Instructions to use passionful7/dog_dreambooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use passionful7/dog_dreambooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("passionful7/dog_dreambooth") prompt = "a photo of TOK yarn art dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/optimizer.bin from passionful7/dog_dreambooth: direct link, hf CLI and curl.
- Browser
- Download file 357 MB
-
https://huggingface.co/passionful7/dog_dreambooth/resolve/main/checkpoint-1000/optimizer.bin
- Command line
-
hf download hf://passionful7/dog_dreambooth/checkpoint-1000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/passionful7/dog_dreambooth/resolve/main/checkpoint-1000/optimizer.bin
357 MB
- Xet hash:
- 9589ee7554a1754c50ef11e6dd640f19567ecc4b750abd7d843321cf3c7beb20
- Size of remote file:
- 357 MB
- SHA256:
- c1dbff0fcfc3475bb33dd18f13c3fe6a753d4550a249e4ac5516b7355e221903
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