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
Commit History
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Rename text_encoder.config.json to text_encoder/config.json
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Delete text_encoder/config.json
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Adding `diffusers` weights of this model (#1)
Verified signature- Adding `diffusers` weights of this model (f25819d17113fa9bdc9df496fd5d41870fb00f02)09e087e