Instructions to use thanhuitha/dreembooth_ckpt_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use thanhuitha/dreembooth_ckpt_lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("thanhuitha/dreembooth_ckpt_lora") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from thanhuitha/dreembooth_ckpt_lora: direct link, hf CLI and curl.
- Browser
- Download file 357 kB
-
https://huggingface.co/thanhuitha/dreembooth_ckpt_lora/resolve/main/image_2.png
- Command line
-
hf download hf://thanhuitha/dreembooth_ckpt_lora/image_2.png
-
curl -L -o image_2.png https://huggingface.co/thanhuitha/dreembooth_ckpt_lora/resolve/main/image_2.png
357 kB

- Xet hash:
- ddcd9a3097886d7d12dff5cd2cb58b78ac09ec017284cc29e6a05c1f5aa42da0
- Size of remote file:
- 357 kB
- SHA256:
- a10fa07009b3d1d8eea78031ec93d3daed1cb1ff1e836ecc747774e259d8bba8
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