Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use manosp/textual_inversion_moto with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manosp/textual_inversion_moto 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("manosp/textual_inversion_moto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-2500.bin from manosp/textual_inversion_moto: direct link, hf CLI and curl.
- Browser
- Download file 3.94 kB
-
https://huggingface.co/manosp/textual_inversion_moto/resolve/main/learned_embeds-steps-2500.bin
- Command line
-
hf download hf://manosp/textual_inversion_moto/learned_embeds-steps-2500.bin
-
curl -L -o learned_embeds-steps-2500.bin https://huggingface.co/manosp/textual_inversion_moto/resolve/main/learned_embeds-steps-2500.bin
3.94 kB
- Xet hash:
- b46870d8d837f17793c8697b2b4f2e6b3c1e49003a86c0c48a9a3a53ccb41ca0
- Size of remote file:
- 3.94 kB
- SHA256:
- 6e931e17cd03be56e2ac97cc80db91170c04ff495d437ffbc6f64777d2b3e3f9
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