Text-to-Image
Diffusers
TensorBoard
GGUF
stable-diffusion-xl
stable-diffusion-xl-diffusers
lora
image-to-image
art
custom-character
Instructions to use kiel2/Kiel-2-Image-HD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kiel2/Kiel-2-Image-HD with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kiel2/Kiel-2-Image-HD") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-100
- checkpoint-1000
- checkpoint-1050
- checkpoint-1100
- checkpoint-1150
- checkpoint-1200
- checkpoint-1250
- checkpoint-1300
- checkpoint-1350
- checkpoint-1400
- checkpoint-1450
- checkpoint-150
- checkpoint-1500
- checkpoint-1550
- checkpoint-1600
- checkpoint-1650
- checkpoint-1700
- checkpoint-1750
- checkpoint-1800
- checkpoint-200
- checkpoint-250
- checkpoint-300
- checkpoint-350
- checkpoint-400
- checkpoint-450
- checkpoint-50
- checkpoint-500
- checkpoint-550
- checkpoint-600
- checkpoint-650
- checkpoint-700
- checkpoint-750
- checkpoint-800
- checkpoint-850
- checkpoint-900
- checkpoint-950
- logs
- 898 Bytes
- 5.32 GB xet
- 3.51 kB
- 5.32 GB xet
- 186 MB xet