Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use JJSLL/Cat_object with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JJSLL/Cat_object with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("JJSLL/Cat_object") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds.safetensors from JJSLL/Cat_object: direct link, hf CLI and curl.
- Browser
- Download file 3.18 kB
-
https://huggingface.co/JJSLL/Cat_object/resolve/main/learned_embeds.safetensors
- Command line
-
hf download hf://JJSLL/Cat_object/learned_embeds.safetensors
-
curl -L -o learned_embeds.safetensors https://huggingface.co/JJSLL/Cat_object/resolve/main/learned_embeds.safetensors
3.18 kB
- Xet hash:
- a8af234476db609c567e11c30a22666f6d5702b939a6c1989130ac95327ba0c2
- Size of remote file:
- 3.18 kB
- SHA256:
- 4d0869471dd27409c1a627719e811c18d5b49477beeb13c90249ff5992f106a5
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