Instructions to use ChenkinRF/ChenkinNoob-XL-v0.3-Rectified-Flow with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChenkinRF/ChenkinNoob-XL-v0.3-Rectified-Flow with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ChenkinRF/ChenkinNoob-XL-v0.3-Rectified-Flow", dtype=torch.bfloat16, device_map="cuda") prompt = "solipsist, alphonse elric, edward elric, 2boys, ahoge, armor, back-to-back, belt, black coat, black pants, black shirt, blonde hair, braid, braided ponytail, brothers, buckle, building, closed mouth, coat, cowboy shot, expressionless, from side, full armor, grey hair, hand in pocket, hands in pockets, helmet, hood, hooded coat, jacket, knight, long hair, long sleeves, looking up, male focus, multiple boys, open clothes, open coat, outdoors, pants, profile, red coat, shadow, shirt, siblings, single braid, standing, foot out of frame, wide shot, side-by-side, grey sky, cloudy sky, european architecture, masterpiece, best quality, aesthetic" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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