Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use ashnrk/textual_inversion_forest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashnrk/textual_inversion_forest with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("ashnrk/textual_inversion_forest") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/pytorch_model.bin from ashnrk/textual_inversion_forest: direct link, hf CLI and curl.
- Browser
- Download file 1.36 GB
-
https://huggingface.co/ashnrk/textual_inversion_forest/resolve/main/checkpoint-1000/pytorch_model.bin
- Command line
-
hf download hf://ashnrk/textual_inversion_forest/checkpoint-1000/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ashnrk/textual_inversion_forest/resolve/main/checkpoint-1000/pytorch_model.bin
1.36 GB
- Xet hash:
- 1b2706bffaf06e06f58693dc8d629a01f013cf4e9d9e65675788aa419b4e5097
- Size of remote file:
- 1.36 GB
- SHA256:
- 0956fb226bec101b4fe1baf03123505c8b12b6cda03fd99b63b18bed2934b2fb
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