Text-to-Image
Diffusers
English
NeuronStableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Neuron
Inferentia
Instructions to use Shekswess/Juggernaut-XI-v11-Neuron with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Shekswess/Juggernaut-XI-v11-Neuron with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shekswess/Juggernaut-XI-v11-Neuron", 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 Settings
- Draw Things
- DiffusionBee
File size: 745 Bytes
9043ad6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 | {
"_class_name": "NeuronStableDiffusionXLPipeline",
"_diffusers_version": "0.30.3",
"feature_extractor": [
null,
null
],
"force_zeros_for_empty_prompt": true,
"image_encoder": [
null,
null
],
"scheduler": [
"diffusers",
"EulerDiscreteScheduler"
],
"text_encoder": [
"optimum",
"NeuronModelTextEncoder"
],
"text_encoder_2": [
"optimum",
"NeuronModelTextEncoder"
],
"tokenizer": [
"transformers",
"CLIPTokenizer"
],
"tokenizer_2": [
"transformers",
"CLIPTokenizer"
],
"unet": [
"optimum",
"NeuronModelUnet"
],
"vae_decoder": [
"optimum",
"NeuronModelVaeDecoder"
],
"vae_encoder": [
"optimum",
"NeuronModelVaeEncoder"
]
}
|