Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Simple prompts
Things
Items
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Stuff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Stuff 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/Stuff", 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:
- ac07cbf61c0dd00843c86a82f956887efd1ff0457c8edd14c99d55ab42637b50
- Size of remote file:
- 246 MB
- SHA256:
- e27af46b098a320ce59bcdbbaa4329c6ca79da28453ad684e28ecbfcb5e871f0
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