Instructions to use goofyai/3D_Render_for_Flux with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use goofyai/3D_Render_for_Flux 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("goofyai/3D_Render_for_Flux") prompt = "3d render of a girl, solo, brown eyes, looking at viewer, brown hair, smile, curly hair, shirt, indoors, short hair, lips, long sleeves, frilled nightgown, red bra, medium breasts, bedroom" 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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short hair, brown eyes, hoodie
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output:
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url: images/example_fdlur2mfm.png
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: 3D render
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-to-
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---
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# 3d Render
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short hair, brown eyes, hoodie
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output:
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url: images/example_fdlur2mfm.png
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instance_prompt: 3D render
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license: apache-2.0
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language:
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- en
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pipeline_tag: text-to-3d
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---
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# 3d Render
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