Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_32 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("anic87/textual_inversion_32") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2129fd7d9e62086dae5bcdd1d5f78aa87a539fa6a490308578867742adc9ab0e
- Size of remote file:
- 304 MB
- SHA256:
- 38c8774a0d3e71b6693f3fb70d6e6a6a0c8a290043ce7e6246d38071039b6af4
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