Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Art
Realism
Photo
Base model
Abstract
Fusch
wildzzz
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/IncredibleLife with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/IncredibleLife 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/IncredibleLife", 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:
- 3caf64710ef522f32c419b6c19b18dd2b55578496031d078ce06d37df07d52fc
- Size of remote file:
- 3.44 GB
- SHA256:
- d39c032dd9d9a03cc0c63465d7bb548940f7d837352ed806e80375a839b9c72d
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