Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use gchen019/dog5_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/dog5_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/dog5_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/scheduler.bin from gchen019/dog5_weights: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/gchen019/dog5_weights/resolve/main/checkpoint-500/scheduler.bin
- Command line
-
hf download hf://gchen019/dog5_weights/checkpoint-500/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/gchen019/dog5_weights/resolve/main/checkpoint-500/scheduler.bin
1 kB
- Xet hash:
- 36a2633fd4c657cfc6e0da76e6b86584e1df4220357924cf6db7116de7d54054
- Size of remote file:
- 1 kB
- SHA256:
- 65115106fbd9463fa6c7133b543dece71c31fcba363ff15b8c73f8c7eb0739c5
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