Instructions to use zackix/mymodel01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zackix/mymodel01 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("zackix/mymodel01") prompt = "zachix01" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from zackix/mymodel01: direct link, hf CLI and curl.
- Browser
- Download file 729 Bytes
-
https://huggingface.co/zackix/mymodel01/resolve/main/README.md
- Command line
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hf download hf://zackix/mymodel01/README.md
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curl -L -o README.md https://huggingface.co/zackix/mymodel01/resolve/main/README.md
729 Bytes
metadata
tags:
- flux
- text-to-image
- lora
- diffusers
- fal
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: zachix01
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
mymodel01
Model description
my Fal.ai model
Trigger words
You should use zachix01 to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Training at fal.ai
Training was done using fal.ai/models/fal-ai/flux-lora-fast-training.