Instructions to use renderartist/technically-color-wan with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use renderartist/technically-color-wan with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-T2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("renderartist/technically-color-wan") prompt = "A woman, appearing to be in her late 20s to early 30s, fair-skinned, with vibrant auburn hair styled in a vintage updo, gazes directly towards the viewer with captivating blue eyes, and full, red lips. She wears a blue dress with white polka dots and a contrasting light blue collar. A gold necklace adorns her neck, and matching gold earrings sparkle. Her right hand delicately holds the necklace. A sheep stands in the background to the left, and a stone wall forms a backdrop. The sky, partially visible, is a bright blue dotted with fluffy white clouds, enhancing the pastoral scene. The lighting is soft and natural, casting subtle shadows on her face and highlighting the textures of her dress and the rough stone wall. The overall mood is serene and idyllic, evoking a sense of calm and classic beauty, reminiscent of a portrait from the mid-20th century, with a slight vintage aesthetic." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Add 6 files
Browse files
Technically_Color_WAN_2_2_T2V_v1_000003750_high_noise.safetensors
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images/Technically_000_.png
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Git LFS Details
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images/Technically_001_.png
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images/Technically_00374_.png
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images/Technically_00382_.png
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