Text-to-Image
Diffusers
ONNX
English
StableDiffusionXLPipeline
stable-diffusion-xl
sdxl
lightning
4-step
photorealistic
fantasy
Instructions to use Heliosoph/juggernaut-xl-lightning-onnx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Heliosoph/juggernaut-xl-lightning-onnx with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Heliosoph/juggernaut-xl-lightning-onnx", 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
File size: 863 Bytes
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"_name_or_path": "C:\\Users\\Albert\\.cache\\huggingface\\hub\\models--RunDiffusion--Juggernaut-XL-Lightning\\snapshots\\a3035ee9ae36901d8a66b0eb646eb550c2e3ea99\\text_encoder_2",
"architectures": [
"CLIPTextModelWithProjection"
],
"attention_dropout": 0.0,
"bos_token_id": 0,
"dropout": 0.0,
"eos_token_id": 2,
"export_model_type": "clip-text-with-projection",
"hidden_act": "gelu",
"hidden_size": 1280,
"initializer_factor": 1.0,
"initializer_range": 0.02,
"intermediate_size": 5120,
"layer_norm_eps": 1e-05,
"max_position_embeddings": 77,
"model_type": "clip_text_model",
"num_attention_heads": 20,
"num_hidden_layers": 32,
"output_hidden_states": true,
"pad_token_id": 1,
"projection_dim": 1280,
"torch_dtype": "float32",
"transformers_version": "4.45.2",
"vocab_size": 49408
}
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