Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_normal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_normal 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("anic87/textual_inversion_normal") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-2000.bin from anic87/textual_inversion_normal: direct link, hf CLI and curl.
- Browser
- Download file 99.1 kB
-
https://huggingface.co/anic87/textual_inversion_normal/resolve/main/learned_embeds-steps-2000.bin
- Command line
-
hf download hf://anic87/textual_inversion_normal/learned_embeds-steps-2000.bin
-
curl -L -o learned_embeds-steps-2000.bin https://huggingface.co/anic87/textual_inversion_normal/resolve/main/learned_embeds-steps-2000.bin
99.1 kB
- Xet hash:
- ac438702ad2210e3a5673209e3b16cd4a667d6ed980d73aa47976d3dff210a4c
- Size of remote file:
- 99.1 kB
- SHA256:
- 095d4f8263bd65b95804d47ccb7722e8b1c40b3050a9e6590de79f1cfe69412c
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