Instructions to use aipracticecafe/dual-stream-dit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aipracticecafe/dual-stream-dit with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aipracticecafe/dual-stream-dit", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, souryuu asuka langley, neon genesis evangelion, rebuild of evangelion, evangelion: 3.0 you can \\(not\\) redo, momoko \\(momopoco\\), toosaka asagi, ebifurya, sensitive, masterpiece, good score, absurdres, highres, best quality, amazing quality, great quality, solo, long hair, blue eyes, orange hair, breasts, parted lips, official alternate costume, pilot suit, red bodysuit, black eye patch, animal hat, cabbie hat, cat hat, black hat, gloves, hat, hat horns, jacket, mecha pilot suit, bodysuit under clothes, red gloves, red jacket, track jacket, turtleneck, turtleneck jacket, interface headset, multicolored clothes, interface headset \\(evangelion\\), upper body, simple background" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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