Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Vectors
Art
Style
Game assets
Icons
Logos
coder119
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Vector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Vector 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/Vector", 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
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# Vector
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A finetune of coder119's VectorArtz to produce a model that performs well without requiring "
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# Vector
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A finetune of coder119's VectorArtz to produce a model that performs well without requiring "vectorartz" in the prompt, optimized to not require negatives. Samples and prompts (all use seed 9119):
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