Instructions to use segmind/Segmind-VegaRT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use segmind/Segmind-VegaRT with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("segmind/Segmind-Vega", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("segmind/Segmind-VegaRT") 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
- Xet hash:
- 4128f3e23379cb3d9849103599688379df692cb5e07a15645cb93505783ac22c
- Size of remote file:
- 239 MB
- SHA256:
- 9b6e8cd833fa205eaeeed391ca623a6f2546e447470bd1c5dcce3fa8d2f26afb
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