Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use WildPress/model2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WildPress/model2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WildPress/model2", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of simbimbi cat" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e7e3c5395a2d76a64910b2a40fa46b050637a1c4197712d9c360f09da68b1868
- Size of remote file:
- 3.44 GB
- SHA256:
- 306b3b851d037389326781b823bd7df5415614f113e87ad4d3d260e877ebe1bf
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