Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use jajaja555/test_250511_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jajaja555/test_250511_1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jajaja555/test_250511_1", dtype=torch.bfloat16, device_map="cuda") prompt = "An Optical Coherence Tomography B-scan image of a Macular Hole, six months post-surgery with poor visual outcome." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
DreamBooth - jajaja555/test_250511_1
This is a dreambooth model derived from jajaja555/SD-v1.5_fullFT__OCT2017_20240415__30000steps_1e-07__mse. The weights were trained on An Optical Coherence Tomography B-scan image of a Macular Hole, six months post-surgery with poor visual outcome. using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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