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:
- 0dfee64b300eabd31809edf8f1705d39ca303acb1b7dbc59926f7e51fce1e164
- Size of remote file:
- 1.72 GB
- SHA256:
- bf4a0aaf0b4541fee89fa78ebc75bec0fed1b719667620e52ef542775a8c3521
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