Image-to-Image
Diffusers
Safetensors
HSIGenePipeline
hsigene
hyperspectral
latent-diffusion
controlnet
Instructions to use BiliSakura/HSIGene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BiliSakura/HSIGene with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("BiliSakura/HSIGene") pipe = StableDiffusionControlNetPipeline.from_pretrained( "fill-in-base-model", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
| { | |
| "_class_name": "DDIMScheduler", | |
| "_diffusers_version": "0.37.0", | |
| "beta_end": 0.02, | |
| "beta_schedule": "scaled_linear", | |
| "beta_start": 0.0001, | |
| "clip_sample": false, | |
| "clip_sample_range": 1.0, | |
| "dynamic_thresholding_ratio": 0.995, | |
| "num_train_timesteps": 1000, | |
| "prediction_type": "epsilon", | |
| "rescale_betas_zero_snr": false, | |
| "sample_max_value": 1.0, | |
| "set_alpha_to_one": false, | |
| "steps_offset": 0, | |
| "thresholding": false, | |
| "timestep_spacing": "leading", | |
| "trained_betas": null | |
| } | |