Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
diffusers-training
stable-diffusion-2
stable-diffusion-2-diffusers
science
materiomics
bio-inspired
materials science
text-to-3D
text-to-STL
text-t-mesh
additive manufacturing
3D
3D printing
Instructions to use lamm-mit/SD2x-leaf-inspired with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lamm-mit/SD2x-leaf-inspired with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lamm-mit/SD2x-leaf-inspired", dtype=torch.bfloat16, device_map="cuda") prompt = "<leaf microstructure>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 466 Bytes
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"do_convert_rgb": true,
"do_normalize": true,
"do_rescale": true,
"do_resize": true,
"image_mean": [
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"image_processor_type": "CLIPImageProcessor",
"image_std": [
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"resample": 3,
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"size": {
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