Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
modelslab.com
stable-diffusion-api
ultra-realistic
Instructions to use stablediffusionapi/helloflatcolorful2d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/helloflatcolorful2d with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/helloflatcolorful2d", 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:
- bff7e49b2a16552da772579ee34e92457c0858be2f754461099fde9604c7eb41
- Size of remote file:
- 492 MB
- SHA256:
- b014b3c58869e357c6e7ab66d5e12019b8b7cfb7130f34ba653d88401fcc20b0
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