Instructions to use EVA787797/78778 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EVA787797/78778 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("EVA787797/78778") prompt = "-" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by EVA787797 - opened
- README.md +4 -0
- images/example_lona8nvj9.png +3 -0
README.md
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@@ -9,6 +9,9 @@ widget:
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- text: '-'
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output:
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url: images/téléchargement (2).jfif
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base_model:
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- black-forest-labs/FLUX.1-dev
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instance_prompt: femme
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- en
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- it
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- ja
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---
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# pipeline.py __init_
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- text: '-'
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output:
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url: images/téléchargement (2).jfif
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- text: '-femme'
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output:
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url: images/example_lona8nvj9.png
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base_model:
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- black-forest-labs/FLUX.1-dev
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instance_prompt: femme
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- en
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- it
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- ja
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---
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# pipeline.py __init_
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images/example_lona8nvj9.png
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Git LFS Details
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