Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use Skryg/textual_inversion_battle_scene with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Skryg/textual_inversion_battle_scene with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("Skryg/textual_inversion_battle_scene") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_2.png from Skryg/textual_inversion_battle_scene: direct link, hf CLI and curl.
- Browser
- Download file 428 kB
-
https://huggingface.co/Skryg/textual_inversion_battle_scene/resolve/main/image_2.png
- Command line
-
hf download hf://Skryg/textual_inversion_battle_scene/image_2.png
-
curl -L -o image_2.png https://huggingface.co/Skryg/textual_inversion_battle_scene/resolve/main/image_2.png
428 kB

- Xet hash:
- ef8539b705c95c23b9b5e80dd1ae80d7e58faba4459a795b2392ea7514d241f2
- Size of remote file:
- 428 kB
- SHA256:
- 864d64b1d6ec47527c51b157a52d613df27837423dd0be1e57ff139923235c3f
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