Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use SidXXD/_test_ti with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/_test_ti with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("SidXXD/_test_ti") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds.bin from SidXXD/_test_ti: direct link, hf CLI and curl.
- Browser
- Download file 4.29 kB
-
https://huggingface.co/SidXXD/_test_ti/resolve/main/learned_embeds.bin
- Command line
-
hf download hf://SidXXD/_test_ti/learned_embeds.bin
-
curl -L -o learned_embeds.bin https://huggingface.co/SidXXD/_test_ti/resolve/main/learned_embeds.bin
4.29 kB
- Xet hash:
- 117988c5cf49fc78378b7aac9c0574979ccad82d2ba371f246f54357d49ea7f9
- Size of remote file:
- 4.29 kB
- SHA256:
- 849f1efc906328fcf5991ae73927cf3616839777f77ec88a97972832a81f83a0
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