Instructions to use spaceinvader/fb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use spaceinvader/fb with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("spaceinvader/fb", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add Diffusers weights
Add Diffusers weights converted from checkpoint `epoch=000253-pruned.ckpt` in revision 4f4f72ff523679e201b92ff4cb9ffcecf1f946c69eef7ef
-
Upload epoch=000317.ckpt with huggingface_hub
4f4f72f -
Upload epoch=000253-pruned.ckpt with huggingface_hub
e7fdecb -
Upload epoch=000285.ckpt with huggingface_hub
251415e -
Upload epoch=000253.ckpt with huggingface_hub
4eadc04 -
Upload epoch=000158.ckpt with huggingface_hub
e02a935 -
Upload epoch=000126.ckpt with huggingface_hub
cc743c8 -
Upload epoch=000095.ckpt with huggingface_hub
a4e88ed -
Upload epoch=000063.ckpt with huggingface_hub
8b3fb61 -
Create tes/test.txt
cbb4a90 -
Create model_index.json
b8ad9b4 -
Upload epoch=000031.ckpt with huggingface_hub
901f60d -
initial commit
198e87b