Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
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]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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