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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 841bdd98de4070a58b193cde410bff36e8dee7e3cb5295e60d38e39c50ad7aad
- Size of remote file:
- 246 MB
- SHA256:
- 3d029bc07c019176b2ab38546ceee040a5466c1f947d5980f3b8b3a685c77dbf
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