Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use ccsimon123/path-to-save-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccsimon123/path-to-save-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ccsimon123/path-to-save-model", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from ccsimon123/path-to-save-model: direct link, hf CLI and curl.
- Browser
- Download file 1.97 GB
-
https://huggingface.co/ccsimon123/path-to-save-model/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://ccsimon123/path-to-save-model/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/ccsimon123/path-to-save-model/resolve/main/checkpoint-500/optimizer.bin
1.97 GB
- Xet hash:
- e8adcaa70d7e5594fa25bcb18331160c0fdce92a636ea3ec786445a86d9227c7
- Size of remote file:
- 1.97 GB
- SHA256:
- c5d804cf95a2ecabeeee7a8a0aee9071ad38b41aea1bf46e4ae289efee9c0969
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