Text-to-Image
Diffusers
PyTorch
Safetensors
English
stable-diffusion
optimized
sd-v1.5-base
sd-v1.5-inpainting
Instructions to use ehristoforu/stable-diffusion-v1-5-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ehristoforu/stable-diffusion-v1-5-tiny with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ehristoforu/stable-diffusion-v1-5-tiny", torch_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
language:
- en
library_name: diffusers
pipeline_tag: text-to-image
tags:
- pytorch
- safetensors
- stable-diffusion
- optimized
- sd-v1.5-base
- sd-v1.5-inpainting
base_model: runwayml/stable-diffusion-v1-5
inference: false
Optimized tiny Stable Diffusion v1.5
This is the official model from RunwayML, only excess weights have been removed from it, the removal of which did not affect the generation results in any way.