Text-to-Image
Diffusers
diffusers-training
dora
template:sd-lora
stable-diffusion-xl
stable-diffusion-xl-diffusers
Instructions to use syedrubad/BUBT_DATASET_without_noise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use syedrubad/BUBT_DATASET_without_noise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("syedrubad/BUBT_DATASET_without_noise", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of BUBT campus" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Ctrl+K
- 2.84 kB
- 969 kB xet
- 1.27 MB xet
- 1.28 MB xet
- 1.12 MB xet
- 1.63 MB xet
- 792 kB xet
- 1.46 MB xet
- 1.34 MB xet
- 1.17 MB xet
- 1.78 MB xet
- 665 kB xet
- 1.33 MB xet
- 982 kB xet
- 1.2 MB xet
- 933 kB xet
- 1.55 MB xet
- 1.04 MB xet
- 715 kB xet
- 1.37 MB xet
- 1.23 MB xet
- 1.48 MB xet
- 1.51 MB xet
- 1.17 MB xet
- 1.08 MB xet
- 1.42 MB xet
- 1.55 MB xet
- 1.42 MB xet
- 1.43 MB xet
- 1.36 MB xet
- 1.14 MB xet
- 1.09 MB xet
- 1.61 kB
- 3.15 kB