Text-to-Image
Diffusers
TensorBoard
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
diffusers-training
lora
template:sd-lora
sd3
sd3-diffusers
Instructions to use SidXXD/Analytical_Cubism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/Analytical_Cubism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("SidXXD/Analytical_Cubism") prompt = "photo of a <v1*> painting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Ctrl+K
- 1736264301.5684218
- 1736264301.5700293
- 1736269911.4888322
- 1736269911.4908922
- 1736272381.4752624
- 1736272381.4772031
- 1736275661.3982017
- 1736275661.3998532
- 1736281352.2687905
- 1736281352.270614
- 1736287027.5338979
- 1736287027.535603
- 1736292699.7825756
- 1736292699.7841291
- 1736298379.0256097
- 1736298379.0279741
- 1736304046.9069197
- 1736304046.90854
- 1736309694.923957
- 1736309694.925762
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet
- 20.8 kB xet