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
Fooocus preset for Segmind-VegaRT
VegaRT works fine in Fooocus with this preset:
{
"default_model": "segmind-vega.safetensors",
"default_loras": [["pytorch_lora_weights_vega.safetensors",1.0],["None",1.0],["None",1.0],["None",1.0],["None",1.0]],
"default_advanced_checkbox": true,
"default_image_number": 1,
"default_performance": "Extreme Speed",
"default_overwrite_step": 4,
"default_prompt": "backlight, wilderness woman hunting in jungle hiding behind leaves, face paintings closeup face portrait, detailed eyes, nature documentary, dry skin, fuzzy skin, lens flare",
"default_styles": ["Fooocus V2"],
"default_aspect_ratio": "1024*1024",
"checkpoint_downloads": {"segmind-vega.safetensors": "https://huggingface.co/segmind/Segmind-Vega/resolve/main/segmind-vega.safetensors?download=true"},
"embeddings_downloads": {},
"lora_downloads": {"pytorch_lora_weights_vega.safetensors": "https://huggingface.co/segmind/Segmind-VegaRT/resolve/main/pytorch_lora_weights.safetensors?download=true"}
}
