Instructions to use lyraaaa/flux-collage-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lyraaaa/flux-collage-v1 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("lyraaaa/flux-collage-v1") prompt = "collage, flowers, women, dresses, typography, colorful, abstract, chaotic, multimedia" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
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README.md
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@@ -57,7 +57,7 @@ pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=
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lora_weight = 1.2
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pipe.load_lora_weights(
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'/
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adapter_name='collage_v1'
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)
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pipe.set_adapters('collage_v1', adapter_weights=[lora_weight])
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lora_weight = 1.2
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pipe.load_lora_weights(
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'bleepybloops/flux-collage-v1',
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adapter_name='collage_v1'
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)
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pipe.set_adapters('collage_v1', adapter_weights=[lora_weight])
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