Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion
stable-diffusion-xl
realistic
photorealistic
pony
Instructions to use AIGaming/mist with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIGaming/mist with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIGaming/mist", dtype=torch.bfloat16, device_map="cuda") prompt = "Realistic,Traditional Chinese female portrait,delicate facial features,youthful woman,intricate hair adorned with floral accessories,rosy cheeks,slender neck,wearing an ornate qipao with elaborate embroidery,vibrant warm hues,cultural attire signifying elegance and status,serene and graceful demeanor,adorned with understated drop earrings,clear attention to textile patterns and jewelry details,soft pastel background complementing the subject's gentle visage,artistic inspiration likely drawn from historical Chinese paintings or modern reinterpretations thereof,volumetric lighting, depth of field, cinematic, vibrant, shadows, detailed ,score_9,source_photo," image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Commit History
chore: Update README.md with new text-to-image prompt and output URL c38581f
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chore: Update model_index.json with new scheduler and safety checker a2c4d59
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chore: Update scheduler in model_index.json to use EulerDiscreteScheduler 331b274
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