Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
textual_inversion
Instructions to use dxli/dog3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dxli/dog3 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("dxli/dog3") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download learned_embeds-steps-500.bin from dxli/dog3: direct link, hf CLI and curl.
- Browser
- Download file 3.93 kB
-
https://huggingface.co/dxli/dog3/resolve/main/learned_embeds-steps-500.bin
- Command line
-
hf download hf://dxli/dog3/learned_embeds-steps-500.bin
-
curl -L -o learned_embeds-steps-500.bin https://huggingface.co/dxli/dog3/resolve/main/learned_embeds-steps-500.bin
3.93 kB
- Xet hash:
- 1487088b1bad1f3adb8107d274aed335cb60ecb9b2065626a8a4ffbb8b7c13f6
- Size of remote file:
- 3.93 kB
- SHA256:
- 4847bd5ffc44e408898e05a7858b3117733756ba54e2a6ca38df26969a73f5f4
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