Instructions to use black-forest-labs/FLUX.1-Krea-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use black-forest-labs/FLUX.1-Krea-dev 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-Krea-dev", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
This "fine-tune" is broken
Yes, it gets rid of the "AI look", but It suffers from some of the things I would see in an amateur SDXL fine-tune: "same pose syndrome" - the model no longer understands different shot types well (portrait, upper body, full body, etc); more body horror - how you managed this is beyond me. Similarly, more difficulty with understanding what clothing looks like; biased towards Asians: most of the time if I prompt "a pretty brunette woman" I'm going to end up with the same or similar looking person.
I may be a jerk, but I'm also not wrong. This is trash.
seems fine to me
finetuning is finetuning.
I agree, I'm using an FP8 model, maybe it's a bad conversion but for me it's softens the impact of the generation, lots of flux 1 dev loras don't work well with it, it's like a watered down version to try and eliminate the chin taste but end up reducing the richness of the other flavours (colours/ dynamic contrast). Maybe I'm using it wrong, or haven't set it up right?