Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use camgitblame/passengers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camgitblame/passengers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camgitblame/passengers", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks passengers" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1500/optimizer.bin from camgitblame/passengers: direct link, hf CLI and curl.
- Browser
- Download file 7.86 GB
-
https://huggingface.co/camgitblame/passengers/resolve/main/checkpoint-1500/optimizer.bin
- Command line
-
hf download hf://camgitblame/passengers/checkpoint-1500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/camgitblame/passengers/resolve/main/checkpoint-1500/optimizer.bin
7.86 GB
- Xet hash:
- 387dd86b5398157ca73797d73e7d4a514045316b2cf9bc058102eec957c47739
- Size of remote file:
- 7.86 GB
- SHA256:
- e35b5c15d99fdb09a0ce0e431735b78757860805025cb46a69ce663d518ca516
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