Instructions to use nerijs/flux-waldo1024-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nerijs/flux-waldo1024-v1 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("nerijs/flux-waldo1024-v1") prompt = "a medieval village with a castle on top, there's a river and a forest on the sides" 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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@@ -56,6 +56,7 @@ FLUX.1 Dev LoRa aiming to generate Wimmelbilder Where's Waldo style images
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- Strength at 1.0 without trigger and 0.7/0.8 with trigger
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- This model really likes landscape aspect ratios
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- At 1.0 strength, the style is way better, but the model tends to generate a lot of malformed people
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## How to use it
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- Used best with a Comfy fp16/bf16 checkpoint, use it as any other Lora
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- Strength at 1.0 without trigger and 0.7/0.8 with trigger
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- This model really likes landscape aspect ratios
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- At 1.0 strength, the style is way better, but the model tends to generate a lot of malformed people
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- If you really want to get the best quality possible, try generating at **1664x1216**
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## How to use it
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- Used best with a Comfy fp16/bf16 checkpoint, use it as any other Lora
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