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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8335340a41f4980d140d75489abdf6aabc2a0604428e13dc5777ef07aaa30965
- Size of remote file:
- 15 MB
- SHA256:
- 76ed1aa4bb258fd65dbf242c2be73c1d75cfa34a3a56b00d49f44b429f66f4ad
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