Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hcarrion/hyperpigmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hcarrion/hyperpigmentation with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("hcarrion/hyperpigmentation") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from hcarrion/hyperpigmentation: direct link, hf CLI and curl.
- Browser
- Download file 405 MB
-
https://huggingface.co/hcarrion/hyperpigmentation/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://hcarrion/hyperpigmentation/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/hcarrion/hyperpigmentation/resolve/main/checkpoint-500/optimizer.bin
405 MB
- Xet hash:
- aa4d57875664b997ca5a8562c8e96bdb3d38abe5c74e7347de3d80674024a2bc
- Size of remote file:
- 405 MB
- SHA256:
- 10c58d4ab320d1d0e594b41609e0e00cc085fa6f402ba224f40cff6a4b84bbaf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.