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:
- 8be295561296d54a739af48fcd5dadd440c8ad462b7c4c8171cf0a854952d4ed
- Size of remote file:
- 278 kB
- SHA256:
- d83c111443c2ce69f77a28c6d01efd3f93366be1121c2cb369c19ebd141a2fd0
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