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Added Kvikontent's Midjourney V6 Stable Diffusion LoRA Model #169

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Added Kvikontent's Midjourney V6 Stable Diffusion LoRA Model #169

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9 changes: 9 additions & 0 deletions bitmind/synthetic_data_generation/synthetic_data_generator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -418,6 +418,15 @@ def load_model(self, model_name: Optional[str] = None, modality: Optional[str] =
**pipeline_args,
add_watermarker=False
)

# Load LoRA weights if specified
if 'lora_model_id' in model_config:
bt.logging.info(f"Loading LoRA weights from {model_config['lora_model_id']}")
lora_loading_args = model_config.get('lora_loading_args', {})
self.model.load_lora_weights(
model_config['lora_model_id'],
**lora_loading_args
)

# Load scheduler if specified
if 'scheduler' in model_config:
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15 changes: 14 additions & 1 deletion bitmind/validator/config.py
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Expand Up @@ -178,6 +178,19 @@ class Modality(StrEnum):
},
"enable_model_cpu_offload": False
},
"runwayml/stable-diffusion-v1-5-midjourney-v6": {
"pipeline_cls": StableDiffusionPipeline,
"from_pretrained_args": {
"model_id": "runwayml/stable-diffusion-v1-5",
"use_safetensors": True,
"torch_dtype": torch.float16,
},
"lora_model_id": "Kvikontent/midjourney-v6",
"lora_loading_args": {
"use_peft_backend": True
},
"enable_model_cpu_offload": False
},
"prompthero/openjourney-v4" : {
"pipeline_cls": StableDiffusionPipeline,
"from_pretrained_args": {
Expand Down Expand Up @@ -442,4 +455,4 @@ def select_random_model(task: Optional[str] = None) -> str:
elif task == 'i2i':
return np.random.choice(I2I_MODEL_NAMES)
else:
raise NotImplementedError(f"Unsupported task: {task}")
raise NotImplementedError(f"Unsupported task: {task}")
1 change: 1 addition & 0 deletions requirements.txt
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Expand Up @@ -17,6 +17,7 @@ timm==1.0.12
einops==0.8.0
ultralytics==8.3.44
janus @ git+https://github.com/deepseek-ai/Janus.git
peft==0.15.0

# Image/Video processing
datasets==3.1.0
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