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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 89113d2a8a3237021b1af3cf41cd5bd3e32e68645052c080f73ddf1adfcfe975
- Size of remote file:
- 4.27 GB
- SHA256:
- fed0b0d55ea4c133ad5383c3371fede50271f20d23679d248503e6856ecd5cdb
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