Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/dog5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/dog5 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/dog5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/optimizer.bin from dxli/dog5: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/dxli/dog5/resolve/main/checkpoint-3000/optimizer.bin
- Command line
-
hf download hf://dxli/dog5/checkpoint-3000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/dxli/dog5/resolve/main/checkpoint-3000/optimizer.bin
304 MB
- Xet hash:
- d805b8d99a474ac7313e106737e3c3c71d5c603b57fb8e16dd244b8d61c67139
- Size of remote file:
- 304 MB
- SHA256:
- 4ef18c9852511f858597e890cef6b9a2c6252cf2c42afe532446c2f706faed44
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