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
- Xet hash:
- 47ac85e568659f0f8bce6c2c6ee832d9c39016dd1cabb112c0aedddbbfc43042
- Size of remote file:
- 492 MB
- SHA256:
- 9783fc217f5d2b4f4d57dd8b8c8ed351a64630112806ce938765f84673c2cfc6
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