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
Items
Vector merged with Veritas optimizing the creation of items. Samples and prompts (all use seed 9119):
a treasure chest full of magic items, dramatic lighting, magical lighting, surreal, dust motes, glittering jewels, blues and purples, 8k
A cute candle with small, rounded shape and pastel-colored wax, showcasing its charming design and warm glow, in a stunning cozy style, with a pastel color background.
A cute backpack with small, rounded pockets and pastel-colored fabric, showcasing its charming design and details, in a stunning modern style, with a pastel color background
A cute cupcake with colorful frosting and sprinkles, showcasing its adorable design and details, in a stunning realistic style, with a pastel color background.
Original pages:
https://huggingface.co/Yntec/Veritas
https://huggingface.co/Yntec/Vector
Recipe:
- SuperMerger Weight Sum Use MBW 1,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1
Model A:
Veritas
Model B:
Vector
Output:
Items
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