Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use GV05/clashgoblin-person with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GV05/clashgoblin-person with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GV05/clashgoblin-person", dtype=torch.bfloat16, device_map="cuda") prompt = "clashgoblin person Portrait, by Jakub Rozalski." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth model for the clashgoblin concept trained by GV05 on the GV05/dreambooth-hackathon-images dataset.
This is a Stable Diffusion model fine-tuned on the clashgoblin concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of clashgoblin person
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Images generated by model
Description
This is a Stable Diffusion model fine-tuned on goblin charachter images from clash royale game for the wildcard theme.
Usage
from diffusers import StableDiffusionPipeline
prompt = "clashgoblin person Portrait, by Jakub Rozalski."
pipeline = StableDiffusionPipeline.from_pretrained('GV05/clashgoblin-person')
image = pipeline(prompt, guidance_scale=9).images[0]
image
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