Instructions to use segmind/tiny-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/tiny-sd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/tiny-sd", 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
Any implementations using stable_diffusion.cpp
1
#7 opened about 1 year ago
by
Rehman2121
Adding `safetensors` variant of this model
#6 opened over 1 year ago
by
pane2k
Unable to save the unet weights after finetuning the model using text_to_image.py (ValueError: You are trying to save a non contiguous tensor: `conv_in.weight` which is not allowed))
4
#4 opened over 2 years ago
by
Palawat
Adding `safetensors` variant of this model
#3 opened almost 3 years ago
by
edtjulien
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
mixy89