import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Garg5315/market-analysis-ai")
prompt = "A modern financial dashboard showing stock market charts, candlestick graphs, market trends, AI-powered analytics, blue futuristic interface, professional fintech style, highly detailed."
image = pipe(prompt).images[0]Market Analysis AI
- Prompt
- A modern financial dashboard showing stock market charts, candlestick graphs, market trends, AI-powered analytics, blue futuristic interface, professional fintech style, highly detailed.
- Negative Prompt
- blurry, low quality, watermark, text, logo, distorted, cropped, duplicate, noisy, artifacts, low resolution
Model description
Fine-tuned using Adaption AutoScientist with LoRA on an instruction-following dataset. The model was trained using Mixtral-8x7B-Instruct-v0.1 and optimized through AutoScientist. This repository contains the fine-tuned LoRA weights for research and educational purposes.
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mistralai/Mixtral-8x7B-v0.1 Finetuned
mistralai/Mixtral-8x7B-Instruct-v0.1