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_1.png from thanhuitha/dreembooth_ckpt_lora: direct link, hf CLI and curl.
- Browser
- Download file 385 kB
-
https://huggingface.co/thanhuitha/dreembooth_ckpt_lora/resolve/main/image_1.png
- Command line
-
hf download hf://thanhuitha/dreembooth_ckpt_lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/thanhuitha/dreembooth_ckpt_lora/resolve/main/image_1.png
385 kB

- Xet hash:
- 7578a9eae51c4c8179c078132bbe4c81cdc80595614d4c67e4ab2f5ac3dbb0c9
- Size of remote file:
- 385 kB
- SHA256:
- 05d7840a4223b418f971f93360920b142827e50efe0ace7a05779de2c7eb7259
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