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:
- b3fc6addffa71a7a5a534f12c137a404d77ac3950a036f6afcbf97e89610bf53
- Size of remote file:
- 1.72 GB
- SHA256:
- 49d6ecb4d5a97d278a8b2ef5504790c0255a9b131da5be9afb4059a7f46966d2
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