Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use anic87/textual_inversion_well with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use anic87/textual_inversion_well 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_well") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-3000/scheduler.bin from anic87/textual_inversion_well: direct link, hf CLI and curl.
- Browser
- Download file 559 Bytes
-
https://huggingface.co/anic87/textual_inversion_well/resolve/main/checkpoint-3000/scheduler.bin
- Command line
-
hf download hf://anic87/textual_inversion_well/checkpoint-3000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/anic87/textual_inversion_well/resolve/main/checkpoint-3000/scheduler.bin
559 Bytes
- Xet hash:
- 40a66c8cb5de971b5dbf7dd6f12bdd09a7d2011d8e42303895efa86ed377c146
- Size of remote file:
- 559 Bytes
- SHA256:
- 06bd87680b9ba3e457d5445aa18e4a8acf174a8b7a80ceb7f4d9509a9a4eb197
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