Instructions to use baruga/hideous-blobfish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use baruga/hideous-blobfish with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("baruga/hideous-blobfish", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of blofi fish in Times Square." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Description
This is a Stable Diffusion model fine-tuned on the infamous blobfish (often remarked as the ugliest animal in the world) for the DreamBooth Hackathon ๐ฅ animal theme. To participate or learn more, visit this page.
To generate blobfish images, use a photo of blofi fish in [your choice] or experiment with other variations. For some reason, GFC scale 5 seems to give the best results, at 7 images start get "overcooked". Despite multiple training runs with various settings, I couldn't fully solve this problem. Additional modifiers and negative prompts may also improve results.
Examples
a photo of blofi fish wearing a beautiful flower crown.
a photo of blofi fish in nerdy glasses.
a photo of blofi fish at the Arctic in a fluffy hat.
top rated surrealist painting of blofi fish by Salvador Dalรญ, intricate details.
top rated colorful origami photo of blofi fish.

Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('baruga/hideous-blobfish')
image = pipeline().images[0]
image
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