Text-to-Image
Diffusers
Safetensors
English
StableDiffusionXLPipeline
art
people
diffusion
Cinematic
Photography
Landscape
Interior
Food
Car
Wildlife
Architecture
Instructions to use dreamcomputing/ProtoNaut with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dreamcomputing/ProtoNaut with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("dreamcomputing/ProtoNaut", 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
| language: | |
| - en | |
| license: cc-by-nc-nd-4.0 | |
| library_name: diffusers | |
| tags: | |
| - art | |
| - people | |
| - diffusion | |
| - Cinematic | |
| - Photography | |
| - Landscape | |
| - Interior | |
| - Food | |
| - Car | |
| - Wildlife | |
| - Architecture | |
| thumbnail: >- | |
| https://storage.googleapis.com/run-diffusion-public-assets/juggernaut-xi/juggernaut-collage-256.webp | |
| base_model: | |
| - RunDiffusion/Juggernaut-XI-v11 | |
| - CalypsoCrunchies99/protovisionXLHighfidelity3d_realease0620dff_vaefix | |
| pipeline_tag: text-to-image | |