Instructions to use falanaja/Amateur-Photography with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use falanaja/Amateur-Photography 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("falanaja/Amateur-Photography") prompt = "In a close-up shot inside a messy artistâs studio, a slightly unhinged-looking guy in his late 30s, with wild hair and paint splattered all over his face and shirt, holds up a piece of paper proudly. Heâs grinning like heâs just solved a life mystery, showing off his \"masterpiece\" with pure, chaotic joy. The paper reads: \"Since SD 3.5 Large cannot draw me, I drew myself using Flux!\" The self-portrait is a stick figure that looks like a childâs scribble, but the manâs expression says he genuinely believes it's a masterpiece. Behind him, paint tubes and half-finished canvases are scattered everywhere, adding to the creative madness of the scene <lora:amateurphoto-v6-forcu:0.8>" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add 2 files
Browse files- amateurphoto-v6-forcu.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:2a485ec548e540ef663eb5e8c6c0af49af4519005247d14bd022d2f5a7e21ce1
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size 306428682
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