Instructions to use SurjoLabs/Surjo-Image-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SurjoLabs/Surjo-Image-Preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SurjoLabs/Surjo-Image-Preview", 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 Settings
- Draw Things
- DiffusionBee
File size: 511 Bytes
28db2ee | 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 | {
"_class_name": "SurjoImagePreviewDiT",
"auto_map": {
"AutoModel": "modeling_surjo_image_preview.SurjoImagePreviewDiT"
},
"deepsup": true,
"dim": 512,
"freq_dim": 256,
"heads": 8,
"in_ch": 128,
"loop_iters": 2,
"mlp_ratio": 4.0,
"model_type": "surjo_image_preview",
"n_tokens": 256,
"repa_dim": 384,
"rope_theta": 10000.0,
"split": [
7,
4,
7
],
"t_scale": 1000.0,
"text_dim": 1024,
"transformers_version": "5.13.1",
"xsa": true
} |