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
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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
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