Instructions to use bb1070/low_coffee_table with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bb1070/low_coffee_table 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("bb1070/low_coffee_table") prompt = "GG" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Upload folder using huggingface_hub
Browse files- config.yaml +2 -2
- lora.safetensors +2 -2
config.yaml
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trigger_word: GG
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network:
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type: lora
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linear:
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linear_alpha:
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save:
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dtype: float16
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save_every: 1001
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trigger_word: GG
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network:
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type: lora
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linear: 16
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linear_alpha: 16
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save:
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dtype: float16
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save_every: 1001
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lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:23c885addac591cbefe9f7c1740c6cfdcd69f894907fc95bff37d8ada4ce1c1b
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size 171969408
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