Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
Instructions to use Xhaheen/srkay-man_6-1-2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Xhaheen/srkay-man_6-1-2022 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Xhaheen/srkay-man_6-1-2022", dtype=torch.bfloat16, device_map="cuda") prompt = "a photorealistic image of srkay" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
DreamBooth model for the srkay concept trained by Xhaheen on the Xhaheen/dreambooth-hackathon-images-srkman-2 dataset.
This is a Stable Diffusion model fine-tuned on the sha rukh khan images with DreamBooth. It can be used by modifying the instance_prompt: a photo of srkay man
This model was created as part of the DreamBooth Hackathon ๐ฅ. Visit the organisation page for instructions on how to take part!
Dataset used
Description
This is a Stable Diffusion model fine-tuned on man images for the wildcard theme.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Xhaheen/srkay-man_6-1-2022')
image = pipeline().images[0]
image
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