Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Instructions to use CompVis/stable-diffusion-v1-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CompVis/stable-diffusion-v1-4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") prompt = "A high tech solarpunk utopia in the Amazon rainforest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Create images with transparency
#49
by xalex - opened
It would be really cool if the network could create images with transparent background.
Cool idea! Currently don't know if this is possible from a technical point of view
I guess it's something for training the next model or maybe finetuning, at least when one wants an alpha channel. But maybe one could try a chroma-key implementation? Currently it seems hard to generate backgrounds that work for chroma-key, but this could definitely be improved with the right (3-channel) training data.
A clipart dataset with alpha transparency would be really cool.