Instructions to use ckpt/DucHaitenAIart-beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ckpt/DucHaitenAIart-beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ckpt/DucHaitenAIart-beta", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download text_encoder/pytorch_model.bin from ckpt/DucHaitenAIart-beta: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/ckpt/DucHaitenAIart-beta/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://ckpt/DucHaitenAIart-beta/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ckpt/DucHaitenAIart-beta/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 648a7e318984124ce513eee6ba7f64a80db308b59ab88b1504ff3ab2190fe2bd
- Size of remote file:
- 492 MB
- SHA256:
- f69eac4aca6153a5342f5ef6b49bce23414091075618265efd055e801fe90313
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