Text-to-Image
Diffusers
TensorBoard
Safetensors
GGUF
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
image-to-image
lora
kielforge-fast
Instructions to use kiel2/KielForge-fast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kiel2/KielForge-fast 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/KielForge-fast") 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
- Xet hash:
- c56ed4f7e406d5b4bfdb601f5ef1f8607179c9a3d4c56a5128eb598b7e9bfcb7
- Size of remote file:
- 60.3 MB
- SHA256:
- 4ec25d5405c70ea678c0a21e3e88e50580df6abf581e87ccc522427ecb9daf6d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.