Jonjew

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BioluminescenceFluxEdition

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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("Jonjew/BioluminescenceFluxEdition")

prompt = "{\"Prompt\": \"bioluminescence, a glowing bioluminescent female aline\", \"Negative\": \"\", \"steps\": 3, \"cfg\": 3.5, \"width\": 1024, \"height\": 1024, \"seed\": 3060232960, \"sampler_name\": \"euler\", \"scheduler\": \"beta\", \"base_model_name\": \"Flux.1 D/fluxFusionV24StepsGGUFNF4_V2GGUFQ4KS.gguf\", \"base_model_hash\": \"bba7bf2d\", \"loras\": [[\"\", \"1.4 - Flux.1 D/Bioluminescence_Flux_Edition.safetensors\"]], \"start_step\": 0, \"denoise\": null, \"clip_skip\": 1, \"software\": \"RuinedFooocus\"}"
image = pipe(prompt).images[0]