Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
dreambooth
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use ivanboring/models-moved with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ivanboring/models-moved with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ivanboring/models-moved", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of marcusjohanssonjjjj face" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 18819f49b7409cb5d5313bebb6a54dc093f252d652b96a7b68d6d84ff4ba3318
- Size of remote file:
- 3.44 GB
- SHA256:
- 576f574502de9a5bcf8566a63075d467b8db3a7d22e2414003a3eab2210b5184
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