Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
diffusers-training
Instructions to use nroggendorff/fry-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nroggendorff/fry-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nroggendorff/fry-diffusion", 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:
- 60db68e09d3296d4c8bd4b0f5f0d508f9672705e3e5bc7b8ede1b37de36acff2
- Size of remote file:
- 246 MB
- SHA256:
- a54460da03e04aa9547c0795aeedf356f07581e229fefa55763b5bbd29bf0100
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