FP8 E5M2
Collection
1 item • Updated
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("BigDannyPt/FP8-E5M2-Collection", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Just a collection of some models that I've converted to fp8_e5m2 for better compatability with my RX6800
The ones that end with _All means that can be used without CLIP and VAE, so it is the whole model
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if you would like to help me, it seems that runpod has a Refer thing - https://runpod.io?ref=d2452mau
| You get | I get |
|---|---|
| - A one-time credit of $5 when they sign up with your link and adds $10 for the first time - Instant access to Runpod's GPU resources |
- A one-time credit of $5 when a user signs up with your link and adds $10 for the first time - Credits on referred user spend during their first 6 months. (5% Serverless and 3% Pods) |
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