Instructions to use jha2ee/StableDiffusion_finetuning_cat_emoticon_style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jha2ee/StableDiffusion_finetuning_cat_emoticon_style 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_cat_emoticon_style", 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 text_encoder/pytorch_model.bin from jha2ee/StableDiffusion_finetuning_cat_emoticon_style: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/jha2ee/StableDiffusion_finetuning_cat_emoticon_style/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://jha2ee/StableDiffusion_finetuning_cat_emoticon_style/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/jha2ee/StableDiffusion_finetuning_cat_emoticon_style/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 40b2c0004de170efa033ef768493216b7400b1d98634fd291edd2f488a8a01cf
- Size of remote file:
- 246 MB
- SHA256:
- c6fa3bb6cbd36efccf5d1ac0f9da7e40cd7b7500b516a2f576e3b92edbd08ad5
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