Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use camgitblame/alien with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camgitblame/alien 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/alien", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks alien" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 82e60dfe211e4cad23195977bc851f19d7c1084b771d9a9268a69a10b52a65ec
- Size of remote file:
- 7.86 GB
- SHA256:
- d90cc57a4183f0ed794576f6b6eb68630074688a763ada97862d97f0171f37a6
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