Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use hangeol/3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hangeol/3 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/3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from hangeol/3: direct link, hf CLI and curl.
- Browser
- Download file 396 Bytes
-
https://huggingface.co/hangeol/3/resolve/main/README.md
- Command line
-
hf download hf://hangeol/3/README.md
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curl -L -o README.md https://huggingface.co/hangeol/3/resolve/main/README.md
396 Bytes
metadata
license: creativeml-openrail-m
base_model: runwayml/stable-diffusion-v1-5
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- textual_inversion
inference: true
Textual inversion text2image fine-tuning - hangeol/3
These are textual inversion adaption weights for runwayml/stable-diffusion-v1-5. You can find some example images in the following.