Instructions to use SenecaCicero/LCM_RealisticVision_V5.0_noVAE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SenecaCicero/LCM_RealisticVision_V5.0_noVAE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SenecaCicero/LCM_RealisticVision_V5.0_noVAE", 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
- Draw Things
- DiffusionBee
LCM_Realistic Vision_V5.0_noVAE
A Stable Diffusion 1.5 realism model, converted to LCM, that can generate images in as little as 6 steps.
Very useful for quickly generating images for concept/sketch design purposes - or anything else that takes your fancy.
More details on LCM: https://latent-consistency-models.github.io/
Original Realistic Vision V5.0 is available here: https://huggingface.co/SG161222/Realistic_Vision_V5.1_noVAE
Coverted to LCM with this script: https://github.com/vladmandic/automatic/blob/master/cli/lcm-convert.py
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