Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use gianyrox/TrainingNov29-5Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gianyrox/TrainingNov29-5Checkpoints with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gianyrox/TrainingNov29-5Checkpoints", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of Dr. Seuss's Lorax" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 44cfa505f9b67d934d9367eafb6064cb65c401a4dc429a3cdcf4e039e49abaf9
- Size of remote file:
- 3.44 GB
- SHA256:
- c00537d9b672a364cf15aff670690bcfe8d399b78013db5a25d15a9dcb99d573
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