-diffusers
- diffusers
- text-to-image
- kazzear
Vividic Anime
This model with the MoistMixV2 VAE baked in.
Sample and prompt:
A very beautiful anime tennis girl, short wavy black hair, detailed chibi eyes, ( ( ( full round face ) ) ), short smile, short skirt, fashion CUTE and SHOES, BEAUTIFUL DETAILED LEGS, highly detailed, interior view ROSSDRAWS and KlaysMoji and Dave Rapoza and artgerm and leyendecker and Clay Mann
Original page:
