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
Batch parameter
#70
by 2pho3nix - opened
Hello, I was wondering if there is a batch parameter or need to write it manually in Python, maybe a loop with different names of files?
Hello, I was wondering if there is a batch parameter or need to write it manually in Python, maybe a loop with different names of files?
I understand that I can use github repo and its built in there, but I am using the GPU on Colab because its fast and installing git hub repo is a bit difficult on Colab.