Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/cat2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/cat2 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("dxli/cat2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2500/optimizer.bin from dxli/cat2: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dxli/cat2/resolve/main/checkpoint-2500/optimizer.bin
- Command line
-
hf download hf://dxli/cat2/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dxli/cat2/resolve/main/checkpoint-2500/optimizer.bin
304 MB
- Xet hash:
- 2c5b5b5f0a496f85a4fc159312e77c946ae6964c02429981127a0ae791da2c85
- Size of remote file:
- 304 MB
- SHA256:
- ef068f21915cf52aaca9a94e879fa1362dad3078e52154d67766523feac41534
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