Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use ssup2/dogbooth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ssup2/dogbooth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ssup2/dogbooth", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of [v]dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from ssup2/dogbooth: direct link, hf CLI and curl.
- Browser
- Download file 1.74 GB
-
https://huggingface.co/ssup2/dogbooth/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://ssup2/dogbooth/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ssup2/dogbooth/resolve/main/checkpoint-500/optimizer.bin
1.74 GB
- Xet hash:
- b12e298c68255d32647fe66378cbadd96ae65c17f81203ab80310c4872bfc389
- Size of remote file:
- 1.74 GB
- SHA256:
- 613cf97ad6f0d00882c8363cd14a4812a81217fc8abf41a4bf56ed15003d53f7
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