Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Items
Icons
Logos
Objects
Vectors
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Items with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Items 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/Items", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 8c654553bc0f30c9ac48280f94a52d510bec4c1e1ea623615a3980abd408d334
- Size of remote file:
- 335 MB
- SHA256:
- 2b44c7bdacf8a19b68076c43aeeba932ab2ccf3656c76634da074240f87d0961
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