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 Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/Analytical_Cubism: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/Analytical_Cubism/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/Analytical_Cubism/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/Analytical_Cubism/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- fd8aa0de8df0c7a838a9c23ac3dec2876c4f0fd851cf7f4861a35d4d1094069e
- Size of remote file:
- 76.7 MB
- SHA256:
- 202e0f718d16c3df73c1a7a8449ed4beb9d630a019aa47f24de7f54d7c8eff5a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.