Instructions to use AbhaySatpute/asianboy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AbhaySatpute/asianboy 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("AbhaySatpute/asianboy") prompt = "UNICODE\u0000{\u0000\"\u0000A\u0000D\u0000M\u0000 \u0000G\u0000u\u0000i\u0000d\u0000a\u0000n\u0000c\u0000e\u0000\"\u0000:\u0000 \u0000\"\u0000(\u00001\u0000.\u00005\u0000,\u0000 \u00000\u0000.\u00008\u0000,\u0000 \u00000\u0000.\u00003\u0000)\u0000\"\u0000,\u0000 \u0000\"\u0000B\u0000a\u0000c\u0000k\u0000e\u0000n\u0000d\u0000 \u0000E\u0000n\u0000g\u0000i\u0000n\u0000e\u0000\"\u0000:\u0000 \u0000\"\u0000F\u0000l\u0000u\u0000x\u0000.\u00001\u0000\"\u0000,\u0000 \u0000\"\u0000B\u0000a\u0000s\u0000e\u0000 \u0000M\u0000o\u0000d\u0000e\u0000l\u0000\"\u0000:\u0000 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\u0000(\u0000m\u0000o\u0000d\u0000e\u0000l\u0000)\u0000\"\u0000,\u0000 \u0000\"\u0000V\u0000e\u0000r\u0000s\u0000i\u0000o\u0000n\u0000\"\u0000:\u0000 \u0000\"\u0000F\u0000o\u0000o\u0000o\u0000c\u0000u\u0000s\u0000 \u0000v\u00002\u0000.\u00005\u0000.\u00005\u0000 \u0000S\u0000i\u0000m\u0000p\u0000l\u0000e\u0000S\u0000D\u0000X\u0000L\u0000_\u0000d\u0000e\u0000v\u0000_\u0000v\u00002\u00000\u00002\u00004\u00000\u00009\u00001\u00000\u0000.\u00007\u00004\u00000\u00008\u00002\u00009\u00005\u0000\"\u0000,\u0000 \u0000\"\u0000s\u0000t\u0000y\u0000l\u0000e\u0000s\u0000_\u0000d\u0000e\u0000f\u0000i\u0000n\u0000i\u0000t\u0000i\u0000o\u0000n\u0000\"\u0000:\u0000 \u0000\"\u0000\"\u0000}\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
asianboy

- Prompt
- UNICODE{"ADM Guidance": "(1.5, 0.8, 0.3)", "Backend Engine": "Flux.1", "Base Model": "FLUX.1\u54e9\u5e03\u5728\u7ebf\u53ef\u8fd0\u884c-\u9ed1\u6697\u68ee\u6797\u5de5\u4f5c\u5ba4_FLUX.1-dev-fp8", "Base Model Hash": "1be961341b", "Fooocus V2 Expansion": "", "Full Negative Prompt": [""], "Full Prompt": ["asian, an asian man, daylight"], "Guidance Scale": 3.5, "LoRA 1": "asianboy : 0.9", "LoRAs": [["asianboy", 0.9, "de919ce910"]], "Metadata Scheme": "simple", "Negative Prompt": "", "Performance": "Speed", "Prompt": "asian, an asian man, daylight", "Refiner Model": "", "Refiner Switch": 1.0, "Resolution": "(720, 1280)", "Sampler": "deis", "Scheduler": "simple", "Seed": "958234119718093146", "Sharpness": 2, "Steps": 20, "Styles": "[]", "VAE": "Default (model)", "Version": "Fooocus v2.5.5 SimpleSDXL_dev_v20240910.7408295", "styles_definition": ""}

- Prompt
- UNICODE{"ADM Guidance": "(1.5, 0.8, 0.3)", "Backend Engine": "Flux.1", "Base Model": "FLUX.1\u54e9\u5e03\u5728\u7ebf\u53ef\u8fd0\u884c-\u9ed1\u6697\u68ee\u6797\u5de5\u4f5c\u5ba4_FLUX.1-dev-fp8", "Base Model Hash": "1be961341b", "Fooocus V2 Expansion": "", "Full Negative Prompt": [""], "Full Prompt": ["asian, an asian man, daylight, taken by iPhone, Greg Hsu"], "Guidance Scale": 3.5, "LoRA 1": "asianboy : 0.9", "LoRAs": [["asianboy", 0.9, "de919ce910"]], "Metadata Scheme": "simple", "Negative Prompt": "", "Performance": "Speed", "Prompt": "asian, an asian man, daylight, taken by iPhone, Greg Hsu", "Refiner Model": "", "Refiner Switch": 1.0, "Resolution": "(720, 1280)", "Sampler": "deis", "Scheduler": "simple", "Seed": "6580127189471149160", "Sharpness": 2, "Steps": 20, "Styles": "[]", "VAE": "Default (model)", "Version": "Fooocus v2.5.5 SimpleSDXL_dev_v20240910.7408295", "styles_definition": ""}

- Prompt
- UNICODE{"ADM Guidance": "(1.5, 0.8, 0.3)", "Backend Engine": "Flux.1", "Base Model": "FLUX.1\u54e9\u5e03\u5728\u7ebf\u53ef\u8fd0\u884c-\u9ed1\u6697\u68ee\u6797\u5de5\u4f5c\u5ba4_FLUX.1-dev-fp8", "Base Model Hash": "1be961341b", "Fooocus V2 Expansion": "", "Full Negative Prompt": [""], "Full Prompt": ["asian, an asian man, daylight"], "Guidance Scale": 3.5, "LoRA 1": "asianboy : 0.9", "LoRAs": [["asianboy", 0.9, "de919ce910"]], "Metadata Scheme": "simple", "Negative Prompt": "", "Performance": "Speed", "Prompt": "asian, an asian man, daylight", "Refiner Model": "", "Refiner Switch": 1.0, "Resolution": "(720, 1280)", "Sampler": "deis", "Scheduler": "simple", "Seed": "958234119718093144", "Sharpness": 2, "Steps": 20, "Styles": "[]", "VAE": "Default (model)", "Version": "Fooocus v2.5.5 SimpleSDXL_dev_v20240910.7408295", "styles_definition": ""}
Model description
Trigger Word - asian
Trigger words
You should use asian to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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