Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
anime
general
andite
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AnythingV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AnythingV4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/AnythingV4", 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:
- 31cd59dc930c582b02e3d1fe3337014dff03f22d49dd63d07e28927b9c1b0f9d
- Size of remote file:
- 3.44 GB
- SHA256:
- 9270cc5274aa6ab3d4bd426fdec121bb49bd14e6d131aee00952a6247678a8e4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.