Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Anime
Style
advokat
Clumsy_Trainer
DucHaiten
iamxenos
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Chip_n_DallE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Chip_n_DallE with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Chip_n_DallE", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b6dbda8c8eee82403eba67e1057dbdd6fc0cfe43fe28d69a5f791db83546b7dc
- Size of remote file:
- 335 MB
- SHA256:
- 4f41d2a985f6841810e7bbd905f17abc2195fb51d8017fc4f34eaa1a8d6dda78
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.