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:
- 3836147cf6f746abfc5f264a324e4f3d91002c8a6491ee194c4b417ed2f60ebe
- Size of remote file:
- 4 MB
- SHA256:
- 1a489f8c9fd255648590e1c94cc155bb5c3c905fdde23f6228eb598353f20c0f
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