Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Base model
Abstract
Fusch
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/RealLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealLife 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/RealLife", 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:
- 42b779ec4f04bb8c72446324f273ec2d24a31331fd0a0dd80fbc4c4c7ae2523c
- Size of remote file:
- 167 MB
- SHA256:
- bbd36aff5b5beabb0a62e32a08786cd319ce7fa281bd85d0ec97e35c422d3cea
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