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
- Draw Things
- DiffusionBee
- Xet hash:
- 5dd9faaeaf143cc6bda5c5a9ba10e2ade6aa64efc78e54ed4ffea8f718a614a0
- Size of remote file:
- 167 MB
- SHA256:
- 9974e9bd90b834b8cb74fa53a63a64643fbeb02438301ac1adde0c042f70fd24
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