Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use jiaenyue/dashdash-cat-heywhale with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jiaenyue/dashdash-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("jiaenyue/dashdash-cat-heywhale", dtype=torch.bfloat16, device_map="cuda") prompt = "a dashdash cat fight with alian in Loch Ness" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jiaenyue/dashdash-cat-heywhale", dtype=torch.bfloat16, device_map="cuda")
prompt = "a dashdash cat fight with alian in Loch Ness"
image = pipe(prompt).images[0]DreamBooth model for the dashdash concept trained by jiaenyue.
This is a Stable Diffusion model fine-tuned on the dashdash concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of dashdash 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('jiaenyue/dashdash-cat-heywhale')
image = pipeline().images[0]
image
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