Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use KCS97/duck_toy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KCS97/duck_toy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KCS97/duck_toy", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks toy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-600/optimizer.bin from KCS97/duck_toy: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/KCS97/duck_toy/resolve/main/checkpoint-600/optimizer.bin
- Command line
-
hf download hf://KCS97/duck_toy/checkpoint-600/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/KCS97/duck_toy/resolve/main/checkpoint-600/optimizer.bin
6.88 GB
- Xet hash:
- 00a0e8df40fd46c3610852c9e546fdb9ab66abcf5df51c8d699a632652b0b31f
- Size of remote file:
- 6.88 GB
- SHA256:
- f591d5a2af1c6c756319e0b9779f24b48614989cda55ebf8e42fd140d39f44ce
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