Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
BLACK-MTYH-WUKONG
Instructions to use BoHu370/lgd-old-man-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BoHu370/lgd-old-man-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BoHu370/lgd-old-man-v1", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of lgd old man playing computer game" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the lgd concept trained by BoHu370 on the BoHu370/Land_Grandfather_v1 dataset.
This is a Stable Diffusion model fine-tuned on the lgd concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of lgd old man
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 old man images.
The images is from the game Black Myth WUKONG.
Usage
from diffusers import StableDiffusionPipeline
pipe = StableDiffusionPipeline.from_pretrained('BoHu370/lgd-old-man')
prompt = f"a photo of lgd old man playing computer game"
guidance_scale = 5
num_cols = 2
all_images = []
for _ in range(num_cols):
images = pipe(prompt, guidance_scale=guidance_scale).images
all_images.extend(images)
image_grid(all_images, 1, num_cols)
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