Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hangeol/5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hangeol/5 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("hangeol/5") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-500.bin from hangeol/5: direct link, hf CLI and curl.
- Browser
- Download file 25.5 kB
-
https://huggingface.co/hangeol/5/resolve/main/learned_embeds-steps-500.bin
- Command line
-
hf download hf://hangeol/5/learned_embeds-steps-500.bin
-
curl -L -o learned_embeds-steps-500.bin https://huggingface.co/hangeol/5/resolve/main/learned_embeds-steps-500.bin
25.5 kB
- Xet hash:
- 623200a288dd5238d454ee572bc136cc052ebd11b7669ce9e87f25d15fa4b576
- Size of remote file:
- 25.5 kB
- SHA256:
- 633e81859870471a39d83fecbc72bdf5e0e5039c39e19dc97ee78fe678b292cc
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