Instructions to use MrForExample/Unique3D with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MrForExample/Unique3D with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MrForExample/Unique3D", 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
File size: 646 Bytes
e902342 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | {
"_class_name": "StableDiffusionImageCustomPipeline",
"_diffusers_version": "0.27.2",
"_name_or_path": "lambdalabs/sd-image-variations-diffusers",
"feature_extractor": [
"transformers",
"CLIPImageProcessor"
],
"image_encoder": [
"transformers",
"CLIPVisionModelWithProjection"
],
"noisy_cond_latents": false,
"requires_safety_checker": true,
"safety_checker": [
null,
null
],
"scheduler": [
"diffusers",
"EulerAncestralDiscreteScheduler"
],
"unet": [
"diffusers",
"UNet2DConditionModel"
],
"vae": [
"diffusers",
"AutoencoderKL"
]
}
|