Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use CCMat/fluffalpaca-llama-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CCMat/fluffalpaca-llama-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CCMat/fluffalpaca-llama-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of fluffalpaca llama in front of the Colosseum in Rome" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit History
-
Add `scale_factor` to vae config. (#1)
- Add `scale_factor` to vae config. (a7abb4eca8dc9bdd94e66659eee7c5604aa92263) Co-authored-by: Suraj Patil <valhalla@users.noreply.huggingface.co>d26c4c6
-
Update README.md
718a33e -
Update README.md
f6cf9f0 -
Update README.md
3be6695 -
Update README.md
91d7760
-
Update README.md
2693dcd -
Upload 14 files
c0889e3 -
Delete feature_extractor
be6a92b -
Delete scheduler
935b233 -
Delete text_encoder
785e109 -
Delete tokenizer
e5caff9 -
Delete unet
b1aa93b -
Delete vae
ac69526 -
Delete .gitattributes
0821015 -
Delete model_index.json
2bd0efe
-
Update README.md
db6b5b6
-
Upload README.md with huggingface_hub
6c136a7 -
Upload with huggingface_hub
1f82b61 -
initial commit
7d6a121