Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use fan4545/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fan4545/model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fan4545/model", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of F&X4545 lady" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
YAML Metadata Error:"base_model" with value "/content/drive/MyDrive/Colab/adwardPuzzle_model_2done" is not valid. Use a model id from https://hf.co/models.
DreamBooth - fan4545/model
This is a dreambooth model derived from /content/drive/MyDrive/Colab/adwardPuzzle_model_2done. The weights were trained on A photo of F&X4545 lady using DreamBooth. You can find some example images in the following.
DreamBooth for the text encoder was enabled: False.
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