Text-to-Image
Diffusers
GGUF
English
vedika-ai
flux
image-generation
quantization
photorealistic
lightweight
aura-gen
Instructions to use Vedika-advanced-AI/Vedika-image-edit_gguf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Vedika-advanced-AI/Vedika-image-edit_gguf with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Vedika-advanced-AI/Vedika-image-edit_gguf", dtype=torch.bfloat16, device_map="cuda") prompt = "A futuristic cyberpunk city, photorealistic, 8k, detailed texture" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!