Instructions to use mann-e/Mann-E_Turbo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mann-e/Mann-E_Turbo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mann-e/Mann-E_Turbo") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- f724de05255cb8b09900499b36694ba65b7fd8bf6cfebaa22254dfcd5754a586
- Size of remote file:
- 3.32 MB
- SHA256:
- 69b714e751867dfe2be4194e865302f36e23225aac0d4e152080c2265ae004f4
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