import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("meageropoulos/Some_Models", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
- wan2.1-t2v-14b-Q5_0.gguf: Direct copy from Wan2.1-T2V-14B
- wan2.1-i2v-14b-480p-Q4_0.gguf: Direct copy from Wan2.1-I2V-14B
- wan_2.1_vae.safetensors: Direct copy from Comfy-Org
- clip_vision_h.safetensors: Direct copy from Comfy-Org
- umt5_xxl_fp8_e4m3fn_scaled.safetensors: Direct copy from Comfy-Org
- video_interpolation folder: Direct copy from Isi99999
- lipsync folder: Direct copy from Isi99999 and stabilityai
- audio_generation folder: Direct copy from google/magenta-realtime
license: apache-2.0
Refer to the afforementioned links for more information about the respective licenses.
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