Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use ashnrk/textual_inversion_industrial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ashnrk/textual_inversion_industrial 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_industrial") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-2000.bin from ashnrk/textual_inversion_industrial: direct link, hf CLI and curl.
- Browser
- Download file 5.03 kB
-
https://huggingface.co/ashnrk/textual_inversion_industrial/resolve/main/learned_embeds-steps-2000.bin
- Command line
-
hf download hf://ashnrk/textual_inversion_industrial/learned_embeds-steps-2000.bin
-
curl -L -o learned_embeds-steps-2000.bin https://huggingface.co/ashnrk/textual_inversion_industrial/resolve/main/learned_embeds-steps-2000.bin
5.03 kB
- Xet hash:
- 7af7307ac9afdfda726c58bf8210695f7fbfb934dfdf3871fd5c97a3d9a1897c
- Size of remote file:
- 5.03 kB
- SHA256:
- c479183176b86341b006864735f988e44e6ca8a6b35f752684ea131bd607632b
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