Instructions to use avocadogogo/coco-cat-heywhale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use avocadogogo/coco-cat-heywhale with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("avocadogogo/coco-cat-heywhale", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of coco cat wearing awesome glasses in a forest full of sunshine" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth model for the coco concept trained by avocadogogo.
This is a Stable Diffusion model fine-tuned on the coco concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of coco cat
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on cat images for the animal theme,
for the Hugging Face DreamBooth Hackathon, from the HF CN Community,
corporated with the HeyWhale.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('avocadogogo/coco-cat-heywhale')
image = pipeline().images[0]
image
cases(prompt)
a photo of coco cat sitting on top of the deck of a battle ship traveling through the open sea with a lot of ships surrounding it
a photo of coco cat wearing awesome glasses in a forest full of sunshine
a cartoon digital art of coco cat

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