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:
- d83918176f4be8c95206171124d5ecf5f971f429a22f6e52d0e7b72eb6abc80e
- Size of remote file:
- 492 MB
- SHA256:
- 9a57bfb5b6835a098cd88ee28c145334b00f5c7fcc0f27210c6fa0b319ede1cc
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