Instructions to use dvyio/flux-lora-doom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dvyio/flux-lora-doom 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("dvyio/flux-lora-doom") prompt = "a glowing jellyfish, pixellated video game screenshot in the style of DMGM" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 41f1754baeb79d22460a2a183b32283fadc0979169f9c6d1fbe4e06733cd0468
- Size of remote file:
- 221 kB
- SHA256:
- b8d08dbabd15e3f49232782d53e22b60824e24c1e916d43b68d00804af681f71
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