Text-to-Image
Diffusers
TensorBoard
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use FaceSoft/cbox_LoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FaceSoft/cbox_LoRA with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FaceSoft/cbox_LoRA", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of Cornell box" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- checkpoint-1000
- checkpoint-10000
- checkpoint-11000
- checkpoint-12000
- checkpoint-1434
- checkpoint-15000
- checkpoint-15010
- checkpoint-2000
- checkpoint-2151
- checkpoint-2868
- checkpoint-3000
- checkpoint-3585
- checkpoint-4000
- checkpoint-4302
- checkpoint-5000
- checkpoint-5019
- checkpoint-5736
- checkpoint-6000
- checkpoint-6453
- checkpoint-7000
- checkpoint-717
- checkpoint-7170
- checkpoint-7887
- checkpoint-8000
- checkpoint-8604
- checkpoint-9000
- checkpoint-9321
- logs
- 1.52 kB
- 1.55 kB
- 23.4 MB xet