Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use tymasf/textual_inversion_cezanne with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tymasf/textual_inversion_cezanne 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("tymasf/textual_inversion_cezanne") - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- fa3d5b7d0338eee0d108835422f7813580087af68e818cb2119334c01acd006d
- Size of remote file:
- 304 MB
- SHA256:
- 5db47bc3916b67387acd2cb474dc2b71ea6a6bb1e68c8af0da62d2ea0689e081
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