Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
pony
Instructions to use BBbb22/daisy_v30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BBbb22/daisy_v30 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BBbb22/daisy_v30", 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:
- 5dbc841b2a1af19d63a8bc4ff3aeb0b0273971923fd0c9d75220fe84de6a69ec
- Size of remote file:
- 335 MB
- SHA256:
- 3e0cd8e5407f9b328bf8ea4b43abe1e341d7a0d09d06e119edef6fb2a516c63d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.