Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use Jade1211/textual_inversion_rocket with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jade1211/textual_inversion_rocket 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("Jade1211/textual_inversion_rocket") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-2000/optimizer.bin from Jade1211/textual_inversion_rocket: direct link, hf CLI and curl.
- Browser
- Download file 304 MB
-
https://huggingface.co/Jade1211/textual_inversion_rocket/resolve/main/checkpoint-2000/optimizer.bin
- Command line
-
hf download hf://Jade1211/textual_inversion_rocket/checkpoint-2000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Jade1211/textual_inversion_rocket/resolve/main/checkpoint-2000/optimizer.bin
304 MB
- Xet hash:
- 1560a6aa10f2e9a0ffe970c243c5b01d44371892fdce3c87ad777ef787e99adb
- Size of remote file:
- 304 MB
- SHA256:
- d389cef4c432b2c1795014e6238d03843c5a60223e81c26ab8a674c8497811d1
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