Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
diffusers-training
Instructions to use DJMOON/spr_ti_02 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DJMOON/spr_ti_02 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("DJMOON/spr_ti_02") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8b590bada026d3553414d1ae9828c8bcb349528be33a74a3d1f67ad9af9de31b
- Size of remote file:
- 304 MB
- SHA256:
- 3802f1830ac5ab1c5264f6a27e5701d14a47f8a1dc08a42abfad38c79cc09efc
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