Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General Purpose
Digital Art
Photorealistic
Zovya
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/a-ZovyaRPGV4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/a-ZovyaRPGV4 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/a-ZovyaRPGV4", 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:
- b1432e4205fcd73daa570f4a8c4f795515d225ebd6bacaa49adaf90d55f4f3b7
- Size of remote file:
- 5.67 GB
- SHA256:
- b82a91df9cfd8a5e45dfb54236afd8f7e5162ee5181238bc1f6caa8a040d4e8b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.