Text-to-Image
Diffusers
Safetensors
English
stable-diffusion-diffusers
StableDiffusion
Stable-Diffusion
image-generation
SD1.5
SDv1.5
Instructions to use nDimensional/Lomostyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nDimensional/Lomostyle with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nDimensional/Lomostyle", 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
language:
- en
thumbnail: https://huggingface.co/Schisim/Lomostyle/blob/main/images/1.png
license: creativeml-openrail-m
tags:
- diffusers
- safetensors
- stable-diffusion-diffusers
- text-to-image
- StableDiffusion
- Stable-Diffusion
- image-generation
- SD1.5
- SDv1.5
- image-generation
inference: false
library_name: diffusers
Lomostyle
Trained on Analog/Lo-fi photographs, includes tags for various cameras, color negative/black and white/reverse color films.
This is a SD 1.5 fine-tune
Please use vae alongside this model - https://huggingface.co/stabilityai/sd-vae-ft-mse-original/tree/main