Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use danielajisafe/trainable_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use danielajisafe/trainable_text with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("danielajisafe/trainable_text", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8918c36ef4bde5be923d860b504fcdef477271be55c44ffbba874a30579dcd16
- Size of remote file:
- 492 MB
- SHA256:
- 45f77584d7cc235aea1f3d93f941ef4684d1c437f8a36d74e930439200c28ef4
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