Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use gchen019/dog3_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/dog3_weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gchen019/dog3_weights", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from gchen019/dog3_weights: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/gchen019/dog3_weights/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://gchen019/dog3_weights/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/gchen019/dog3_weights/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 4a5a20d1b85fef9bc8cb52856f3973edc29affd17990ae203472e5c8be93fcff
- Size of remote file:
- 6.88 GB
- SHA256:
- c1d0eed9d7703a44cab57a4bceb49b79b2828eda677167956444d6fcd84fba8f
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