Instructions to use Gemneye/M8il3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gemneye/M8il3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Gemneye/M8il3") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload M8il3_v1.0.safetensors with huggingface_hub
Browse files- M8il3_v1.0.safetensors +3 -0
M8il3_v1.0.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:86326b79bf5a6c33fe16a16cb79c61e9602a86c561937ae4ff63a136c1cefced
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size 171969400
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