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:
- 47ac61d47ee6f6d7befa8858dbd2a0bc78ef24f0b5fcadf1825914d2a39dc0e0
- Size of remote file:
- 60.3 MB
- SHA256:
- ef6f4ae32b769b12d1908ca74d8600478cb540f7a217e1f37075ce60e4aad2ab
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