Instructions to use Jovie/Retro_Schnell with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jovie/Retro_Schnell 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-schnell", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Jovie/Retro_Schnell") prompt = "cat in cyborg suit" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by Jovie - opened
- README.md +4 -0
- images/example_r7vz4bz2u.png +0 -0
README.md
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- template:sd-lora
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base_model: black-forest-labs/FLUX.1-schnell
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instance_prompt: anime
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---
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# anime model style
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- template:sd-lora
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base_model: black-forest-labs/FLUX.1-schnell
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instance_prompt: anime
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widget:
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- text: cat in cyborg suit
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output:
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url: images/example_r7vz4bz2u.png
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---
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# anime model style
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images/example_r7vz4bz2u.png
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