Instructions to use Yanrui95/NormalCrafter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yanrui95/NormalCrafter with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yanrui95/NormalCrafter", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
File size: 533 Bytes
7e24d68 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"_class_name": "EulerDiscreteScheduler",
"_diffusers_version": "0.24.0.dev0",
"beta_end": 0.012,
"beta_schedule": "scaled_linear",
"beta_start": 0.00085,
"clip_sample": false,
"interpolation_type": "linear",
"num_train_timesteps": 1000,
"prediction_type": "v_prediction",
"set_alpha_to_one": false,
"sigma_max": 700.0,
"sigma_min": 0.002,
"skip_prk_steps": true,
"steps_offset": 1,
"timestep_spacing": "leading",
"timestep_type": "continuous",
"trained_betas": null,
"use_karras_sigmas": true
}
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