Instructions to use UEXdo/HeightAdaptor-weight with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use UEXdo/HeightAdaptor-weight with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("UEXdo/HeightAdaptor-weight", 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: 556 Bytes
e08c1f1 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"_class_name":"MarigoldPipeline",
"_diffusers_version":"0.24.0",
"scale_invariant": true,
"shift_invariant": true,
"default_denoising_steps": 10,
"default_processing_resolution": 768,
"unet":[
"diffusers",
"UNet2DConditionModel"
],
"vae":[
"diffusers",
"AutoencoderKL"
],
"scheduler":[
"diffusers",
"DDIMScheduler"
],
"text_encoder":[
"transformers",
"CLIPTextModel"
],
"tokenizer":[
"transformers",
"CLIPTokenizer"
]
} |