Instructions to use ccc8/c7 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ccc8/c7 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ccc8/c7", dtype=torch.bfloat16, device_map="cuda") prompt = "masterpiece forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Update vae/config.json
Verified signaturee45e80a -
Update vae/config.json
Verified signaturea57007b
-
Update vae/config.json
Verified signatureae21ea9 -
Update vae/config.json
Verified signature29db0ff -
Update vae/config.json
Verified signature3201022 -
Update vae/config.json
Verified signature2094f37 -
Upload diffusion_pytorch_model.safetensors
Verified signature5b412cd -
Create vae/config.json
Verified signaturef4410b0