Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use gchen019/textual_inversion_robot_weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gchen019/textual_inversion_robot_weights with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-legacy/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_textual_inversion("gchen019/textual_inversion_robot_weights") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a7dc0131ec29a7f38fed866516e53c231a8b735b62303869bcbd43b6191754db
- Size of remote file:
- 1 kB
- SHA256:
- 5484c6ff4bca55d86f0d54575371a1f3b26246b4ff863161800c9be8539d8c77
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