Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Base Model
Photorealistic
Anime
Art
diffusionfanatic1173
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ZootVisionEpsilon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ZootVisionEpsilon 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/ZootVisionEpsilon", 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:
- ab40fe5ffcc96ed1c5ed0cd5a57fbb6af9d3239dde8e57b5c205bd89e2ec8a82
- Size of remote file:
- 492 MB
- SHA256:
- 52ff960363b86d3177055c5f25583634a28e9b312ecbb4b340179694753a7370
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