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.bin from ashnrk/textual_inversion_pasture: direct link, hf CLI and curl.
- Browser
- Download file 4.86 kB
-
https://huggingface.co/ashnrk/textual_inversion_pasture/resolve/main/learned_embeds.bin
- Command line
-
hf download hf://ashnrk/textual_inversion_pasture/learned_embeds.bin
-
curl -L -o learned_embeds.bin https://huggingface.co/ashnrk/textual_inversion_pasture/resolve/main/learned_embeds.bin
4.86 kB
- Xet hash:
- ce5a49ee423886bf8b5a514ca0e6d8915c79644f76322af0cd38701af5abeec5
- Size of remote file:
- 4.86 kB
- SHA256:
- 1899f71fed221deab95e849718a759ced20b26f05c569e6ddbfae90d14d1538c
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