Instructions to use jha2ee/StableDiffusion_finetuning_SisterIcon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jha2ee/StableDiffusion_finetuning_SisterIcon with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jha2ee/StableDiffusion_finetuning_SisterIcon", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from jha2ee/StableDiffusion_finetuning_SisterIcon: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/jha2ee/StableDiffusion_finetuning_SisterIcon/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://jha2ee/StableDiffusion_finetuning_SisterIcon/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/jha2ee/StableDiffusion_finetuning_SisterIcon/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 8b5765441bea7808d4cab25df2101fd03eb7027a4f9422ab9559f484d292c866
- Size of remote file:
- 3.44 GB
- SHA256:
- 6978b21cb11c317c684d4c8f76ae0c4af77616fc24cbdb0a0e7694ba4007771d
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