Instructions to use leonel4rd/Animefluxv1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use leonel4rd/Animefluxv1 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("leonel4rd/Animefluxv1") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Browse files
MJanime_Flux_LoRa_v3_Final.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e9ede91ef2fc652b2260439624f0aa904c5c0cc278e191a4682e93a15f32e945
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size 229870760
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images/b1b75572-9042-4542-8067-c4b094656c97.jpeg
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Git LFS Details
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