Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use ashnrk/textual_inversion_pasture with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashnrk/textual_inversion_pasture 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_pasture") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-3000.bin from ashnrk/textual_inversion_pasture: direct link, hf CLI and curl.
- Browser
- Download file 5.03 kB
-
https://huggingface.co/ashnrk/textual_inversion_pasture/resolve/main/learned_embeds-steps-3000.bin
- Command line
-
hf download hf://ashnrk/textual_inversion_pasture/learned_embeds-steps-3000.bin
-
curl -L -o learned_embeds-steps-3000.bin https://huggingface.co/ashnrk/textual_inversion_pasture/resolve/main/learned_embeds-steps-3000.bin
5.03 kB
- Xet hash:
- 2d42b698ac5a296f126dac60a04bbb1ce07eafdabb3cb00bd9ebb9352fceaf51
- Size of remote file:
- 5.03 kB
- SHA256:
- 4ff76bcdc5844aef29ef352b2e519d229922f2561e98d9eaaab0760e15ea12f4
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