Instructions to use Chuso/chusia with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Chuso/chusia 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("Chuso/chusia") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add generated example
#1
by Chuso - opened
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- README.md +6 -1
- images/example_smfvldvhd.png +3 -0
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README.md
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt:
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# lora1
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- diffusers
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- fal
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: null
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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widget:
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- text: chusia potrai smiling
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output:
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url: images/example_smfvldvhd.png
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---
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# lora1
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images/example_smfvldvhd.png
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Git LFS Details
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