Qwen-Image
Collection
1 item • Updated
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Rin247/Qwen-Image-2.1", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Qwen-Image-2.1
Quantised media packages of Qwen/Qwen-Image-2.1.
MECHA Forge
MECHA — Model Engineering & Contextual Hearth Assembly
These media packages have been forged and optimized in the MECHA Forge. Each one holds the Denoiser, Text Encoder, and VAE components packaged together for easier deployment.
Available quantizations
| Quant | Denoiser | Text encoder | VAE |
|---|---|---|---|
| FP4 | FP4 | FP4 | FP8 |
| FP8 | FP8 | FP8 | FP8 |
| INT4 | INT4 | INT4 | INT8 |
| INT8 | INT8 | INT8 | INT8 |
The VAE is shared between formats: FP4 reuses the FP8 file, INT4 reuses the INT8 file.
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