Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use 8eomio/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use 8eomio/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("8eomio/models-moved", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks backpack" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from 8eomio/models-moved: direct link, hf CLI and curl.
- Browser
- Download file 6.88 GB
-
https://huggingface.co/8eomio/models-moved/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://8eomio/models-moved/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/8eomio/models-moved/resolve/main/checkpoint-500/optimizer.bin
6.88 GB
- Xet hash:
- 95a4f20aaf125290e9f103498c9d6cbd6e21a607bcec3852adfdac7afb4290bc
- Size of remote file:
- 6.88 GB
- SHA256:
- 86a7327d88b6e420009feee31761e7ec4bd01a60d6a354aa127f1e78c4ccdc46
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