Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
Anime
Art
XpucT
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Reliberate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Reliberate 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/Reliberate", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2ea318ad0dbd404b3e13750840116247b71b4214c0f7006e3a0f4ccd47e6122d
- Size of remote file:
- 246 MB
- SHA256:
- 19e2e1602817ebeb0b6a326c786a369c8940c771b0e66f078d7a4b2e2cdd8499
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.