Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Portraits
True Darkness
theally
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/theallysMixIIIRevolutions with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/theallysMixIIIRevolutions 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/theallysMixIIIRevolutions", 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:
- 54795af036edf83e739e1aa8231f21acdad2366d15f9e4c02e9f9e1e28c2ebdc
- Size of remote file:
- 492 MB
- SHA256:
- e273c6b730da2a7552c40a1d938055d84c555a2c99c3a1c6a72d79b5a0af9190
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.