Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/anythingelsev4-v45 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/anythingelsev4-v45 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/anythingelsev4-v45", 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
- Xet hash:
- 9907bb34faa004a954c474b67fde06a4fc96e9fb9f7601369c80fcd32b89433b
- Size of remote file:
- 492 MB
- SHA256:
- 748755d186e27ecc4580ae725d24132d6ca4228426120861c9f3f7ab533af170
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.